Journal articles: 'FPID'

1

Skelly, Allan, and Helen Owen. "FPID News." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 15, no. 1 (April 2017): 4–5. http://dx.doi.org/10.53841/bpsfpid.2017.15.1.4.

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Skelly, Allan, and Jason Crabtree. "FPID News." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 16, no. 2 (August 2018): 2–3. http://dx.doi.org/10.53841/bpsfpid.2018.16.2.2.

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Williams, Rhiannon, and Hayley Thomas. "FPID News." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 17, no. 3 (December 2019): 4–6. http://dx.doi.org/10.53841/bpsfpid.2019.17.3.4.

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Skelly, Allan. "FPID News." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 15, no. 3 (December 2017): 5–7. http://dx.doi.org/10.53841/bpsfpid.2017.15.3.5.

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Skelly, Allan. "FPID News." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 16, no. 3 (December 2018): 6–7. http://dx.doi.org/10.53841/bpsfpid.2018.16.3.6.

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Allan, Skelly, and McGeehan Caoimhe. "FPID News." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 16, no. 1 (April 2018): 5–7. http://dx.doi.org/10.53841/bpsfpid.2018.16.1.5.

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Skelly, Allan, and Coaimhe McGeehan. "FPID News." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 15, no. 2 (August 2017): 5–7. http://dx.doi.org/10.53841/bpsfpid.2017.15.2.5.

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Skelly, Allan, and Helen Owen. "FPID News Column." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 14, no. 3 (December 2016): 2–4. http://dx.doi.org/10.53841/bpsfpid.2016.14.3.2.

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Skelly, Allan, and Laura Phalp. "FPID News column." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 13, no. 1 (April 2015): 2–3. http://dx.doi.org/10.53841/bpsfpid.2015.13.1.2.

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Skelly, Allan. "FPID News column." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 12, no. 2 (August 2014): 2–4. http://dx.doi.org/10.53841/bpsfpid.2014.12.2.2.

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Skelly, Allan. "FPID News column." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 13, no. 2 (August 2015): 3–4. http://dx.doi.org/10.53841/bpsfpid.2015.13.2.3.

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Phalp, Laura, Katrina Scior, and Kate Theodore. "FPID News Column." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 14, no. 2 (August 2016): 3–4. http://dx.doi.org/10.53841/bpsfpid.2016.14.2.3.

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Skelly, Allan, and Laura Phalp. "FPID News column." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 12, no. 3 (December 2014): 2–5. http://dx.doi.org/10.53841/bpsfpid.2014.12.3.2.

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Skelly, Allan, and Laura Phalp. "FPID News Column." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 14, no. 1 (April 2016): 4–5. http://dx.doi.org/10.53841/bpsfpid.2016.14.1.4.

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15

Yu, Zaiqi, Ning Liu, Kexin Wang, Xianghan Sun, and Xianjun Sheng. "Design of Fuzzy PID Controller Based on Sparse Fuzzy Rule Base for CNC Machine Tools." Machines 11, no. 1 (January 9, 2023): 81. http://dx.doi.org/10.3390/machines11010081.

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The robustness of the control algorithm plays a crucial role in the precision manufacturing and measurement of the CNC machine tool. This paper proposes a fuzzy PID controller based on a sparse fuzzy rule base (S-FPID), which can effectively control the position of a nonlinear CNC machine tool servo system consisting of a rotating motor and ball screw. In order to deal with the influences of both the internal and external uncertainties in the servo system, fuzzy logic is used to adjust the proportion, and integral and differential parameters in real-time to improve the robustness of the system. In the fuzzy inference engine of FPID, a sparse fuzzy rule base is used instead of a full-order fuzzy rule base, which significantly improves the computational efficiency of FPID and saves a lot of RAM storage space. The sensitivity analysis of S-FPID verifies the self-tuning ability of its parameters. Furthermore, the proposed S-FPID has been compared with the PID and FPID via simulation and experiment. The results show that compared with the classical PID controller, the overshoot of the S-FPID controller is reduced by 74.29%, and the anti-interference ability is increased by 62.43%; compared with FPID algorithm, the efficiency of the SPID is improved by 87.25% on the premise of a slight loss in robustness.

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Candan, Fethi, Omer Faruk Dik, Tufan Kumbasar, Mahdi Mahfouf, and Lyudmila Mihaylova. "Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload." Algorithms 16, no. 6 (May 29, 2023): 273. http://dx.doi.org/10.3390/a16060273.

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This study presents the design and real-time applications of an Interval Type-2 Fuzzy PID (IT2-FPID) control system on an unmanned aerial vehicle (UAV) with a flexible cable-connected payload in comparison to the PID and Type-1 Fuzzy PID (T1-FPID) counterparts. The IT2-FPID control has significant stability, disturbance rejection, and response time advantages. To prove and show these advantages, the DJI Tello, a commercial UAV, is used with a flexible cable-connected payload to test the robustness of PID, T1-FPID, and IT2-FPID controllers. First, the optimal coefficients of the compared controllers are found using the Big Bang–Big Crunch algorithm via the nonlinear UAV model without the payload. Second, once optimised, the controllers are tested using several scenarios, including disturbing the payload and the coverage path planning area to examine their robustness. Third, the controller performance results are evaluated according to reference achievement and point-based tracking under disturbances. Finally, the superiority of the IT2-FPID controller is shown via simulations and real-time experiments with a better overshoot, a faster settling time, and good properties of disturbance rejection compared with the PID and the T1-FPID controllers.

