Journal articles: 'Traditional control mode'

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Vázquez, Nimrod, Yuz Azaf, Ilse Cervantes, Eslí Vázquez, and Claudia Hernández. "Maximum Power Point Tracking Based on Sliding Mode Control." International Journal of Photoenergy 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/380684.

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Solar panels, which have become a good choice, are used to generate and supply electricity in commercial and residential applications. This generated power starts with the solar cells, which have a complex relationship between solar irradiation, temperature, and output power. For this reason a tracking of the maximum power point is required. Traditionally, this has been made by considering just current and voltage conditions at the photovoltaic panel; however, temperature also influences the process. In this paper the voltage, current, and temperature in the PV system are considered to be a part of a sliding surface for the proposed maximum power point tracking; this means a sliding mode controller is applied. Obtained results gave a good dynamic response, as a difference from traditional schemes, which are only based on computational algorithms. A traditional algorithm based on MPPT was added in order to assure a low steady state error.

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Hawkins, Nicholas, Bhagyashri Bhagwat, and Michael L. McIntyre. "Nonlinear Current-Mode Control of SCIG Wind Turbines." Energies 14, no. 1 (December 24, 2020): 55. http://dx.doi.org/10.3390/en14010055.

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In this paper, a nonlinear controller is proposed to manage the rotational speed of a full-variable Squirrel Cage Induction Generator wind turbine. This control scheme improves upon tractional vector controllers by removing the need for a rotor flux observer. Additionally, the proposed controller manages the performance through turbulent wind conditions by accounting for unmeasurable wind torque dynamics. This model-based approach utilizes a current-based control in place of traditional voltage-mode control and is validated using a Lyapunov-based stability analysis. The proposed scheme is compared to a linear vector controller through simulation results. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes.

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Srun, Channareth, Saran Meas, Sok Oeun Un, Saokun Khim, and Virbora Ny. "Prototype Self-Adaptive Traffic Light Control System Using Cameras." EPI International Journal of Engineering 4, no. 2 (August 30, 2021): 127–33. http://dx.doi.org/10.25042/10.25042/epi-ije.082021.04.

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Cambodia is a developing country with rapid development. More vehicle usage on the road increased, this leads to more traffic problems. The traditional traffic light and traffic police officer help solve the problem at a level and limited conditions. For a better improvement, the smart traffic light is a good solution that can adapt to the real-world environment. There are four cameras are used to capture and analyze the vehicle traffic to control the modes of the traffic light. This method gives the improvement over the limited time of the traditional traffic light. This smart traffic light comes with three-term mode conditions including normal mode, camera mode, and night mode.

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Pei, Pei, Zhongcai Pei, Zhiyong Tang, and Han Gu. "Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control." Mathematical Problems in Engineering 2018 (September 30, 2018): 1–15. http://dx.doi.org/10.1155/2018/5794067.

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A novel Fuzzy PID-Variable Structure Adaptive Control is proposed for position tracking of Permanent Magnet Synchronous Motor which will be used in electric extremity exoskeleton robot. This novel control method introduces sliding mode variable structure control on the basis of traditional PID control. The variable structure term is designed according to the sliding mode surface which is designed by system state equation, so it could compensate for the disturbance and uncertainty. Considering the chattering of sliding mode system, the fuzzy inference method is adopted to adjust the parameters of PID adaptively in real time online, which can attenuate chattering and improve control precision and dynamic performance of system correspondingly. In addition, compared with the traditional sliding mode control, this method takes the fuzzy PID control item to replace the equivalent control item of sliding mode variable structure control, which could avoid the control performance reduction resulted from modeling error and parameter error of system. It is proved that this algorithm can converge to the sliding surface and guarantee the stability of system by Lyapunov function. Simulation results show that Fuzzy PID-Variable Structure Adaptive Control enjoys better control precision and dynamic performance compared with traditional control method, and it improves the robustness of system significantly. Finally, the effectiveness and practicability of the algorithm are verified by the method of Rapid Control Prototyping on the semiphysical simulation test bench.

