Artykuły w czasopismach: „Controller”

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M, Nagarajapandian, Sharmila B, Kanthalakshmi S i Anitha T. "Reconfigurable Controller Design for based Controllers Used in Multivariable Methods". Journal of Advanced Research in Dynamical and Control Systems 11, nr 11-SPECIAL ISSUE (20.02.2019): 612–20. http://dx.doi.org/10.5373/jardcs/v11sp11/20193074.

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Soh, Christina, Cecil Eng Huang Chua i Harminder Singh. "Managing Diverse Stakeholders in Enterprise Systems Projects: A Control Portfolio Approach". Journal of Information Technology 26, nr 1 (marzec 2011): 16–31. http://dx.doi.org/10.1057/jit.2010.13.

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While substantial research has examined the control of Information systems (IS) projects, most studies In this area have only examined how one controller manages a single group of controllees. However, many IS projects, especially enterprise systems projects (often initiated by an organization's corporate headquarters, and involving business unit users and consultants), have multiple stakeholders. The corporate headquarters (the project's principal controller) must simultaneously ensure that the various stakeholders are aligned with the project's goals despite their diverse motivations, and that the stakeholders collaborate with each other to achieve project success. Behavior control theory argues that the controller enacts a control portfolio of formal and Informal controls. However, the presence of multiple controllee groups increases the complexity of vertical controller- controllee relationships, the salience of controllee-controllee relationships, and the interaction between these vertical and horizontal relationships. We therefore examined the creation and evolution of the control portfolio In a multi-stakeholder project over a period of 14 months. We found that (1) the principal controller did enact separate controls for the user and consultant groups; (2) there was more than one controller - the principal controller co-existed with subordinate controllers; and (3) controls enacted by the subordinate controllers and other controllees that cut across stakeholder groups required the support of the principal controller.

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Abed, Hayder Yousif, Abdulrahim Thiab Humod i Amjad J. Humaidi. "Type 1 versus type 2 fuzzy logic speed controllers for brushless dc motors". International Journal of Electrical and Computer Engineering (IJECE) 10, nr 1 (1.02.2020): 265. http://dx.doi.org/10.11591/ijece.v10i1.pp265-274.

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<span lang="EN-US">This work presented two fuzzy logic (FL) schemes for speed-controlled brushless DC motors. The first controller is a Type 1 FL controller (T1FLC), whereas the second controller is an interval Type 2 FL controller (IT2FLC). The two proposed controllers were compared in terms of system dynamics and performance. For a fair comparison, the same type and number of membership functions were used for both controllers. The effectiveness of the structures of the two FL controllers was verified through simulation in MATLAB/SIMULINK environment. Simulation result showed that IT2FLC exhibited better performance than T1FLC.</span>

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Midhat, Bashar Fateh, i Amjad Jaleel Humaidi. "Performance Comparison of Different Advanced Control Schemes for Glucose Level Control under Disturbing Meal". Al-Khwarizmi Engineering Journal 13, nr 3 (13.12.2017): 55–63. http://dx.doi.org/10.22153/kej.2017.03.003.

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Abstract In this work, diabetic glucose concentration level control under disturbing meal has been controlled using two set of advanced controllers. The first set is sliding mode controllers (classical and integral) and the second set is represented by optimal LQR controllers (classical and Min-, ax). Due to their characteristic features of disturbance rejection, both integral sliding mode controller and LQR Minmax controller are dedicated here for comparison. The Bergman minimal mathematical model was used to represent the dynamic behavior of a diabetic patient’s blood glucose concentration to the insulin injection. Simulations based on Matlab/Simulink, were performed to verify the performance of each controller. In spite that Min-max optimal controller gave better disturbance rejection capability than classical optimal controller, classical sliding mode controller could outperform Min-max controller. However, it has been shown that integral sliding mode controller is the best of all in terms of disturbance rejection capability. Key words: Optimal LQR control, Optimalminimax control, Sliding mode control, Integral sliding mode control.

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Awad, Fathy H., Ahmed A. Mansour i Essam E. Abou Elzahab. "Thyristor Controlled Reactor with Different Topologies Based on Fuzzy Logic Controller". International Journal of Engineering Research 4, nr 9 (1.09.2015): 498–505. http://dx.doi.org/10.17950/ijer/v4s9/906.

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Aslam, Muhammad Anique, Syed Abdul Rahman Kashif, Muhammad Majid Gulzar, Mohammed Alqahtani i Muhammad Khalid. "A Novel Multi Level Dynamic Decomposition Based Coordinated Control of Electric Vehicles in Multimicrogrids". Sustainability 15, nr 16 (21.08.2023): 12648. http://dx.doi.org/10.3390/su151612648.

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This paper presents a novel tetra-level dynamic decomposition-based control approach for coordinated operation of electric vehicles in multimicrogrids, which is comprehensive, generic, modular, and secure in nature, to maximize the utilization of renewable energy sources, while meeting the load demands with the resources available. There are a number of microgrids that are connected to the grid. Each microgrid consists of a number of renewable energy sources, energy storage systems, non-renewable energy sources, electric vehicles, and loads. Each distributed energy source or load is controlled by a microsource controller. All microsource controllers with a similar nature are controlled by a unit controller, and all the unit controllers in a microgrid are controlled by a microgrid controller. There is a single multimicrogrid controller at the top. The proposed control scheme was verified through simulation-based case studies.

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Stec, Andrzej, Zbigniew Świder i Leszek Trybus. "Uniform Design of Heading and Track Controllers for Ship Autopilot". Pomiary Automatyka Robotyka 27, nr 1 (20.02.2023): 45–50. http://dx.doi.org/10.14313/par_247/45.

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Uniform approach to selection of PID settings for heading and path tracking controllers that create a cascade control system for ship autopilot is presented. Uniformity of the design follows from observation that for each of the controllers the controlled plant looks like an integrator with time constant. In case of the heading controller, the plant is represented by the known Nomoto model. Due to elimination of the plant time constant by the controller, each of the closed loop systems becomes of 2nd order. One assumes that such system should have a double time constant, different in a prescribed ratio from time constant of the controlled plant. It is shown that the heading controller designed in this way suppresses disturbances better than the controller with standard settings.

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Okafor, Ekene G., Emmanuel Okafor, Osichinaka C. Ubadike, Mohammed T. Abba, Paul O. Jemitola, Ahmed A. Shinkafi, Gowon Sule, Mathias U. Bonnet i Daniel Udekwe. "ELECTRIC VEHICLE INTEGRATED WITH PMSM AND REGENERATIVE BRAKING SYSTEM SPEED EVALUATION BASED ON DIVERSE CONTROL STRATEGIES". Journal of Southwest Jiaotong University 56, nr 6 (24.12.2021): 357–69. http://dx.doi.org/10.35741/issn.0258-2724.56.6.30.