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Ridwan, Ridwan, Era Purwanto, Hary Oktavianto, Muhammad Rizani Rusli, and Handri Toar. "DESAIN KONTROL KECEPATAN MOTOR INDUKSI TIGA FASA MENGGUNAKAN FUZZY PID BERBASIS IDIRECT FIELD ORIENTED CONTROL." JURNAL INTEGRASI 11, no. 2 (October 17, 2019): 146–55. http://dx.doi.org/10.30871/ji.v11i2.1356.

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Motor induksi tiga fasa (MITF) umumnya digunakan di berbagai aplikasi di industri karena keandalannya, biaya rendah, kontruksi kokoh, perawatan rendah, dan effisiensi yang tinggi. Namun untuk mengontrol MITF tidak semudah seperti mengontrol motor DC, karena MITF merupakan motor yang tidak linear. Penggunaan metode indirect field oriented control (IFOC) dengan kontroler fuzzy proportional integrator and derivative (FPID) dipilih untuk dapat mengatur kecepatan MITF. Metode IFOC akan membuat MITF dapat dikontrol seperti motor DC penguat terpisah. Kontroler FPID yang di desain dengan mengganti kontroler PID konvensional. Performa kontroler FPID yang di desain dibandingkan dengan kontroler PID konvensional. Performa respon yang dibandingkan seperti rise time, settling time, overshoot, steady state error, dan undershoot. Hasil simulasi yang dibuat menunjukkan bahwa dengan menggunakan kontroler FPID lebih baik dibandingkan dengan kontroler PID. Dimana respon overshoot untuk kontroler FPID 0% sedangkan kontroler PID adalah 0.23%. Begitu pula dengan respon undershoot untuk kontrol FPID adalah 2.88% sedangkan kontroler PID adalah 6.78%. Untuk respon rise time, settling time, dan steady state error tidak jauh berbeda dari kedua kontroler. Sistem yang sudah di buat disimulasikan di platform LabView

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Du, Yanchen, Shulin Wang, Yan Zhu, Laiqiang Li, and Guangqiang Han. "Performance of a New Fine Particle Impact Damper." Advances in Acoustics and Vibration 2008 (September 30, 2008): 1–6. http://dx.doi.org/10.1155/2008/140894.

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The energy dissipation mechanisms of conventional impact damper (CID) are mainly momentum exchange and friction. During the impact process, a lot of vibration energy cannot be exhausted but reverberated among the vibration partners. Besides, the CID may produce the additional vibration to the system or even amplify the response in the low-frequency vibration. To overcome these shortcomings, this paper proposes a new fine particle impact damper (FPID) which for the first time introduces the fine particle plastic deformation as an irreversible energy sink. Then, the experiments of the cantilevered beam with the CID and that with the FPID are, respectively, carried out to investigate the behavior of FPID. The experimental results indicate that the FPID has a better performance in vibration damping than in the CID and the FPID works well in control of the vibration with frequency lower than 50 Hz, which is absent to the non-obstructive particle damper. Thus, the FPID has a bright and significant application future because most of the mechanical vibration falls in the range of low freqency.

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Miskon, Mohamad Taib, Mohd Hezri Fazalul Rahiman, and Mohd Nasir Taib. "Assessing the Effectiveness of Fuzzy-PID Controller under Temperature Setpoint Changes During Coffee Roasting Process." International Journal of Emerging Technology and Advanced Engineering 13, no. 3 (March 1, 2023): 13–21. http://dx.doi.org/10.46338/ijetae0323_02.

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Roasting coffee is an essential step in the production of coffee because it affects the flavour, aroma, and overall quality of the final product. Temperature control during the roasting process is essential to achieve a consistent and desired taste. This study seeks to assess the performance of a Fuzzy PID (FPID) controller during coffee roasting when the temperature setpoint varies. The temperature range in this study is from 34-200℃. The study employs an SR500 coffee roaster as the process plant, a FOPDT model structure, a PID-AMIGO benchmark controller, FPID-3 and FPID-5 controllers as the proposed controller. The study includes both simulation and real-time testing for the FPID-5 controller. The results for the FPID-5 controller indicated that the overshoot was reduced to 0.24% and 4.04% in simulation and 2.9% and 8.6% in real-time testing, representing an improvement of more than 90% in overshoot reduction compared to the PID controller. Thus, the proposed FPID-5 controller has been proven to effectively suppress overshoot during temperature setpoint changes in the coffee roasting process. Keywords— Arduino, FOPDT, Process control, temperature controller, real-time control.

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Sabahi, Kamel, Amin Hajizadeh, and Mehdi Tavan. "Lyapunov–Krasovskii based FPID controller for LFC in a time-delayed micro-grid system with fuel cell power units." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 40, no. 3 (June 2, 2021): 488–501. http://dx.doi.org/10.1108/compel-09-2020-0314.