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WATANABE, KENICHI, YOUSUKE SUGIYAMA, TOMOYA ENOKIDO, and MAKOTO TAKIZAWA. "MODERATE CONCURRENCY CONTROL IN DISTRIBUTED OBJECT SYSTEMS." Journal of Interconnection Networks 05, no. 02 (June 2004): 181–91. http://dx.doi.org/10.1142/s021926590400109x.

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Objects are concurrently manipulated only through methods issued by multiple transactions in object-based systems. We first extend traditional read and write lock modes to methods on objects. We newly introduce availability and exclusion types of conflicting relations among methods. Then, we define a partially ordered relation on lock modes showing which modes are stronger than others. We newly propose a moderate concurrency control algorithm. Before manipulating an object through a method, the object is locked in a weaker mode than an intrinsic mode of the method. Then, the lock mode is escalated to the method mode. The weaker the initial mode is, the more concurrency is obtained but the more frequently deadlock occurs.

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Sun, Hua, Yue Hong Dai, and Chuan Sheng Tang. "Sliding-Mode Position Control of PMSLM Based on Grey Forecasting Model." Applied Mechanics and Materials 687-691 (November 2014): 85–88. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.85.

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This paper presented a new method of sliding mode control for position control problem in view of the uncertainty of friction model of permanent magnet synchronous linear motor (PMSLM). This is an estimation compensation control scheme for non-homogeneous sequence data.The stability of the proposed control law was verified according to Lyapunov stable theory.Comparison with traditional control was given through Matlab simulations, which proved the feasibility and efficiency of the proposed control method for PMSLM drive system.

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Ma, Qiang, and Yu Qiang Jin. "Supersonic Missile Control with PI Sliding Mode Method." Advanced Materials Research 295-297 (July 2011): 1773–76. http://dx.doi.org/10.4028/www.scientific.net/amr.295-297.1773.

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Comparing with traditional adaptive methods, a very simple PI sliding mode controller is designed for uncertain nonlinear missile systems with the help of two main assumptions which are also testified to be reasonable.The construction of PI control for sliding surface is novel and effective. Also, the proof of PI type control law is unique in this paper.

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Ma, Rui, Shu Ju Hu, Xun Bo Fu, Hong Hua Xu, and Nian Hong Li. "Torque Control and Pitch Control Strategy in VSCF Wind Turbine above Rated Wind Speed." Advanced Materials Research 463-464 (February 2012): 1715–20. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1715.

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Above rated wind speed, the wind turbine speed and output power are maintained near the rated values through the coordinative control of torque and pitch angle. Due to the non-linear behavior of the wind turbine, the traditional PID control is not effective in the pitch control. And accurate mathematical model of wind turbine is very difficult to get. In order to solve the problem, the fuzzy adaptive tuning PID control algorithm is proposed in the paper. About torque control strategy, constant torque control mode and constant power control mode are simulated respectively. Based on the analysis and comparison of the advantages and disadvantages of both modes, a mix control mode is proposed in order to give consideration to both torque and power. Simulation was carried out with the proposed torque control and pitch control strategy in MATLAB and GH Bladed software. The results proved that output power is optimized and the response of the wind turbine is good

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Wang, Dongwen, Dongheng Wang, Wei Zhou, and Libo Niu. "Research on PMSM Sliding-mode Vector Combined Speed Controller Based on Improved Exponential Reaching Law." Journal of Physics: Conference Series 2260, no. 1 (April 1, 2022): 012024. http://dx.doi.org/10.1088/1742-6596/2260/1/012024.