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The choice of a vehicle speed controller for a permanent magnet synchronous driven battery electric vehicle (BEV), integrated with a regenerative braking system (RBS), plays a pertinent role in how far a vehicle can travel. While many studies have implemented varied control strategies, the proportional-integral (PI) based controller is predominately studied and practically used. Generally, the performance of PI controller compared to Modeled Predictive Controller; Reference Tracking Signal Controller Based on Generated Polynomial and Reference Tracking Signal Controller Based on Controlled Polynomial in a permanent magnet synchronous motor (PMSM) driven battery electric vehicle integrated with RBS speed control based on field-oriented control mechanism is lacking. In order to address that shortcoming, this paper aims to investigate the performance of a PI controller compared to generalized predictive controllers based on the difference between a reference speed and a controlled speed of the battery electric vehicle. The performance for each controller considered was evaluated in terms of the state of charge (SOC), R^2, slip ratio, minimum error metrics, and peak speed using real-time driving scenario factoring braking, throttling, wind speed, and cruise effects for 15 s. The results show that the PI controller outperforms the other controllers on most metrics. Except for the peak SOC, slip ratio, and peak speed, the Reference Tracking Signal Controller Based on Generated Polynomial seems to be better, although with a drawback of the highest error metrics. Generally, all the controllers yielded excellent regenerative braking effects in SOC and effective control of the speed trajectory.

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Zhang, Bowei, i Pengcheng Liu. "Control and benchmarking of a 7-DOF robotic arm using Gazebo and ROS". PeerJ Computer Science 7 (23.03.2021): e383. http://dx.doi.org/10.7717/peerj-cs.383.

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The robot controller plays an important role in controlling the robot. The controller mainly aims to eliminate or suppress the influence of uncertain factors on the control robot. Furthermore, there are many types of controllers, and different types of controllers have different features. To explore the differences between controllers of the same category, this article studies some controllers from basic controllers and advanced controllers. This article conducts the benchmarking of the selected controller through pre-set tests. The test task is the most commonly used pick and place. Furthermore, to complete the robustness test, a task of external force interference is also set to observe whether the controller can control the robot arm to return to a normal state. Subsequently, the accuracy, control efficiency, jitter and robustness of the robot arm controlled by the controller are analyzed by comparing the Position and Effort data. Finally, some future works of the benchmarking and reasonable improvement methods are discussed.

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Uyar, Okan. "Control of Linear Electric Actuator with Hybrid Fuzzy PID Controller". Proceedings of The International Conference on Academic Research in Science, Technology and Engineering 1, nr 1 (31.07.2023): 39–47. http://dx.doi.org/10.33422/icarste.v1i1.61.

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In this study, the actuator, which converts circular motion to linear motion, is controlled with a smart hybrid controller. The model includes the analysis of electrical and mechanical parts. The controller, on the other hand, has a design methodology that cleverly blends classical PID (Proportional Integral Derivative) and fuzzy controllers. In this design methodology, classical PID and fuzzy controller have an error parameter dependent blending mechanism. In order to compare the performance of the hybrid controller, the coefficients of the classical PI and PID controllers were obtained by tuning and the coefficients with the best response were used. For performance comparison of conventional controllers and hybrid controllers; rise time, settling time, maximum overshoot and common performance indices values are used. The hybrid controller showed higher performance in terms of maximum overshoot, settling time, rising time and performance indices. The potential benefits of using a hybrid controller for the control of linear electric actuators were demonstrated by the fact that it performed better than conventional PID controllers on the majority of evaluation criteria.

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Brahim, Dahhou, Bendjebbar Mokhtar i Lachtar Salah. "Improvement of adaptive fuzzy control to adjust speed for a doubly fed induction motor drive (DFIM)". International Journal of Power Electronics and Drive Systems (IJPEDS) 11, nr 1 (1.06.2020): 496. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp496-504.

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This paper presents the doubly fed induction motor (DFIM) speed control using adaptive fuzzy logic PI (AFLPI) controller to give better dynamic performances. Before the advent of modern technology, integral proportional based current controller is usually used due to its simplicity. But, the performance of closed-loop control is largely influenced by this type of speed and torque controllers used, as long as the PI controllers suffer from tuning problem. To overcome the problem, a new technique AFLPI based speed controller for direct field oriented control fed DFIM to get fast speed response and to minimize the torque ripple. The application of this type of control is very satisfactory to replace the conventional PI controller and, even the fuzzy logic PI (FLPI) controller. The performance of the field oriented controlled DFIM drive has simulated at different operating conditions using the AFLPI controller and the obtained results are compared with FLPI controller and conventional PI controller. Accordingly, an improvement in dynamic and robustness is clearly appears in AFLPI controller simulation results compared to the others aforementioned controllers. Simulation Results are presented for the three techniques using Matlab/Simulink to prove the dynamic performances and robustness.

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H. Abood, Layla, Bashra Kadhim Oleiwi i Ekbal Hussain Ali. "Optimal backstepping controller for controlling DC motor speed". Bulletin of Electrical Engineering and Informatics 11, nr 5 (1.10.2022): 2564–72. http://dx.doi.org/10.11591/eei.v11i5.3940.

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In this paper, squirrel search algorithm (SSA) is adapted to tune the optimal parameters of a backstepping controller for controlling speed in DC motor; Lyapunov stability theorem is applied to derive the control low to achieve system stability analysis. M-file and Simulink platform is used to simulate the response of the system, a comparison with conventional controllers is utilized, all gains are tuned using SSA method and integral time absolute error (ITAE) fitness function to test the efficient performance of the proposed controller also a comparison with other tuned different controllers is done. Transient response analysis is used to validating the proposed controller performance. The simulation results showed a stable response and efficint performance for the proposed controller when compared with the two conventional controllers used by 41.6% for PID controller and by 32% for PI controller in rise time while in settling time is superior by 36.97% for PID controller and by 41.82% for PI controlle these values led for achieving the desired speed in fast and stable response.

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Dubonjić, Ljubiša, Saša Prodanović, Vladimir Stojanović i Morato Menezes. "PD controller design for a system of a valve controlled hydromotor". Engineering Today, nr 00 (2023): 14. http://dx.doi.org/10.5937/engtoday2300012d.

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PD controller design methodology based on D-decomposition is considered in this paper. The method consists in tuning two parameters of a controller: proportional (P) and differential (D). The method was applied to a hydromotor controlled by a valve according to the position of the valve's piston. The results obtained in this paper show the good performance of the automatic control system in comparison with other methods of controller design and other controllers designed with the same method on the valve controlled hydromotor system.

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Gao, Bingwei, Wei Zhang, Lintao Zheng i Hongjian Zhao. "Research on High-Precision Position Control of Valve-Controlled Cylinders Based on Variable Structure Control". Machines 11, nr 6 (4.06.2023): 623. http://dx.doi.org/10.3390/machines11060623.