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Purpose In this paper, a novel Lyapunov–Krasovskii stable fuzzy proportional-integral-derivative (PID) (FPID) controller is introduced for load frequency control of a time-delayed micro-grid (MG) system that benefits from a fuel cell unit, wind turbine generator and plug-in electric vehicles. Design/methodology/approach Using the Lyapunov–Krasovskii theorem, the adaptation laws for the consequent parameters and output scaling factors of the FPID controller are developed in such a way that an upper limit (the maximum permissible value) for time delay is introduced for the stability of the closed-loop MG system. In this way, there is a stable FPID controller, the adaptive parameters of which are bounded. In the obtained adaptation laws and the way of stability analyses, there is no need to approximate the nonlinear model of the controlled system, which makes the implementation process of the proposed adaptive FPID controller much simpler. Findings It has been shown that for a different amount of time delay and intermittent resources/loads, the proposed adaptive FPID controller is able to enforce the frequency deviations to zero with better performance and a less amount of energy. In the proposed FPID controller, the increase in the amount of time delay leads to a small increase in the amount of overshoot/undershoot and settling time values, which indicate that the proposed controller is robust to the time delay changes. Originality/value Although the designed FPID controllers in the literature are very efficient in being applied to the uncertain and nonlinear systems, they suffer from stability problems. In this paper, the stability of the FPID controller has been examined in applying to the frequency control of a nonlinear input-delayed MG system. Based on the Lyapunov–Krasovskii theorem and using rigorous mathematical analyses, the stability conditions and the adaptation laws for the parameters of the FPID controller have been obtained in the presence of input delay and nonlinearities of the MG system.

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Qiu, H., and Q. Zhang. "Feedforward-plus-proportional-integral-derivative controller for an off-road vehicle electrohydraulic steering system." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 217, no. 5 (May 1, 2003): 375–82. http://dx.doi.org/10.1243/095440703321645089.

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This paper presents the use of a feedforward-plus-proportional-integral-derivative (FPID) controller for improving the control performance of the electrohydraulic steering system on an offroad vehicle. The FPID controller used an inverse valve transform in the feedforward loop to compensate for an electrohydraulic steering system deadband and used a conventional PID feedback loop to minimize the tracking error in steering control. On-simulator evaluation tests verified that the FPID resulted in a superior steering rate tracking performance over both a feedforward controller and a PID controller. On-vehicle evaluation tests verified that this FPID controller could achieve prompt and accurate steering angle tracking for agricultural vehicle automated guidance applications.

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Albalawi, Hani, Sherif A. Zaid, Mohmed E. El-Shimy, and Ahmed M. Kassem. "Ant Colony Optimized Controller for Fast Direct Torque Control of Induction Motor." Sustainability 15, no. 4 (February 17, 2023): 3740. http://dx.doi.org/10.3390/su15043740.

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Induction motor (IM) drives have tremendous applications as high-performance drives in things such as mine winders, machine tools, electric vehicles, and elevators. Usually, IM drives controlled by direct torque control are preferred for these applications due to their fast torque control and simplicity compared with IM drives with field-oriented control. Proportional–integral–derivative (PID) controllers are commonly used to control IM drives using DTC. Though these controllers are simple and provide excellent response for linear systems with constant set points, they perform poorly with variable set points and IM motor parameter uncertainties. Hence, many control techniques and optimization algorithms have been applied to improve IM drive performance. This paper proposes an IM drive controlled using direct torque control principles, but with the power converter operation optimized to give fast torque performance. The IM drive speed response is improved using an optimized fuzzy PID (FPID). The FPID optimization is accomplished by the ant colony optimization (ACO) algorithm. All components of the IM drive with the optimized control system were simulated using the MATLAB/Simulink platform. The responses of the introduced drive using three different controllers—conventional PID, FPID, and optimized FPID—were compared. The simulation results indicate that the optimized FPID controller provided the best performance in terms of speed and torque. Additionally, the performance of the IM with the proposed optimized FPID under parameter uncertainties was studied. The simulation results indicated the robustness of the optimized FPID controller against parameter uncertainties.

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Ghalib, Ahmed F., and Ahmed A. Oglah. "Design and Implementation of a Fuzzy Logic Controller for Inverted Pendulum System Based on Evolutionary Optimization Algorithms." Engineering and Technology Journal 38, no. 3A (March 25, 2020): 361–74. http://dx.doi.org/10.30684/etj.v38i3a.400.

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The inverted pendulum is a standard classical problem in the branch of control and systems. If a cart is bushed by force then its position and angle of the pendulum will be changed. Several controllers may employed, keeping the pendulum arm upright by controlling at the cart location. In this search paper, the fuzzy-like PID (FPID) controller has been used to control the inverted pendulum, and the parameters of the controller are tuned with several evolutionary optimization algorithms like a genetic algorithm (GA), ant colony optimization (ACO), and social spider optimization (SSO.) The result of tuned FPID with evolutionary optimization is compared with conventional PID, and it shows that FPID with SSO has been given the best result.

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Gao, Qiang, Li Jun Ji, Run Min Hou, and Ji Lin Chen. "Depth Control of an Electro-Hydraulic Servo System Based on Fractional Order PID." Advanced Materials Research 430-432 (January 2012): 1650–54. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.1650.

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Electro-hydraulic servo systems (EHSS) are widely used in many industrial applications, and to determine the control strategies to exhibit high robustness and high precision remains the focus of attention. In order to improve the control performance of EHSS, a novel control method, based on fractional PID (FPID) controller, is proposed and designed for the EHSS. The transfer function of EHSS is constructed using first-principle method. The feasibility and availability of the proposed controller are examined by numerical simulation. The control performances of fractional FPID are well assessed based on performance indexes, including response time, tracking accuracy and robustness. The results of the simulation verify that FPID controller is of excellent control performance, and is suitable for the control of EHSS.