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Abstract Sliding mode control has good robustness, but the traditional sliding mode has the problem of chattering. Aiming at the conflict between velocity and chattering in the approach stage of sliding mode control, a new reaching law is put forward. By improving the isokinetic approach term of the traditional exponential reaching law, the system’s requirements in different stages of sliding mode motion are met, and this contradiction has been effectively improved. At the same time, to better improve the control effect of permanent magnet synchronous motor (PMSM) speed regulation system, combined with the traditional PI control with no static error and no overshoot, a combined speed controller combining sliding mode control and PI control is designed to enhance the robustness of the system. By building a model in Matlab/SIMULINK for simulation, the effectiveness of the improved exponential reaching law and the improvement of the system performance brought by the combined speed controller are verified respectively.

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Luo, Junhai, and Heng Liu. "Adaptive Fractional Fuzzy Sliding Mode Control for Multivariable Nonlinear Systems." Discrete Dynamics in Nature and Society 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/541918.

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This paper presents a robust adaptive fuzzy sliding mode control method for a class of uncertain nonlinear systems. The fractional order calculus is employed in the parameter updating stage. The underlying stability analysis as well as parameter update law design is carried out by Lyapunov based technique. In the simulation, two examples including a comparison with the traditional integer order counterpart are given to show the effectiveness of the proposed method. The main contribution of this paper consists in the control performance is better for the fractional order updating law than that of traditional integer order.

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Fu, Mingyu, and Duansong Wang. "The Bioinspired Model-Based Hybrid Sliding-Mode Formation Control for Underactuated Unmanned Surface Vehicles." Journal of Control Science and Engineering 2018 (December 2, 2018): 1–9. http://dx.doi.org/10.1155/2018/7563178.

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In this paper, a novel hybrid strategy is proposed for unmanned surface vehicle (USV) formation control. The strategy is divided into two subsystems: a virtual velocity controller based on the bioinspired model and a dynamic controller based on the sliding-mode model. The proposed control scheme solves the problem of a speed jump that occurs in the traditional backstepping method when the margin of error increases suddenly, and it also satisfies the actuator control constraint. Additionally, a dynamic controller is designed, combining the sliding mode with the proposed virtual controller, to avoid the traditional chattering problem. System stability is proven by the Lyapunov theory. Simulation results verify the effectiveness of the proposed controller.

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Yi, Long Long, Fu Chun Zhang, Yan Zhong Hao, and Xin Xin Chen. "Permanent Magnet Synchronous Motor Control Research Based on Improved Sliding Mode Algorithm." Applied Mechanics and Materials 401-403 (September 2013): 1581–85. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1581.

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A speed controller with fuzzy sliding mode algorithm was designed by using power function instead of the traditional switch symbol function, and adjusting the approach law parameters combined with fuzzy algorithm in real time, as it was difficult to eliminate the chattering when designing a PMSM speed controller with the traditional sliding mode variable structure. The mathematical model of the PMSM was built in Matlab/Simulink with the vector control strategy. The simulation results showed that the control system of PMSM built by improved sliding mode had quick velocity response with less overshoot and significantly weakened chattering, which verified the efficiency of the improved algorithm in the simulation stage.

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Zhang, Dan-xu, Yang-wang Fang, Peng-fei Yang, You-li Wu, and Tong-xin Liu. "A New Control Method for Second-Order Multiple Models Control System Based on Global Sliding Mode." Mathematical Problems in Engineering 2018 (July 30, 2018): 1–8. http://dx.doi.org/10.1155/2018/5709162.

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This paper proposed a finite time convergence global sliding mode control scheme for the second-order multiple models control system. Firstly, the global sliding surface without reaching law for a single model control system is designed and the tracking error finite time convergence and global stability are proved. Secondly, we generalize the above scheme to the second-order multimodel control system and obtain the global sliding mode control law. Then, the convergent and stable performances of the closed-loop control system with multimodel controllers are proved. Finally, a simulation example shows that the proposed control scheme is more effective and useful compared with the traditional sliding mode control scheme.