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During the operation of valve-controlled cylinder position systems, there are some problems, such as uncertainty and time-varying of the system parameters, imprecise modeling, and external interference. These problems will affect the position loading accuracy and safety reliability of the electro-hydraulic position servo system. This paper used the position servo system of a valve-controlled cylinder as the research object, and a mathematical model was established. Then, a sliding mode variable structure controller and dynamic soft variable structure controller were designed, and the Grey Wolf algorithm was used to adjust the controller parameters. The control effect of the two controllers in the valve-controlled cylinder system was verified with a simulation and experiment. The results showed that compared with the sliding mode variable structure controller, the dynamic soft variable structure controller had higher control precision and better stability and avoided the chattering phenomenon.

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Wong, Kah Kit, Choon Lih Hoo i Mohd Hardie Hidayat Mohyi. "Anti-windup PI controller, SIPIC For Motor Position Control". MATEC Web of Conferences 152 (2018): 02022. http://dx.doi.org/10.1051/matecconf/201815202022.

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Control system plays a major role in the industry nowadays as it simplifies workload and reduce manpower. Among all the controlled applicable field, control system is heavily used in motor speed and motor position controls. Although there are various types of controllers available in the market, PID controller remains as one of the most used controller due to its simplicity. Unfortunately, PID controller experiences windup phenomenon which affects the controller’s performance. This paper proposes a new type of anti-windup PI controller, SIPIC for motor position control application and aims to validate the performance of this controller as compared to conventional PI controller. To test the ability of the controllers, both controllers were experimented using hardware testing. The settings conditions of with and without loadings were used under two different inputs of 0° to 90° and 270° to 90°. The results obtained show that under without loadings, both controller showed favourable performances. Though, SIPIC controller slightly outperforms PI controller by having lower overshoot and shorter settling time for a wider range of gains. The rise time of both controllers are similar as it is the lowest possible rise time due to hardware limitations. Experiment results with loading condition, for both inputs and when Kp is 1 and Ki is 15, PI controller shows unstable performance by having large amount of oscillations and overshoots. The settling time was unable to be determined as the controller did not settle within the given step time. On the other hand, at the same gain, SIPIC controller still shows acceptable performance. This shows that SIPIC controller is more favourable by having better stable performance for a wider range of gains while PI controller needs to be finely tuned to a specific gain to obtain desired results..

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Yamé, Joseph J., i Michel Kinnaert. "On Bumps and Reduction of Switching Transients in Multicontroller Systems". Mathematical Problems in Engineering 2007 (2007): 1–17. http://dx.doi.org/10.1155/2007/54212.

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This paper is concerned with the realization and implementation of multicontroller systems, consisting of several linear controllers, subject to the bump phenomenon which occurs when switching between one controller acting in closed loop and another controller in the set of “offline” controllers waiting to take over the control loop. Based on a deep characterization of the bump phenomenon, the paper gives a novel and simple parameterization of such set of linear controllers, possibly having different state dimensions, to cope with bumps and their undesirable transients in switched-mode systems. The proposed technique is based on a non minimal state-space representation allowing a common memory and a unique dynamics shared by all controllers in that set. It also makes each initially open-loop unstable controller run in a stable way regardless of whether that controller is connected to the controlled process.

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Aidoud, Mohammed, Moussa Sedraoui, Abderrazek Lachouri i Abdelhalim Boualleg. "A robustification of the two degree-of-freedom controller based upon multivariable generalized predictive control law and robust H∞ control for a doubly-fed induction generator". Transactions of the Institute of Measurement and Control 40, nr 3 (1.11.2016): 1005–17. http://dx.doi.org/10.1177/0142331216673425.

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A robustification method of primary two degree-of-freedom (2-DOF) controllers is proposed in this paper to control the wind turbine system equipped with a doubly-fed induction generator DFIG. The proposed robustification method should follow the following three step-procedures. First, the primary 2-DOF controller is designed through the initial form of the multivariable generalized predictive control MGPC law to ensure a good tracking dynamic of reference trajectories. Second, the robust [Formula: see text] controller is independently designed for the previous system to ensure good robustness properties of the closed-loop system against model uncertainties, neglecting dynamics and sensor noises. Finally, both above mentioned controllers are combined to design the robustified 2-DOF-MGPC controller using Youla parameterization method. Therefore, the obtained controller conserves the same good tracking dynamic that is provided by the primary 2-DOF-MGPC controller. It ensures the same good robustness properties which are produced by the robust [Formula: see text] controller. A wind turbine system equipped with a DFIG is controlled by the robustified 2-DOF-MGPC controller. Its dynamic behaviour is modelled by an unstructured-output multiplicative uncertainty plant. The controller performances are valid by comparison with those given through both controllers, which are primary 2-DOF-MGPC and robust [Formula: see text] controllers in time and frequency domains.

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Huang, You Rui, i Hai Bo Hu. "Design of Fractional Order PID Controller Based on Artificial Immune Algorithm". Advanced Materials Research 268-270 (lipiec 2011): 1061–66. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1061.

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PID control scheme has been widely used in most of control system. The method of design PID controller is mature gradually. Due to the controlled object is nonlinear and time-varying, so the integer PID controller can not achieve the desired effect. After study people found that the application of fractional order PID controllers can solve the problem of time-varying and nonlinear very well and the controller has high control precision. Currently, the method of design fractional order PID controllers is little. This article describes an artificial immune algorithm and using MATLAB for simulation, the simulation results demonstrate that the artificial immune algorithm has little error and high optimization speed than traditional optimization algorithm, and the fractional order PID controller has a better control effect than traditional integer PID controller.

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Amertet, Sairoel, Girma Gebresenbet i Hassan Mohammed Alwan. "Modeling of Unmanned Aerial Vehicles for Smart Agriculture Systems Using Hybrid Fuzzy PID Controllers". Applied Sciences 14, nr 8 (19.04.2024): 3458. http://dx.doi.org/10.3390/app14083458.

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Unmanned aerial vehicles have a wide range of uses in the military field, non-combat situations, and civil works. Due to their ease of operation, unmanned aerial vehicles (UAVs) are highly sought after by farmers and are considered the best agricultural technologies, since different types of controller algorithms are being integrated into drone systems, making drones the most affordable option for smart agriculture sectors. PID controllers are among the controllers frequently incorporated into drone systems. Although PID controllers are frequently used in drones, they have some limitations, such as sensitivity to noise and measurement errors, which can lead to instability or oscillations in the system. On the other hand, PID controllers provide improved accuracy in drone system responses. When using PID controllers to achieve the best performance in a drone system, it is better to share the advantages of PID controllers with other intelligence controllers. One promising option is the fuzzy PID controller. The aim of this study was to control quadcopter states (rolling, altitude, and airspeed) by leveraging quadcopter technology and adding hybrid fuzzy PID controls into the system. The quadcopter system and its controllers were mathematically modeled using the Simulink/MATLAB platform, and the system was controlled by fuzzy PID controllers. For validation purposes, the fuzzy PID controller was compared with a classically tuned PID controller. For roll, height, and airspeed, the fuzzy PID controller provided an improvement of 41.5%, 11%, and 44%, respectively, over the classically tuned PID controller. Therefore, the fuzzy PID controller best suits the needs of farmers and is compatible with smart agriculture systems.