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Liu, Dan, Ya-Li Guo, Jin Qu, and Chi Zhang. "Recyclable hypervalent-iodine-mediated solid-phase peptide synthesis and cyclic peptide synthesis." Beilstein Journal of Organic Chemistry 14 (May 22, 2018): 1112–19. http://dx.doi.org/10.3762/bjoc.14.97.

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The system of the hypervalent iodine(III) reagent FPID and (4-MeOC6H4)3P was successfully applied to solid-phase peptide synthesis and cyclic peptide synthesis. Four peptides with biological activities were synthesized through SPPS and the bioactive cyclic heptapeptide pseudostellarin D was obtained via solution-phase peptide synthesis. It is worth noting that FPID can be readily regenerated after the peptide coupling reaction.

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Baboshkin, G. D., and P. A. Ushakov. "Modeling a fractional order control system with a high-inertia control object using the example of an antenna rotator stabilization system." Journal of «Almaz – Antey» Air and Space Defence Corporation, no. 3 (September 30, 2019): 41–51. http://dx.doi.org/10.38013/2542-0542-2019-3-41-51.

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The paper considers the problem of achieving high quality control of the system with an object having a high-inertia component. Modeling a stabilization system with a classical proportional-integral-differential controller (PID controller) showed that when using such a controller, it is not possible to achieve the desired control quality due to the long time needed to establish a transition process with the required overshoot. We suggested a hypothesis that using a fractional order PID controller (FPID controller) it is possible to solve this problem. We carried out mathematical modeling of the system with the FPID controller and revealed that the FPID controller can significantly reduce the time needed to establish the transition process of the system under consideration. The study describes elements with fractal impedance based on a resistive-capacitive medium, and gives a description of their model. The adequacy of the mathematical model is confirmed by means of the sheet-oriented model in the LTSpice program using the selected model. Conclusions are made about the feasibility and necessity of conducting research in the field of design and manufacture of a FPID controller and elements with fractal impedance

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Chen, Chunchao, Jinsong Li, Jun Luo, Shaorong Xie, and Hengyu Li. "Seeker optimization algorithm for optimal control of manipulator." Industrial Robot: An International Journal 43, no. 6 (October 17, 2016): 677–86. http://dx.doi.org/10.1108/ir-12-2015-0225.

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Purpose This paper aims to improve the adaptability and control performance of the controller, a proposed seeker optimization algorithm (SOA) is introduced to optimize the controller parameters of a robot manipulator. Design/methodology/approach In this paper, a traditional proportional integral derivative (PID) controller and a fuzzy logic controller are integrated to form a fuzzy PID (FPID) controller. The SOA, as a novel algorithm, is used for optimizing the controller parameters offline. There is a performance comparison in terms of FPID optimization about the SOA, the genetic algorithm (GA), particle swarm optimization (PSO) and ant colony optimization (ACO). The DC motor model and the experimental platform are used to test the performance of the optimized controller. Findings Compared with GA, PSO and ACO, this novel optimization algorithm can enhance the control accuracy of the system. The optimized parameters ensure a system with faster response speed and better robustness. Originality/value A simplified FPID controller structure is constructed and a novel SOA method for FPID controller is presented. In this paper, the SOA is applied on the controller of 5-DOF manipulator, and the validation of controllers is tested by experiments.

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Abdelwanis, Mohamed I., and Ragab A. El-Sehiemy. "Performance enhancement of split-phase induction motor by using fuzzy-based PID controller." Journal of Electrical Engineering 70, no. 2 (April 1, 2019): 103–12. http://dx.doi.org/10.2478/jee-2019-0016.

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Abstract This paper presents control and analysis of a split-phase induction motor (SPIM) to drive a centrifugal pumping system. An optimized proportional- integral and derivative (PID) controller, that is capable with a vector closed-loop split-phase induction motor control, is presented and its simulation results are discussed. The fine-tuning procedure is employed for fuzzy PID (FPID) controller parameters in order to sustain the motor speed at the predefined reference values. To assess the performance of the competitive controllers, conventional PID (CPID) and FPID, four operational indices for are suggested for measure the capability of the two controllers. These indices involve individual steady state error (ISSE) for each operating period, total steady state error (TSSE) for overall loading cycle, Individual oscillation index (IOI) and Total oscillation index (TOI), in order to measure the capability of the FPID compared with CPID. The performance of the SPIM accomplished with these performance indices is checked and tested on high and low speed levels. Pulse width modulation (PWM) based simulation studies were employed for SPIM using MATLAB/SIMULINK software. The results show that the overall performance of the SPIM operated with vector control that is tuned by FPID is enhanced compared with CPID.

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Chen, Yao, Tao Zhao, Songyi Dian, Xiaodong Zeng, and Haipeng Wang. "Balance Adjustment of Power-Line Inspection Robot Using General Type-2 Fractional Order Fuzzy PID Controller." Symmetry 12, no. 3 (March 19, 2020): 479. http://dx.doi.org/10.3390/sym12030479.