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Han, Hong Pei, Wu Wang, and Zheng Min Bai. "Global Robust Terminal Sliding Mode Control for PMLSM Servo System." Applied Mechanics and Materials 273 (January 2013): 280–85. http://dx.doi.org/10.4028/www.scientific.net/amm.273.280.

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Permanent Magnet Linear Synchronous Motor (P MLSM was hard to control with traditional control strategy for parameters variation and external load disturbance, a global robust terminal sliding mode control (GRTSMC) was designed for PMLSM servo system, the sliding mode surface function was designed, the robust sliding mode control law was deduced and the stability was proved by Lyapunov theory. With the mathematical models of PMLSM, the simulation was taken with traditional PID control, SMC control and GRTSMC control proposed in this paper, the robust performance be found with GRTSMC control when motor parameters and external load changed, the efficiency and advantages of this robust control strategy was successfully demonstrated.

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Ekanayake, Uthpala N., and Uditha S. Navaratne. "A Survey on Microgrid Control Techniques in Islanded Mode." Journal of Electrical and Computer Engineering 2020 (October 15, 2020): 1–8. http://dx.doi.org/10.1155/2020/6275460.

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Traditional power networks with generation in upstream and consumption in the downstream were controlled with centralized controls like SCADA. However, in order to facilitate the penetration of distributed generation, the concept of microgrid was popularized. A microgrid can operate both in grid-connected and in islanded modes. One of the challenges in the microgrid environment is to provide both voltage control and maintain the system frequency while ensuring the stability of the network. This paper is a literature survey focused on different microgrid control techniques with different levels of communication especially in islanded operation.

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Lin, Chih-Jer, Chii-Ruey Lin, Shen-Kai Yu, and Chin-Ren Hsu. "Enhanced Sliding Mode Control with CEMF Compensation for Tracking Control of a Piezoactuated Flexure-Based Mechanism." Advances in Mechanical Engineering 6 (January 1, 2014): 769192. http://dx.doi.org/10.1155/2014/769192.

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This paper proposes an enhanced sliding mode controller (SMC) for piezoelectric actuator based flexural mechanism (PABFM) to track desired motion trajectories. First, based on the variable structural control approach, the proposed controller is established to accommodate parameter uncertainties, nonlinearity, and unmodelled disturbances. Because the traditional sliding-mode control cannot deal with mismatched disturbances effectively, a hysteresis counterelectromotive force (CEMF) model is proposed to describe nonlinear hysteresis effect and electric-mechanical coupling of PABFM. as Similar to the CEMF voltage for a motor caused by a changing electromagnetic field due to a rotating armature, the CEMF voltage appears to PA due to polarization and molecule friction of piezomaterial. The CEMF model is identified using a charge system search (CSS). Then, the proposed SMC with CEMF compensation is studied to deal with the mismatched nonlinear disturbances. To check the consistency of the proposed SMC controller with CEMF compensation, the simulation results were compared with the experimental results. The real-time implementation validated the tracking error better than the traditional SMC.

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Sun, Qiao, Shaokun Jia, Jie Zhang, Kunpeng Zhao, Zhixiang Li, and Bo Yu. "Research on redundant control mode of coordinated controller based on dual control cores." E3S Web of Conferences 213 (2020): 02006. http://dx.doi.org/10.1051/e3sconf/202021302006.

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Dual CPU redundant operation of PLC is of great significance to the reliability of industrial automation control system. In view of the problems existing in the traditional dual CPU PLC redundancy control mode based on hardware strategy, this paper proposes a dual CPU redundancy control idea based on software strategy, and describes in detail the specific scheme of Dual CPU redundancy software design using A-B ControlLogix series PLC.

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Tan, Kuo, Hai Wu, Guo Hu, and Qi Huang. "Technology and application of operation control of DC distribution network." E3S Web of Conferences 252 (2021): 01019. http://dx.doi.org/10.1051/e3sconf/202125201019.