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Ebrahimi, M., i S. A. Jazayeri. "Design of Digital Controllers for Permanent Magnet Torque Motors". Advanced Materials Research 463-464 (luty 2012): 1219–23. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1219.

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The design of control system can be divided into two steps. The plant has to be converting into mathematical model form, so that its behavior can be analyzed. Then an appropriate controller has to be design in order to get the desired response of the controlled system. In this paper, the linear model of a Permanent magnet torque motor (PMTM) is considered and three controllers, digital PID controller with two forms of positional and velocity, a deadbeat controller and pole placement controller method are designed and due to a comparing between their, the best controller for this kind of plants will be chosen.

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Adnan, Aliaa, Ekhlas H. Karam i Muaayed F. Al-Rawi. "Model based adaptive controller with grasshopper optimization algorithm for upper-limb rehabilitation robot". Indonesian Journal of Electrical Engineering and Computer Science 26, nr 2 (1.05.2022): 723. http://dx.doi.org/10.11591/ijeecs.v26.i2.pp723-731.

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<span>Model based adaptive controllers (MBACs) are considered one of the most common adaptive controllers that are used with robotic systems due to their ensuring nonlinear robust scheme with global asymptotic stability for controlling nonlinear systems. However, this controller requires precise mathematical models of the controlled systems. In this paper, an optimal model-based adaptive controller (OMBAC) is suggested for controlling a two-link upper limb rehabilitation robot. This controller, in the presence of model uncertainties, can guarantee the robustness of the rehabilitation robot. Although the OMBAC is an adaptive and model-based controller, some of its parameters need to be determined precisely. In this paper, these parameters are determined by the grasshopper optimization algorithm (GOA). The Lyapunov method is used to analyze the stability assurance of controlled rehabilitation. The results of the simulation for two tested trajectories (linear and nonlinear trajectories) demonstrate the efficiency of the suggested OMBAC with fast settling time, minimum error steady state, and very small overshoot.</span>

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Karam, Ekhlas H., Ayam M. Abbass i Noor S. Abdul-Jaleel. "Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System". Al-Khwarizmi Engineering Journal 14, nr 1 (8.04.2018): 145–55. http://dx.doi.org/10.22153/https://doi.org/10.22153/kej.2018.08.007.

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In this paper, the human robotic leg which can be represented mathematically by single input-single output (SISO) nonlinear differential model with one degree of freedom, is analyzed and then a simple hybrid neural fuzzy controller is designed to improve the performance of this human robotic leg model. This controller consists from SISO fuzzy proportional derivative (FPD) controller with nine rules summing with single node neural integral derivative (NID) controller with nonlinear function. The Matlab simulation results for nonlinear robotic leg model with the suggested controller showed that the efficiency of this controller when compared with the results of the leg model that is controlled by PI+2D, PD+NID, and FPD-ID controllers.

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Karam, Ekhlas H., Ayam M. Abbass i Noor S. Abdul-Jaleel. "Design of Hybrid Neural Fuzzy Controller for Human Robotic Leg System". Al-Khwarizmi Engineering Journal 14, nr 1 (8.04.2018): 145–55. http://dx.doi.org/10.22153/kej.2018.08.007.

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In this paper, the human robotic leg which can be represented mathematically by single input-single output (SISO) nonlinear differential model with one degree of freedom, is analyzed and then a simple hybrid neural fuzzy controller is designed to improve the performance of this human robotic leg model. This controller consists from SISO fuzzy proportional derivative (FPD) controller with nine rules summing with single node neural integral derivative (NID) controller with nonlinear function. The Matlab simulation results for nonlinear robotic leg model with the suggested controller showed that the efficiency of this controller when compared with the results of the leg model that is controlled by PI+2D, PD+NID, and FPD-ID controllers.

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Ab Rahman, Nur Naajihah, Nafrizuan Mat Yahya i Nurul Umiza Mohd Sabari. "Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control". IAES International Journal of Robotics and Automation (IJRA) 12, nr 1 (1.03.2023): 98. http://dx.doi.org/10.11591/ijra.v12i1.pp98-107.

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Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzzy Simulink toolbox. Real hardware was attached to the simulation to evaluate the DC motor speed control using the fuzzy logic PID controller. DC motors with FLC PID controllers, FLC controllers, and DC motors alone will be compared for the transient response. The DC motor with an FLC PID controller performed better in this study.

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MUBDIR, Bilal A. "EFFECT OF MOVING AVERAGE FILTER WITH PID CONTROLLER USING HIL TECHNIQUE". MINAR International Journal of Applied Sciences and Technology 03, nr 03 (1.09.2021): 111–23. http://dx.doi.org/10.47832/2717-8234.3-3.14.

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Designing fast response controller that can achieving steady state with minimum error is big challenge in control application. Proportional Integral Derivate (PID) controllers are conventional controllers for their simplicity and wide range of applications in industrial. Many efforts have been made in improving the PID controller performance by enhancing the controller with different techniques for tuning its operation or filtering the feedback signal. In this paper, the effect of using Moving Average filter with the PID controller for controlling the speed of Permanent Magnet DC (PMDC) Motor with noisy speed sensor is discussed. PID controller and the moving average filter are modeled in MATLAB/Simulink software, where the Hardware in the Loop (HIL) technique with aid of microcontroller was used for the controlled plant which is a PMDC motor in this study. Comprehensive study on the available techniques used to modeling the PID controller is done as well. Furthermore, full practical tests prove that the controller behavior is more stable when moving average filter used and its effect minimized time needed to reach the steady state point clearly by 76%.

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Fan, Li, Lei Wei i Xin Jian Zhao. "A Hierarchical Control Strategy of Multi-Microgrids". Applied Mechanics and Materials 738-739 (marzec 2015): 955–61. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.955.

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This paper gives a hierarchical control strategy of multi-microgrids. The hierarchical control structure is made up with microgrid center controller (MGCC), microgrid controller (MC), generator controller (GC), load controller (LC). Controllers recognize the current operation mode of microgrids according to state trigger event and local operation state, realize transition of operation state. Controller is controlled by the upper controller, but once the communication among controllers is interrupted, MC can operate normally according to its local operation state. Thus, the MCs have a certain independence. The simulation platform is built-up by Netlogo for simulation of controller logic and communication coordination mechanism, OpenDSS for modeling distribution network and multi-microgrids, and matlab for data transmission and control optimization. With the simulation platform, this paper analyzed the characteristics of power regulation and different state transitions of multi-microgrids. Through verification, the strategy is available to realize operation state transition of multi-microgrids, guarantee stability of multi-microgrids under every operation state. Besides, compared with centralized control, it has better control effect and it has faster response.