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In this study, a general type-2 fractional order fuzzy PID (GT2FO-FPID) controller is proposed to fulfil the balance adjustment of the Power-line Inspection (PLI) robot system. It is a combination of Mamdani general type-2 fuzzy logic controller (GT2-FLC) and fractional PID controller. Since the PLI robot system is an under-actuated system, it’s necessary to get complete information of the system. However, when all state variables are treated as input to the controller, there is a problem with the rule explosion. Because of this, the information fusion method is adopt to solve the problem and simplify the controller design. At the same time, fractional-order integral-differential operators and input-output scaling factors, which are taken as design variables and optimized by genetic algorithm (GA). To assess the performance of proposed controller based on symmetry criterion, we compared it against existing controllers, i.e., interval type-2 fractional order fuzzy PID (IT2FO-FPID), type-1 fractional order fuzzy PID (T1FO-FPID), and conventional fractional order (FOPID) controllers. Furthermore, to show the anti-inference ability of the proposed controller, three common perturbed process are tested. Finally, simulation results show that the GT2FO-FPID controller outperforms other controllers in the presence of external perturbations on the PLI robot system.

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Alawad, Nasir Ahmed. "Frequency Design Approach for FPID controller of Model Reduction AVR." Brilliant Engineering 2, no. 2 (January 21, 2021): 31–37. http://dx.doi.org/10.36937/ben.2021.002.004.

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A very important concept with regard to power system control is automatic voltage regulator (AVR). The task of (AVR) is to hold the terminal voltage magnitude of a synchronous generator at a specified level. The mathematical model of AVR is nonlinear and very complex in order, so for simplicity, it needs to reduce the order. Fractional proportional-Integral–Derivative controller (FOPID) is proposed and executed on AVR utilizing frequency design approach. The FPID controller showed strong execution in transient exhibitions, robust performance in transient performances, less settling time, maximum overshot and steady-state error. The FPID controller displays an iso-damping property (flat reaction). The design is done in frequency domain and hence stability and robustness of the design is automatically guaranteed unlike the other time domain optimization-based controller design methods. The proposed method compared with, TID controller (Tilt-Integral-Derivative) and FOLLC (Fractional Order Lead-Lag Compensator. MATLAB tool box for Fractional order system (FOMCON) is used for transient response analysis. The results show that the FPID controller tuned with settled PID parameters gives acceptable execution regarding set point following when compared with classical TID and FOLLC.

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Feleke, Solomon, Balamurali Pydi, Raavi Satish, Degarege Anteneh, Kareem M. AboRas, Hossam Kotb, Mohammed Alharbi, and Mohamed Abuagreb. "DE-Based Design of an Intelligent and Conventional Hybrid Control System with IPFC for AGC of Interconnected Power System." Sustainability 15, no. 7 (March 23, 2023): 5625. http://dx.doi.org/10.3390/su15075625.

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In this study, a fuzzy proportional integral derivative controller (FPID) was adjusted using the differential evolution (DE) method to enhance the automated generation control (AGC) of a three-zone reheat-type power system. The objective function used in this study was an integral of the time-weighted absolute error (ITAE). In the optimization, the gain control parameters of the proportional integral (PI), the integral (I), and FPID were optimized and compared to improve the limitations drawn by the controller over a few parameters. To demonstrate that FPID controllers with IPFC produce better and more accurate optimization results than integral and PI controllers optimized by DE, the interline power flow control (IPFC) of a flexible AC transmission system (FACTS) device with suitable connections and control parameter optimization was used. Also, the particle swarm optimization (PSO) PID with IPFC was compared with the proposed DEFPID + IPFC, and better results were achieved by using the DE technique. Similarly, to demonstrate the suggested technology’s strong control capacity, random load changes were applied to the system in various conditions, and it was demonstrated that the suggested control unit easily tolerated random load perturbations and returned the system to a stable functioning state.

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Kalyan, Ch Naga Sai, B. Srikanth Goud, Ch Rami Reddy, Haitham S. Ramadan, Mohit Bajaj, and Ziad M. Ali. "Water Cycle Algorithm Optimized Type II Fuzzy Controller for Load Frequency Control of a Multi-Area, Multi-Fuel System with Communication Time Delays." Energies 14, no. 17 (August 30, 2021): 5387. http://dx.doi.org/10.3390/en14175387.

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This paper puts forward the implementation of an intelligent type II fuzzy PID (T2-FPID) controller tweaked with a water cycle algorithm (WCA), subjected to an error multiplied with time area over integral (ITAE) objective index for regularizing the variations in frequency and interline power flow of an interconnected power system during load disturbances. The WCA-based T2-FPID is tested on a multi-area (MA) system comprising thermal-hydro-nuclear (THN) (MATHN) plants in each area. The dynamical behavior of the system is analyzed upon penetrating area 1 with a step load perturbation (SLP) of 10%. However, power system practicality constraints, such as generation rate constraints (GRCs) and time delays in communication (CTDs), are examined. Afterward, a territorial control scheme of a superconducting magnetic energy storage system (SMES) and a unified power flow controller (UPFC) is installed to further enhance the system performance. The dominancy of the presented WCA-tuned T2-FPID is revealed by testing it on a widely used dual-area hydro-thermal (DAHT) power system model named test system 1 in this paper. Analysis reveals the efficacy of the presented controller with other approaches reported in the recent literature. Finally, secondary and territorial regulation schemes are subjected to sensitivity analysis to deliberate the robustness.