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DC distribution network consists of distributed generation, energy storage, load and AC distribution network, With the rapid development of DC distribution network and the increasing proportion of DC load, the operation mode of DC distribution network is more flexible. Different from the traditional AC distribution network, the traditional AC distribution network has a single operation mode, while the DC distribution network can operate in both parallel mode and island mode. Therefore, a control method suitable for different operation modes of DC distribution network is urgently needed. In this paper, a control method about loop closing and loop opening of DC distribution network is proposed. When receiving the command of loop closing or loop opening from the master station or local monitoring system, the loop closing control is judged by the switch state, fault state and operation state of converter. It solves the problem that the traditional AC distribution network control strategy is not applicable in DC distribution network, it realizes the smooth switching of DC distribution network closed loop operation and opened loop operation. This method has been used in the DC coordinated control device and successfully applied in the national key research and development plan of Suzhou active distribution network.

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Wu, Jiajie, Zebin Yang, Xiaodong Sun, and Ding Wang. "Model predictive direct suspension force control of a bearingless induction motor based on sliding mode observer." Engineering Computations 39, no. 2 (November 30, 2021): 457–76. http://dx.doi.org/10.1108/ec-09-2020-0540.

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PurposeThe purpose of the control method proposed in this paper is to address the problem of the poor anti-interference of the suspension winding current in the traditional bearingless induction motor (BL-IM) direct suspension force control process.Design/methodology/approachA model predictive direct suspension force control of a BL-IM based on sliding mode observer is proposed in this paper. The model predictive control (MPC) is introduced to the traditional direct suspension force control to improve the anti-interference of the suspension current. A sliding mode flux linkage observer is designed and applied to the MPC system, which reduces the error of the parameter observation and improves the robustness of the system. The strategy is designed and implemented in the MATLAB/Simulink and the two-level AC speed regulation platform.FindingsThe simulation and experimental results show that the performance of the BL-IM under the control method proposed in this paper is better than that under the traditional direct suspension force control, and the suspension performance of the motor and the anti-interference of the control system are improved.Originality/valueThis study helps to improve the suspension performance of the motor and the anti-interference of the control system.

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Cho, Moon Gyeang, Useok Jung, Jun-Young An, Yoo-Seung Choi, and Chang-Joo Kim. "Adaptive Trajectory Tracking Control for Rotorcraft Using Incremental Backstepping Sliding Mode Control Strategy." International Journal of Aerospace Engineering 2021 (July 14, 2021): 1–15. http://dx.doi.org/10.1155/2021/4945642.

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This paper investigates the adaptive incremental backstepping sliding mode control for the rotorcraft trajectory-tracking control problem to enhance the robustness to the matched uncertainty in the model. First, the incremental dynamics is used for the control design to exclude the adverse effect of the mismatched model uncertainties on the trajectory-tracking performance. Secondly, the sliding-mode control strategy is adopted in the second design stage of the backstepping controller, and the effect of switching gains on the controller robustness is thoroughly studied using the rotorcraft model with different levels of the matched uncertainties. To clarify the robustness enhancement using the adaptive selection of switching gains, this paper chooses three different control structures consisting of the traditional backstepping control and two backstepping sliding mode controls with the fixed or adaptively adjusted switching gains. These control designs are applied to the trajectory-tracking control for the helical-turn maneuver of the Bo-105 helicopter to compare their relative robustness to the matched uncertainties. The results prove that adaptive incremental backstepping sliding mode control shows much higher robustness than other two designs, and the controller even with the fixed switching gains can be used to improve the robustness of the pure backstepping control design. Therefore, the present adaptive incremental backstepping sliding mode control is effectively applicable with the rotorcraft model which typically contains many different sources of both matched and mismatched uncertainties.

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Zeng, Hao, Rui Bo Yuan, Zu Shun He, and Peng Yi. "Speed Servo Control of Pneumatic Manipulator Based on Sliding Mode Variable Structure Control." Applied Mechanics and Materials 233 (November 2012): 158–62. http://dx.doi.org/10.4028/www.scientific.net/amm.233.158.