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Bounouara, Nadia, Mouna Ghanai, Ali Medjghou i Kheireddine Chafaa. "Stable and robust control strategy using interval-valued fuzzy systems". International Journal of Applied Power Engineering (IJAPE) 9, nr 3 (1.12.2020): 205. http://dx.doi.org/10.11591/ijape.v9.i3.pp205-217.

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<div data-canvas-width="397.26083450917173">In this paper we propose an adaptive interval valued fuzzy controller for high performance direct vector-controlled induction motor drive. Interval valued controller compared with type-1 fuzzy controller has the advantage that it</div><div data-canvas-width="139.47254585768997">can take into account the linguistic uncertainties present in the rules of the estimated models. The proposed control framework consists of a mixture of two controllers: an interval valued fuzzy controller and a supervisory controller. The supervisory controller is used when the system starts to become unstable. The free parameters for the proposed controller are changed according to some learning rules based on Lyapunov stability. Simulation results on an induction motor show the effectiveness of the introduced method.</div>

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Jaleel Humaidi, Amjad, Sami Hasan i Ammar Abdulhussein Al-Jodah. "Design of Second Order Sliding Mode for Glucose Regulation Systems with Disturbance". International Journal of Engineering & Technology 7, nr 2.28 (16.05.2018): 243. http://dx.doi.org/10.14419/ijet.v7i2.28.12936.

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In this work, Design of second order sliding mode control has been developed to control the diabetic glucose concentration level under disturbing meal has been controlled using three sliding mode controllers. A comparative study of three sliding mode controllers is made in terms of robustness characteristics due to meal feeding. The first is the classical sliding mode controller, the second is integral sliding mode controller and the third is the second order sliding mode controller. Due to their characteristic features of disturbance rejection, all the three sliding mode controllers are presented here for comparison. The Bergman minimal mathematical model is used to describe the dynamic behavior of blood glucose concentration due to insulin regulator injection. Simulations, based on MATLAB/Simulink, were performed to verify the performance of each controller. It has been shown that integral and second order sliding mode controllers are the best of all in terms of disturbance rejection capability.

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Atia, Khaled R. "A new variable structure controller for robot manipulators with a nonlinear PID sliding surface". Robotica 31, nr 4 (31.08.2012): 503–10. http://dx.doi.org/10.1017/s0263574712000513.

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SUMMARYIn this paper a new sliding mode controller for set-point control of robot manipulators is proposed. The controller does not use any part of the robot dynamics in the control law. Thus, it is structurally simpler than other sliding mode controllers where the control law uses a nominal model of the robot dynamics. The controller uses a new nonlinear Proportional-Integral-Derivative (PID) sliding surface. The stability of the controlled robot dynamics is proved. On applying the boundary-layer approach to remove chattering, a nonlinear PID controller exists inside the boundary layer. This PID controller ensures that the error tend to zero asymptotically if there is no disturbances applied to the robot dynamics.

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Srinivas, R. S., i P. V. Ramana Rao. "Enhancement of Power System Transient Stability By Fractional Order Controlled STATCOM Tuned By PSO". International Journal of Engineering & Technology 7, nr 4.24 (27.11.2018): 163. http://dx.doi.org/10.14419/ijet.v7i4.24.21879.

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This paper discusses the application of Fractional order PI controlled Static synchronous compensator for improvement rotor angle stability of inter connected power system. FACTS Controllers plays important role in enhancing the power system stability.Besides improving the stability margin of the power system it also aids the damping of inter area power oscillations. In the present work STATCOM is connected in multimachine power system .The dynamic response of the STATCOM is controlled by using fractional order controllers.The controller gains of the fractional controller are tuned by using PSO algorithm.It gives acceptable solutions to continuous non-linear systems with less computational effort. The performance of the proposed controller has been compared with integer order PI controllers at different locations of fault. In this paper a 3 machine 9 bus WSSC test power system is considered and simulated in MATLAB/SIMULINK.

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Awtoniuk, Michał, Łukasz Ślizak i Marcin Daniun. "AUTOTUNING OF PID CONTROLLER BY MEANS OF HUMAN MACHINE INTERFACE DEVICE". Journal of Technology and Exploitation in Mechanical Engineering 2, nr 1 (26.12.2016): 26–31. http://dx.doi.org/10.35784/jteme.513.

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More and more control systems are based on industry microprocessors like PLC controllers (Programmable Logic Controller). The most commonly used control algorithm is PID (Proportional-Integral-Derivative) algorithm. Autotuning procedure is not available in every PLC. These controllers are typically used in cooperation with HMI (Human Machine Interface) devices. In the study two procedures of autotuning of the PID controller were implemented in the HMI device: step method and relay method. Six tuning rules for step methods and one for relay method were chosen. The autotuning procedures on simulated controlled object and PLC controller without build-in autotuning were tested. The object of control was first order system plus time delay.

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Dhanabalan, Gnanasekaran, Sankar Tamil Selvi i Miroslav Mahdal. "Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA". Sensors 22, nr 12 (17.06.2022): 4584. http://dx.doi.org/10.3390/s22124584.

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A programmable logic controller (PLC) executes a ladder diagram (LD) using input and output modules. An LD also has PID controller function blocks. It contains as many PID function blocks as the number of process parameters to be controlled. Adding more process parameters slows down PLC scan time. Process parameters are measured as analog signals. The analog input module in the PLC converts these analog signals into digital signals and forwards them to the PID controller as inputs. In this research work, a field-programmable gate array (FPGA)-based multiple PID controller is proposed to retain PLC scan time at a lower value. Concurrent execution of multiple PID controllers was assured by assigning separate FPGA hardware resources for every PID controller. Digital input to the PID controller is routed by the novel idea of analog to digital conversion (ADC), performed using a digital to analog converter (DAC), comparator, and FPGA. ADC combined with dedicated PID controller logic in an FPGA for every closed-loop control system confirms concurrent execution of multiple PID controllers. The time required to execute two closed-loop controls was identified as 18.96000004 ms. This design can be used either with or without a PLC.

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Nakayama, Ryoichi, Hitoshi Iida, Hisashi Hozumi, Satoshi Okada, Hideharu Okano i Tatsuo Miyazawa. "Distributed Control System for Six-Legged Walking Robot". Journal of Robotics and Mechatronics 5, nr 6 (20.12.1993): 570–74. http://dx.doi.org/10.20965/jrm.1993.p0570.

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In this paper, describe a walking robot system which has been developed based on the assumption that it will be used to perform visual inspections. The robot is designed to be static walking and cableless. The six legs are disposed symmetrically around the center of the robot's body, and each modular leg comprises a number of links. The distributed control concept is adopted for the control system, which consists of a main controllers a sub-controller, and local controllers. The local controllers and driver circuits for the DC servo motors are mounted on the individual leg modules, and special-purpose small lightweight units have been developed. The robot is automatically controlled by a sub-controller which receives walk commands from the remote unit's main controller.