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Alobaidy, Yousif Safaa, and Osama Ali Awad. "Real-time optimized wireless networked control system with cooperative network protocols." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 3 (September 1, 2023): 1350. http://dx.doi.org/10.11591/ijeecs.v31.i3.pp1350-1361.

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In this paper, we present a real-time optimized fuzzy fuzzy proportional integral derivative (FPID)-controlled wireless networked system for a high-torque direct current (DC) motor. The main challenge faced by such systems is the delay in the wireless networked control system (WNCS). We employed a powerful FPID controller tuned using particle swarm optimization (PSO) technique to compensate for the delay. The system is tested on a network using the TrueTime simulator with different parameters. The results show that the system exhibits a very stable response, with the FPID controller compensating for the delay effectively. Increasing the number of nodes negatively impacts the system's performance, resulting in higher overshoot, longer settling time, and longer rise time. Moreover, the choice of bandwidth share and sampling time significantly affects the system's stability and real-time response. The use of transmission control protocol/internet protocol (TCP/IP) or user datagram protocol (UDP) protocols with Node MCU is necessary to transfer data from the Arduino Microcontroller to MATLAB, as MATLAB TrueTime simulator does not support direct serial communication. In conclusion, this study highlights valuable insights into the performance of the proposed system, demonstrating the need for further improvements in the system's design and control algorithms to achieve stable operation.

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Mehedi, Ibrahim M., Heidir S. M. Shah, Ubaid M. Al-Saggaf, Rachid Mansouri, and Maamar Bettayeb. "Fuzzy PID Control for Respiratory Systems." Journal of Healthcare Engineering 2021 (June 24, 2021): 1–6. http://dx.doi.org/10.1155/2021/7118711.

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This paper presents the implementation of a fuzzy proportional integral derivative (FPID) control design to track the airway pressure during the mechanical ventilation process. A respiratory system is modeled as a combination of a blower-hose-patient system and a single compartmental lung system with nonlinear lung compliance. For comparison purposes, the classical PID controller is also designed and simulated on the same system. According to the proposed control strategy, the ventilator will provide airway flow that maintains the peak pressure below critical levels when there are unknown parameters of the patient’s hose leak and patient breathing effort. Results show that FPID is a better controller in the sense of quicker response, lower overshoot, and smaller tracking error. This provides valuable insight for the application of the proposed controller.

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Badal, Faisal R., Zannatun Nayem, Subrata K. Sarker, Dristi Datta, Shahriar Rahman Fahim, S. M. Muyeen, Md Rafiqul Islam Sheikh, and Sajal K. Das. "A Novel Intrusion Mitigation Unit for Interconnected Power Systems in Frequency Regulation to Enhance Cybersecurity." Energies 14, no. 5 (March 4, 2021): 1401. http://dx.doi.org/10.3390/en14051401.

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Cyberattacks (CAs) on modern interconnected power systems are currently a primary concern. The development of information and communication technology (ICT) has increased the possibility of unauthorized access to power system networks for data manipulation. Unauthorized data manipulation may lead to the partial or complete shutdown of a power network. In this paper, we propose a novel security unit that mitigates intrusion for an interconnected power system and compensates for data manipulation to augment cybersecurity. The studied two-area interconnected power system is first stabilized to alleviate frequency deviation and tie-line power between the areas by designing a fractional-order proportional integral derivative (FPID) controller. Since the parameters of the FPID controller can also be influenced by a CA, the proposed security unit, named the automatic intrusion mitigation unit (AIMU), guarantees control over such changes. The effectiveness of the AIMU is inspected against a CA, load variations, and unknown noises, and the results show that the proposed unit guarantees reliable performance in all circumstances.

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Sheta, A. A., E. H. Ali, R. M. Fikry, T. A. Mahmoud, S. M. El-Araby, and M. I. Mahmoud. "Intelligent Control for Pressurizer System in Nuclear Power Plants." Journal of Physics: Conference Series 2128, no. 1 (December 1, 2021): 012022. http://dx.doi.org/10.1088/1742-6596/2128/1/012022.

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Abstract Fine control of output power for nuclear power plants is the essential goal for safe operation. In this work, a Fuzzy analytical proportional-integral-derivative (FPID) controller with different configurations is designed to adjust and control the pressure of the PZR system. The stability analysis of the FPID controller with variable gains is established, and conditions for bounded-input bounded-output stability conditions (BIBO) are derived using the small gain theory. Two scenarios are applied for evaluating the dynamic response of applied controllers. In addition, performance indices are compared between the PZR model and data measured from the PCtran VVER-1200 simulator. Finally, a simulation platform is developed for MATLAB / Simulink to implement the three-region nonlinear non-equilibrium PZR model and the designed pressure controllers. The analysis and evaluation results showed good durability of the designed controllers and satisfactory performance of the control. These results further show that the nonlinear PZR model is accurate, feasible, and valuable for dynamic simulation and control unit design.

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Dodd, Karen. "LD Professional Senate Briefing for FPID Committee and for Bulletin." FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 17, no. 3 (December 2019): 56–57. http://dx.doi.org/10.53841/bpsfpid.2019.17.3.56.