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For a series of non-linear factors of compression, friction, air pressure and load changing in the pneumatic system, it impact seriously on low-speed precision and stability of the pneumatic servo system. As the sliding mode variable structure has a good anti-interference ability and capacity of the model parameter perturbation, In this paper we use the above control strategy to solve the unmodeled part of the pneumatic system dynamics and bounded disturbances, so it can improve accuracy and stability of the aerodynamic servo system. The simulation results indicate that the system combined with sliding mode variable structure strategy has better anti-jamming capability and response speed than the traditional PID control strategy.

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Guo, Yufei, Leru Luo, and Changchun Bao. "Design of a Fixed-Wing UAV Controller Combined Fuzzy Adaptive Method and Sliding Mode Control." Mathematical Problems in Engineering 2022 (January 31, 2022): 1–22. http://dx.doi.org/10.1155/2022/2812671.

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To overcome the complexity of the coupled nonlinear model of a fixed-wing UAV system and the uncertainty caused by a large number of interference factors, a control algorithm combining fuzzy adaptive control and sliding mode variable structure control was proposed. The controller algorithm mainly relies on the sliding mode variable structure control method to solve the control problem of the strongly coupled complex nonlinear system. Based on sliding mode control, a fuzzy adaptive method is introduced to reduce the chattering problem of the traditional sliding mode control, and the uncertain parameters and unknown functions caused by external disturbances are approximated by this method. In this study, two types of fuzzy adaptive sliding mode controller were designed according to the different object ranges of the fuzzy adaptive algorithm. In addition, the stability of the controllers was verified using the Lyapunov method. Finally, numerical simulations are performed to demonstrate the effectiveness of the proposed controllers by comparing with the traditional sliding mode controller.

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Shtessel, Yuri, Parisa Kaveh, and Ashkan Ashrafi. "Harmonic oscillator utilizing double-fold integral, traditional and second-order sliding mode control." Journal of the Franklin Institute 346, no. 9 (November 2009): 872–88. http://dx.doi.org/10.1016/j.jfranklin.2009.05.006.

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Huynh-Van, Van, and Phong Tran-Thanh. "Discrete Sliding Mode Control Design for Piezoelectric Actuator." Journal of Advanced Engineering and Computation 3, no. 3 (September 30, 2019): 492. http://dx.doi.org/10.25073/jaec.201933.254.

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Piezoelectric bimorph actuators have been employed in several applications. In this paper, the piezoelectric actuator is discretized and its hysteresis function is studied, then a digital sliding mode controller is designed. Furthermore, a perturbation estimation technique is applied and an observer is no longer needed. In addition, simulations are performed also using the traditional PID controller in order to validate the proposed controller scheme performance.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

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Wang, Rui, Lei Gao, Chengrui Bai, and Hui Sun. "U-Model-Based Sliding Mode Controller Design for Quadrotor UAV Control Systems." Mathematical Problems in Engineering 2020 (April 28, 2020): 1–11. http://dx.doi.org/10.1155/2020/4343214.

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This paper proposes a U-model-based fault-tolerant controller design method in order to ensure the unmanned aerial vehicle (UAV) flight performance when subject to the actuator failures. Depending on the decoupled quadrotor model, this paper presents a sliding mode control method based on U-model in detail and realizes fault-tolerant control for the quadrotor UAV with the stability theory and simulation experiment verifications. The results show that the new controller designed by using the U-model method can simplify the controller design process which has good fault-tolerant characteristics when actuator faults occur compared with the traditional method.

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Fang-Chen, Yin, and Shi Hong-Wei. "Gauge-Looper integrated optimal control for hot strip finishing mills based on sliding mode control." Metallurgical Research & Technology 118, no. 4 (2021): 413. http://dx.doi.org/10.1051/metal/2021056.