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Baz, Rachida, Khalid El Majdoub, Fouad Giri i Ossama Ammari. "Modeling and adaptive neuro-fuzzy inference system control of quarter electric vehicle". Indonesian Journal of Electrical Engineering and Computer Science 34, nr 2 (1.05.2024): 745. http://dx.doi.org/10.11591/ijeecs.v34.i2.pp745-755.

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Electric vehicles (EVs) have gained importance in recent years, prompting the development of several control systems to improve their efficiency and performance. In this work, a quarter electric vehicle (QEV) was controlled using a conventional proportional integral derivative (PID) and fuzzy controller to examine and compare with the response of the adaptive neuro-fuzzy inference system (ANFIS) controller. The response of the ANFIS controller was evaluated using MATLAB/Simulink according to different parameters and compared with those of other controllers. In addition, the simulation was based on different driving conditions such as the acceleration and deceleration modes and the type of road: wet and dry. The simulations were carried out on a longitudinal electric vehicle model based on a brushless DC motor, including the Pacejka tire model. The results showed that the ANFIS controller outperformed the PID and fuzzy logic controllers, providing superior dynamic responsiveness and stability when the ANFIS controller smoothly followed the input speed and the longitudinal slip value reached 3%.

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Tabak, Abdulsamed. "A novel fractional order PID plus derivative (PIλDµDµ2) controller for AVR system using equilibrium optimizer". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 40, nr 3 (13.07.2021): 722–43. http://dx.doi.org/10.1108/compel-02-2021-0044.

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Purpose The purpose of this paper is to improve transient response and dynamic performance of automatic voltage regulator (AVR). Design/methodology/approach This paper proposes a novel fractional order proportional–integral–derivative plus derivative (PIλDµDµ2) controller called FOPIDD for AVR system. The FOPIDD controller has seven optimization parameters and the equilibrium optimizer algorithm is used for tuning of controller parameters. The utilized objective function is widely preferred in AVR systems and consists of transient response characteristics. Findings In this study, results of AVR system controlled by FOPIDD is compared with results of proportional–integral–derivative (PID), proportional–integral–derivative acceleration, PID plus second order derivative and fractional order PID controllers. FOPIDD outperforms compared controllers in terms of transient response criteria such as settling time, rise time and overshoot. Then, the frequency domain analysis is performed for the AVR system with FOPIDD controller, and the results are found satisfactory. In addition, robustness test is realized for evaluating performance of FOPIDD controller in perturbed system parameters. In robustness test, FOPIDD controller shows superior control performance. Originality/value The FOPIDD controller is introduced for the first time to improve the control performance of the AVR system. The proposed FOPIDD controller has shown superior performance on AVR systems because of having seven optimization parameters and being fractional order based.

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Attiya, Adnan Jabbar, Yang Wenyu i Salam Waley Shneen. "Compared with PI, Fuzzy-PI and PSO-PI Controllers of Robotic Grinding Force Servo System". TELKOMNIKA Indonesian Journal of Electrical Engineering 16, nr 1 (1.10.2015): 65. http://dx.doi.org/10.11591/tijee.v16i1.1589.

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<p>By grinding process, when an industrial robot is used to finish a curved surface, both feed movement and contact force must controlled at the similar time in order that the grinding tool would machine the work-piece at the right position in right posture with required force. A passive wrist system is advanced, in this paper, to conform the shape of the machining propeller by altering its posture along with the surface. The proportional-integral (PI) controller, due to its simplicity, robustness, and affordable price, is extremely often used in practical applications, but it is effective for linear systems, as well as, the challenging task is to find its optimal gains. If the processes involved higher order and time delay systems, many intelligent controllers were appeared. In this paper, to cope with nonlinearities, improve the controller parameters and at the same time modeling uncertainties of grinding marine propeller surface, a PI torque controller is proposed such that its optimal gains are derived via a modern systems based on fuzzy logic theory and particle swarm optimization algorithm which are used to solve various engineering problems. Grinding force is controlled under Fuzzy-PI controller which is being assembled and compared with a PSO-PI controller to obtain which controller that provides grinding with higher quality. The compared controllers have been optimized together with the parameters of the Two-Phase Hybrid Stepping Motor. The suggested fuzzy rule function and PSO algorithm improve the response of the controlled system and searches a high-quality solution impressively. Simulation and comparison results are presented and that the proposed control systems are coping well with nonlinearities and uncertainties while find PI control parameter set effectively, the PSO-PI controller has a better control performance with improved step response for robotic grinding force servo system. These control methods was simulated using MATLAB/SIMULINK.</p>

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Almatani, Nawaf O., Abdullah Ali Alhussainy, Sultan Alghamdi, Hossam Kotb, Kareem M. AboRas, Mahendiran Vellingiri i Muhyaddin Rawa. "Assessment of a High-Order Stationary Frame Controller for Two-Level and Three-Level NPC Grid-Connected Inverters". Energies 15, nr 24 (8.12.2022): 9313. http://dx.doi.org/10.3390/en15249313.

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Most grid-connected DC/AC inverters use traditional proportional–integral (PI) controllers in a synchronous frame. In addition to poor disturbance rejection capabilities, these PI controllers also exhibit steady-state errors for sinusoidal reference signals. To address these drawbacks, this article investigates the use of a high-order controller in the stationary frame and then compares it with the standard PI controller. The effectiveness of the high-order controller in the stationary frame has been examined by providing an infinite gain at a resonance frequency. In this work, the design of high-order and PI controllers and tuning instructions are given. Furthermore, both high-order and PI current-controlled two-level and three-level neutral point clamped (NPC) inverters are compared. Various operational conditions are used for the comparison. The high-order controller reduced the total harmonic distortion (THD) of the injected current by 1.15% for the two-level inverter in normal conditions as compared to the PI controller and 0.9% for the three-level NPC inverters. Furthermore, it reduced the THD in balanced abnormal conditions by 0.5% for the two-level inverter and 0.18% for the three-level NPC inverters. However, the dq controller has a lower THD during unbalance and short circuit conditions.

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Struys, Michel M. R. F., Tom De Smet, Scott Greenwald, Anthony R. Absalom, Servaas Bingé i Eric P. Mortier. "Performance Evaluation of Two Published Closed-loop Control Systems Using Bispectral Index Monitoring". Anesthesiology 100, nr 3 (1.03.2004): 640–47. http://dx.doi.org/10.1097/00000542-200403000-00026.