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Feleke, Solomon, Raavi Satish, Workagegn Tatek, Almoataz Y. Abdelaziz, and Adel El-Shahat. "DE-Algorithm-Optimized Fuzzy-PID Controller for AGC of Integrated Multi Area Power System with HVDC Link." Energies 15, no. 17 (August 25, 2022): 6174. http://dx.doi.org/10.3390/en15176174.

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A power system’s nonlinearity and complexity increase from time to time due to increases of power demand. Therefore, properly designed power system controlsare required. Without these, system instability will cause equipment failures, and possibly even cascading events and blackouts. To cope with this, intelligent controllers using soft computing are necessary for real time operation. In this paper, the reheat type three-area thermal power system is considered, and the output scaling factors, gain parameters of fuzzy membership functions, and parameters of fuzzy-proportional integral derivative (FPID) controllers are optimized using a differential evolution (DE) optimization techniqueand integral time multiplied absolute error (ITAE) as objective functions. To improve the limitations of the controller and to enhance stability of the system, high voltage direct current (HVDC) technology is advantageous due to its quickresponse capabilities. In this paper, a HVDC is connected in parallel to the system, revealing that a FPID controller with a HVDC provides better and more accurate resultscompared to a system without a controller. The test results presented in this paper show the proposed controller’s suitability for managing random load changes.

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Riansyah, Andi, Sri Mulyono, and M. Roichani. "Applying fuzzy proportional integral derivative on Internet of things for figs greenhouse." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (September 1, 2021): 536. http://dx.doi.org/10.11591/ijai.v10.i3.pp536-544.

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Indonesia is an agrarian country where most of population work as farmers. Various planting media have been developed in Indonesia such as using greenhouses. Greenhouse is one of very promising planting media for plant cultivators, because it can be a solution to challenges of extreme climate change. In a greenhouse, the state of the room can be easily controlled using technologies such as automatic watering systems, air temperature control, air humidity and soil moisture. This research focuses on figs by applying fuzzy proportional integral derivative (FPID) as artificial intelligence on the Internet of things (IoT) for greenhouses. It uses Tsukamoto method serves to monitor air conditions and soil conditions and then it is coupled with proportional integral derivative (PID) control to control air temperature, air humidity, and soil moisture so that it is always in the ideal condition of figs in greenhouse. By implementing FPID on IoT for greenhouse, the development of figs in greenhouse can be optimized because air and soil conditions can be maintained in ideal conditions.

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Huba, M., and I. Belai. "Experimental evaluation of a DO-FPID controller with different filtering properties." IFAC Proceedings Volumes 47, no. 3 (2014): 198–203. http://dx.doi.org/10.3182/20140824-6-za-1003.02455.

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Abdulkareem, Haneen S., and Osama A. Awad. "Fuzzy Set-Point Weight for PID Controller Based on Antlion Optimizer to Congestion Avoidance in TCP/AQM Routers." Iraqi Journal of Information & Communications Technology 2, no. 4 (February 23, 2020): 1–10. http://dx.doi.org/10.31987/ijict.2.4.73.

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Abstract: The delay in delivering packets and packets loss in computer networks is due to the problem of congestion in TCP/AQM routers, and to solve this crisis the TCP and AQM worked together. Where TCP provides secure data transfer and designed to handle congestion after its occurrence. While AQM predicts congestion and tries to resolve the problem before it occurs. In this work, the Fuzzy-PID (FPID) controller presented to manage the avoidance of congestion problems associated with TCP networks. The approach is based on hybridization between the Fuzzy Logic Controller (FLC) and the Proportional-Integral-Derivative(PID) controller, with the structure of Fuzzy-Set-Point-Wight(FSW) for PID controller that optimized by Antlion Optimizer(ALO) Using a linearized TCP congestion model. our target is to control the queue length of the router for the queue level in demand. The FPID controller shows good robustness for a Different scenario of the TCP network and the queue length response showed fast tracking capability with good robustness to network parameters changing in comparison to PID controller, all simulations are carried out using MATLAB 2017b.

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Wang, Xiaolu, Zefu Tan, Li Cai, Guoping Lei, and Nina Dai. "Bi-Directional Cuk Equalizer-Based Li-Ion Battery Pack Equalization Control Strategy Research." World Electric Vehicle Journal 14, no. 4 (March 28, 2023): 86. http://dx.doi.org/10.3390/wevj14040086.

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For the secure usage of battery charging and discharging within electric vehicles, the study of cell pack equalization technology is essential. Therefore, in this paper, an improved Bidirectional Cuk equalizer (BCEQ) structure based on a variable-domain fuzzy PID (VFPID) control equalization strategy is recommended in stages. With the new equalization topology, only half of the capacitive and inductive components are needed to transfer energy between any two individual cells in the power supply. In addition, the proposed VFPID control strategy further improves the efficiency of the equalization model by dynamically adjusting the magnitude of the equalization current parameters. Through simulation experiments, the improved topology was capable of substantially lessening the equalization time and increasing energy utilization by more than 4%. In comparison with the fuzzy PID (FPID) algorithm, around 27.3% faster equalization times can be achieved with the VFPID algorithm; the VFPID algorithm also performed well under the Dynamic Stress Test (DST) condition, demonstrating that the topology and equalization strategy suggested in this paper can successfully address the inconsistency of the FPID algorithm. It has been revealed that the topology and equalization methodology offered in this paper is effective in solving the battery pack inconsistency.

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Sudha, T. "Multi-Objective Optimization Based Multi-Objective Controller Tuning Method with Robust Stabilization of Fractional Calculus CSTR." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 16 (July 8, 2021): 375–82. http://dx.doi.org/10.37394/23203.2021.16.32.

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In Continuous Stirred Tank Reactor (CSTR) have Fractional order PID with the nominal order PID controller has been used to Multi-Criteria Decision Making (MCDM) and EMO (Evolutionary Multi-objective Optimization) by adjustment of control parameters like Hybrid methods in Multi objective optimization. But, this Fractional order PID with the nominal PID controller has maximum performance estimation. Proposed research work focused the Flower Pollination Algorithm based on Multi objective optimization with Genetic evaluation and Fractional order PID with the nominal PID controller is provides CSTR results. When a flower is displayed to maximum variations in this practical state, the Genetic evaluation has been used to identify the variations. The FPID (Flower Pollination Integral Derivative) is used for tuning the parameters of a Fractional order PID with the nominal PID controller for each region to improve the multi-criteria decision making. FPID also denoted as Flower Optimization Integral Derivative (FOID). The Genetic evaluation scheduler has been combined with multiple local linear Fractional order PID with the nominal PID controller to check the stability of loop for entire regions with various levels of temperatures. MATLAB results demonstrate that the feasibility of using the proposed Fractional order PID with the nominal PID controller compared than the existing PID controller, and it shows the FOID attained better results.

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AKCA, Talha Burak, Cenk ULU, and Salih OBUT. "INVERSE NEURO-FUZZY MODEL BASED CONTROLLER DESIGN FOR A PH NEUTRALIZATION PROCESS." Journal of Scientific Reports-A, no. 052 (March 29, 2023): 19–34. http://dx.doi.org/10.59313/jsr-a.1197288.

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Since pH neutralization processes have extremely nonlinear characteristics, controlling it might be difficult. Therefore, a special controller design is needed to handle the high nonlinearities of the process. In this study, an inverse neuro-fuzzy model-based controller (NFMBC) design is presented for control of a pH neutralization process (NP). Input-output (IO) data set of the process is collected by applying a proper excitation signal. Then, forward and inverse neuro-fuzzy models of the process are constructed by using this data set after a training process. In terms of design simplicity, a two-input-one-output model structure is chosen for both neuro-fuzzy models. These forward and inverse neuro-fuzzy models are used in a nonlinear internal model control (NIMC) structure in order to provide robustness against disturbances and model mismatches. To examine the proposed controller's performance, simulation studies are carried out under setpoint variation and disturbance conditions. Additionally, the performance of the inverse NFMBC is compared to that of a fuzzy proportional integral derivative (FPID) controller with a 7x7 rule base. The results demonstrate that the designed controller provides more effective control performance for setpoint variations and also exhibits higher robustness against disturbances in the acid flow rate than the FPID controller.

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Alawad, Nasir, and Nora Rahman. "Tuning FPID Controller for an AVR System Using Invasive Weed Optimization Algorithm." Jordan Journal of Electrical Engineering 6, no. 1 (2020): 1. http://dx.doi.org/10.5455/jjee.204-1581071239.

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Ahmad Alawad, Nasir, and Nora Ghani Rahman. "Design of (FPID) controller for Automatic Voltage Regulator using Differential Evolution Algorithm." International Journal of Modern Education and Computer Science 11, no. 12 (December 8, 2019): 21–28. http://dx.doi.org/10.5815/ijmecs.2019.12.02.

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尹, 延松. "Research on VIENNA Rectifier Based on FPID Controller Optimized by GA Algorithm." Journal of Electrical Engineering 04, no. 02 (2016): 117–25. http://dx.doi.org/10.12677/jee.2016.42015.

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Ahmad Alawad, Nasir, and Nora Ghani Rahman. "Design of (FPID) controller for Automatic Voltage Regulator using Differential Evolution Algorithm." International Journal of Modern Education and Computer Science 11, no. 12 (December 8, 2019): 21–28. http://dx.doi.org/10.5815/ijmecs.2019.12.03.

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Kavanagh, Ellen, Rachel Walton, and Peter Oakes. "The assessment of intellectual disability: ‘Looking at your assessments we think you have an intellectual disability’ – What does this mean?" FPID Bulletin: The Bulletin of the Faculty for People with Intellectual Disabilities 15, no. 1 (April 2017): 14–16. http://dx.doi.org/10.53841/bpsfpid.2017.15.1.14.

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This article describes the development of an informative booklet designed to provide information and support to individuals recently assessed and told that they have an intellectual disability. The booklet uses the term ‘learning disability’ as this terminology is more widely used within the Rotherham, Doncaster and South Humberside NHS Foundation Trust. However, the text within this article tends to refer to ‘intellectual disability’ as this is consistent with the term used by the FPID Bulletin.

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Kosari, A., H. Jahanshahi, and S. A. Razavi. "Optimal FPID Control Approach for a Docking Maneuver of Two Spacecraft: Translational Motion." Journal of Aerospace Engineering 30, no. 4 (July 2017): 04017011. http://dx.doi.org/10.1061/(asce)as.1943-5525.0000720.

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Journal articles on the topic 'FPID'

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