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Background Although automated closed-loop control systems may improve quality of care, their safety must be proved under extreme control conditions. This study describes a simulation methodology to test automated controllers and its application in a comparison of two published controllers for Bispectral Index (BIS)-guided propofol administration. Methods A patient simulator was developed to compare controllers. Using input scripts to dictate patient characteristics, target BIS values, and the time course of surgical events, the simulator continuously monitors the infusion pump under control and generates BIS values as a composite of modeled response to drug, perceived stimulation, and random noise. The simulator formats the output stream of BIS data as input to the controller under test to emulate the serial output of the actual BIS monitor. A published model-based controller and a classic proportional integral derivative controller were compared when using the BIS value as a controlled variable. Each controller was tested using a set of 10 virtual patients undergoing a fixed surgical profile that was repeated with BIS targets set at 30, 50, and 70. Controller performance was assessed using median (absolute) prediction error, divergence, wobble, and percentage time within BIS target range metrics. Results The median prediction error was significantly smaller for the proportional integral derivative controller than for the model-based controller. The median absolute prediction error was smaller for the model-based controller than for the proportional integral derivative controller for each BIS target, reaching statistical significance for targets 30 and 50. Conclusions When simulating closed-loop control of BIS using propofol, the use of a patient-individualized, model-based adaptive closed-loop system with effect site control resulted in better control of BIS compared with a standard proportional integral derivative controller with plasma site control. Even under extreme conditions, the modeled-based controller exhibited no behavioral problems.

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Kapoulea, Stavroula, Vassilios Bizonis, Panagiotis Bertsias, Costas Psychalinos, Ahmed Elwakil i Ivo Petráš. "Reduced Active Components Count Electronically Adjustable Fractional-Order Controllers: Two Design Examples". Electronics 9, nr 1 (1.01.2020): 63. http://dx.doi.org/10.3390/electronics9010063.

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This paper deals with fractional-order controller implementations, which can be constructed by electronically controlled building blocks fully integrated on a single chip. The proposed DC motor controller structure offers 50% reduction of the active components count, compared to the corresponding already published counterpart. The proposed liquid level of the two-interacting-tank controller scheme is the first one in the literature offering the aforementioned features. Simulation results, based on the 0.35 μ m Austria Mikro Systeme technology process, confirm the correct operation of both proposed controllers.

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Ziółkowskia, E., i P. Śmierciak. "Comparison of Energy Consumption in the Classical (PID) and Fuzzy Control of Foundry Resistance Furnace". Archives of Foundry Engineering 12, nr 3 (1.09.2012): 129–32. http://dx.doi.org/10.2478/v10266-012-0095-9.

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Abstract Foundry resistance furnaces are thermal devices with a relatively large time delay in their response to a change in power parameters. Commonly used in automation classical PID controllers do not meet the requirements of high-quality control. Developed in recent years, fuzzy control theory is increasingly being used in various branches of economy and industry. Fuzzy controllers allow to introduce new developments in control systems of foundry furnaces as well. Correctly selected fuzzy controller can significantly reduce energy consumption in a controlled thermal process of heating equipment. The article presents a comparison of energy consumption by control system of foundry resistance furnace, equipped with either a PID controller or fuzzy controller optimally chosen.

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Jiang, Yiming, Chenguang Yang, Min Wang, Ning Wang i Xiaofeng Liu. "Bioinspired control design using cerebellar model articulation controller network for omnidirectional mobile robots". Advances in Mechanical Engineering 10, nr 8 (sierpień 2018): 168781401879434. http://dx.doi.org/10.1177/1687814018794349.

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As a learning mechanism that emulates the structure of the cerebellum, cerebellar model articulation controllers have been widely adopted in the control of robotic systems because of the fast learning ability and simple computational structure. In this article, a cerebellar model articulation controller–based neural network controller is developed for an omnidirectional mobile robot. With the powerful learning ability of cerebellar model articulation controller, a cerebellar model articulation controller neural network is constructed to learn the complex dynamics of the omnidirectional mobile robot such that the robot is controlled without a priori knowledge of the robot dynamics. In addition, to overcome the limitation of the neural network controller, a global control technique with a group of smooth switching functions is designed such that the global ultimately uniformly boundedness of cerebellar model articulation controller is achieved instead of conventional semi-global ultimately uniformly boundedness. Moreover, smooth decreasing boundary functions are synthesized into the controller to guarantee the transient control performance. Based on an omnidirectional mobile robot, numerical experiments have been conducted to demonstrate the effectiveness of the proposed cerebellar model articulation controller controller.

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Joshi, Girisha, i Pinto Pius A J. "ANFIS controller for vector control of three phase induction motor". Indonesian Journal of Electrical Engineering and Computer Science 19, nr 3 (1.09.2020): 1177. http://dx.doi.org/10.11591/ijeecs.v19.i3.pp1177-1185.

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For variable speed drive applications such as electric vehicles, 3 phase induction motor is used and is controlled by fuzzy logic controllers. For the steady functioning of the vehicle drive, it is essential to generate required torque and speed during starting, coasting, free running, braking and reverse operating regions. The drive performance under these transient conditions are studied and presented. In the present paper, vector control technique is implemented using three fuzzy logic controllers. Separate Fuzzy logic controllers are used to control the direct axis current, quadrature axis current and speed of the motor. In this paper performance of the indirect vector controller containing artificial neural network based fuzzy logic (ANFIS) based control system is studied and compared with regular fuzzy logic system, which is developed without using artificial neural network. Data required to model the artificial neural network based fuzzy inference system is obtained from the PI controlled induction motor system. Results obtained in MATLAB-SIMULINK simulation shows that the ANFIS controller is superior compared to controller which is implemented only using fuzzy logic, under all dynamic conditions.

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Tin, C. C. "A Microcomputer-Controlled Temperature Controller". Instrumentation Science & Technology 14, nr 1 (styczeń 1985): 63–75. http://dx.doi.org/10.1080/10739148508543567.

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Amer, Noor Hafizah, Rahizar Ramli, Wan Nor Liza Wan Mahadi, Mohd Azman Zainul Abidin i Zainab Rasol. "Implementations of PID Controller and its Transient Behaviour in Active Suspension System". Advanced Materials Research 895 (luty 2014): 490–99. http://dx.doi.org/10.4028/www.scientific.net/amr.895.490.

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Advancement in computational technologies has accelerated the research effort in exploring the possibility of semi-active and active suspension. Computational simulations were used widely in the studies of the controller strategies. Among them are PID controllers. Studies from previous work suggested that PID controllers are capable of improving ride comfort and road holding capability. However, very little emphasis is given to examine the whole state of the vehicle suspension system resulted from this implementation. Therefore this study will examine the application of a basic PID controller to an active suspension system (ASS) to determine the requirement of active force that should be delivered in stabilizing the whole system. Two different configurations of electromagnetic suspension system (EMS) will be considered. One variable in the vehicle system will be selected to be the controlled output of PID controller and its effect to overall vehicle state will be observed. In the cases that the PID was able to stabilize the body responses, deterioration was noticed in the wheel responses. While it stabilizes the controlled output, the active force from controller was channelled into deteriorating other vehicle parameters.

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Puchalski, Bartosz, Kazimierz Duzinkiewicz i Tomasz Rutkowski. "Multi-region fuzzy logic controller with local PID controllers for U-tube steam generator in nuclear power plant". Archives of Control Sciences 25, nr 4 (1.12.2015): 429–44. http://dx.doi.org/10.1515/acsc-2015-0028.

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Abstract In the paper, analysis of multi-region fuzzy logic controller with local PID controllers for steam generator of pressurized water reactor (PWR) working in wide range of thermal power changes is presented. The U-tube steam generator has a nonlinear dynamics depending on thermal power transferred from coolant of the primary loop of the PWR plant. Control of water level in the steam generator conducted by a traditional PID controller which is designed for nominal power level of the nuclear reactor operates insufficiently well in wide range of operational conditions, especially at the low thermal power level. Thus the steam generator is often controlled manually by operators. Incorrect water level in the steam generator may lead to accidental shutdown of the nuclear reactor and consequently financial losses. In the paper a comparison of proposed multi region fuzzy logic controller and traditional PID controllers designed only for nominal condition is presented. The gains of the local PID controllers have been derived by solving appropriate optimization tasks with the cost function in a form of integrated squared error (ISE) criterion. In both cases, a model of steam generator which is readily available in literature was used for control algorithms synthesis purposes. The proposed multi-region fuzzy logic controller and traditional PID controller were subjected to broad-based simulation tests in rapid prototyping software - Matlab/Simulink. These tests proved the advantage of multi-region fuzzy logic controller with local PID controllers over its traditional counterpart.

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Salma, S. K., i K. Radha Rani. "Transient Stability Enhancement Using Matrix Converter Based UPFC with Intelligent Controlling Techniques". Journal of Advance Research in Electrical & Electronics Engineering (ISSN: 2208-2395) 2, nr 8 (31.08.2015): 01–12. http://dx.doi.org/10.53555/nneee.v2i8.178.

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This paper presents a matrix converter based UPFC for enhancing the transient stability. Conventional methods use a two step based UPFC (DC-AC-DC). In the proposed model the conventional UPFC is replaced by a Matrix Converter which is controlled with two different controllers which include fuzzy logic controller and the other with an added integrator which is referred to be a HYBRID fuzzy logic controller. In this paper, the working of matrix converter based UPFC with the two controller techniques under certain disturbances is observed using the MATLAB software and the results are verified.

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Chou, Sidney. "Controller Tuning Based on Stochastic Control Theory". Journal of Dynamic Systems, Measurement, and Control 110, nr 1 (1.03.1988): 100–104. http://dx.doi.org/10.1115/1.3152638.

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A practical controller tuning method is proposed for selecting controller gains in the face of design difficulties such as poor repeatability, long delay, nonlinearity, conflicting control objectives, model inaccuracy, and system complexity. Unlike many adaptive schemes striving to acquire knowledge about the system being controlled, the proposed approach is aimed at designing nonadaptive, or at best, gain scheduling controllers in a quantitative, systematic way while meeting design specifications.

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Chandra Sahu, Prakash, i Ramesh Chandra Prusty. "Performance enhancement in AGC of multi-area power system with WOA optimized fo-2dof controller and facts controllers". International Journal of Engineering & Technology 7, nr 3.3 (8.06.2018): 562. http://dx.doi.org/10.14419/ijet.v7i2.33.14835.

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This research article aims to develop Load Frequency Control (LFC) of equal three area with individual area comprises single thermal sys-tem and wind system and appropriated 3% of Generation rate constraint (GRC) is considered for thermal system to make non-linearity to overall system. For automatic generation control (AGC) the proposed secondary controller is a two degree of freedom (DOF) based frac-tional order Proportional, Integral, Derivative (PID) controller and used to reduce error for this study. For optimizing the gains of this pro-posed controller in a suitable manner a newly deterministic algorithm called Whale Optimization algorithm (WOA) is applied. Comparative performance analysis of different controllers like FO-2DOF-PID, 2DOF-PID, and PID is done in respect of settling time and peak over-shoot. Apart from this to improve quality of different dynamic responses some FACTS devices like Interlined power flow controller(IPFC), Static synchronous series compensator (SSSC) and Thyristor controlled series capacitor (TCSC) are implemented with FO-2DOF-PID controller and for superiority analysis a comparison is made between above optimized controllers.

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Khan, Huma, Shahida Khatoon, Prerna Gaur, Mohamed Abbas, Chanduveetil Ahamed Saleel i Sher Afghan Khan. "Speed Control of Wheeled Mobile Robot by Nature-Inspired Social Spider Algorithm-Based PID Controller". Processes 11, nr 4 (13.04.2023): 1202. http://dx.doi.org/10.3390/pr11041202.

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Mobile robot is an automatic vehicle with wheels that can be moved automatically from one place to another. A motor is built in its wheels for mobility purposes, which is controlled using a controller. DC motor speed is controlled by the proportional integral derivative (PID) controller. Kinematic modeling is used in our work to understand the mechanical behavior of robots for designing the appropriate mobile robots. Right and left wheel velocity and direction are calculated by using the kinematic modeling, and the kinematic modeling is given to the PID controller to gain the output. Motor speed is controlled by the PID low-level controller for the robot mobility; the speed controlling is done using the constant values Kd, Kp, and Ki which depend on the past, future, and present errors. For better control performance, the integral gain, differential gain, and proportional gain are adjusted by the PID controller. Robot speed may vary by changing the direction of the vehicle, so to avoid this the Social Spider Optimization (SSO) algorithm is used in PID controllers. PID controller parameter tuning is hard by using separate algorithms, so the parameters are tuned by the SSO algorithm which is a novel nature-inspired algorithm. The main goal of this paper is to demonstrate the effectiveness of the proposed approach in achieving precise speed control of the robot, particularly in the presence of disturbances and uncertainties.

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Jia, De Li, Feng Shan Wang i De Kui Xu. "Study on PIDNN-Based Flow Control in Layered Water Injection Technology in Oilfield". Advanced Materials Research 291-294 (lipiec 2011): 2718–22. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2718.

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This paper takes the layered water injection technology in oil production engineering as research object. This technology is characterized by strong nonlinearity, strong interlayer interference, time variation and complex model. Focusing on these characteristics, this paper proposes a novel control strategy based on PID-NN algorithm to satisfy the requirements of layered water injection technology. Many performance indexes of the controller are optimized, including model establishment of nonlinear controlled object, multi-parameter decoupling, controller acceleration and precision improvement. The simulation and experiment show that compared with traditional controller based on PID and controller based on BP neural network, the optimized controller has stronger robustness, faster response and better flow control, so it has an advantage over traditional controllers of dealing with discrete events and multi-variable decoupling problems.

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