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Gauge-Looper and tension are controlled independently in the conventional control strategies, which are not able to deal with the external disturbance. Many researchers have proposed and applied a variety of control schemes for this problem, but the increasingly strict market demand for strip quality requires further improvements. This work describes a sliding mode control (SMC) strategy that realizes the optimal control of a automatic Gauge control and Looper control integrated system. Firstly, a state-space model of Gauge-Looper integrated system was established based on a 1700 mm tandem hot mill. Then, In order to achieve the desired dynamical performance of Gauge-Looper integrated system, the sliding mode surface and control law of SMC controller was designed. Simulation experiments for a traditional PID controller and the proposed SMC controller were conducted using MATLAB/Simulink software. The simulation results show that when the system is disturbed, the traditional controller produces a Gauge fluctuation of 0.136 mm and tension fluctuation of 1.177 MPa, which is unacceptable in hot strip mills. The SMC controller restricts the Gauge fluctuation to less than 0.047 mm, and the tension fluctuation is less than 0.382 MPa in all cases.

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Zou, Quan. "Adaptive sliding mode control for chain driving system with disturbance observer." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 9 (January 24, 2020): 1050–59. http://dx.doi.org/10.1177/0959651819895693.

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The design and implementation of adaptive sliding mode control with disturbance observer for chain driving system driven by permanent magnet synchronous motor with parameter variation, meshing impact and large friction are addressed in this study. First, an adaptive model compensation control law is designed for perfect position tracking, while a nonlinear disturbance observer is investigated to estimate the normalized disturbance, which is fast changing due to the severe polygon effect, the meshing impact and so on. To further improve the robustness and the control performance, the translation-width idea is embedded into the adaptive sliding mode control with disturbance observer system, which can suppress the chattering phenomenon caused by imperfect switching in traditional sliding mode control. Moreover, the translation width is online updated using an adaptive mechanism, which is delivered in the Lyapunov sense. Thus, the stability of the closed-loop system is guaranteed in the Lyapunov stability theorem sense. Experimental results show that the proposed adaptive sliding mode control with disturbance observer scheme is insensitive to parameter variation, meshing impact, large friction and so on, and has a better control performance compared with the traditional adaptive sliding mode control and the disturbance observer–based sliding mode control.

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Huang, Zhi Yu, and Xi Zheng. "Research on Sensorless Control of PMSM Based on Sliding Mode Observer." Applied Mechanics and Materials 668-669 (October 2014): 637–40. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.637.

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In the foundation of the realization of sensorless control of permanent magnet synchronous motor(PMSM) based on the traditional sliding mode observer, the paper focuses on the research on the chattering impacts on the estimation of rotor position and speed, which are caused by the sliding mode variable structure control. To weaken the chattering, the paper proposes two kinds of methods. First, the paper designs the saturation function with boundary layer thickness variable instead of sign function in the traditional sliding mode observer. Meanwhile, let the phase-locked loop (PLL) combine to the sliding mode observer, and construct the rotor position signal detection unit. Finally, the paper verifies the correctness and effectiveness of the proposed methods through the theoretical analysis and simulation.

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Hu, Ke, Xiao Kai Wang, Jian Lan Luo, and Xi Jun Wu. "The Ring’s Axial Deformation Control Method of Vertical Hot Ring Rolling Process." Advanced Materials Research 941-944 (June 2014): 1865–70. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.1865.

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Axial deformation of the ring during the traditional vertical hot ring rolling (VHRR) process has a considerable effect on the ring products’ quality. In this paper, the ring’s axial deformation of VHRR process of three different rolling modes, that is, open-die mode, close-die mode and open-die mode with conical rolls like the radial-axial ring rolling (RARR) process is analyzed. Three groups of 3D coupled thermo-mechanical FE models of VHRR process are established in software ABAQUS, and the axial deformation and the width spread of the rings are studied in detail. Finally, a special conical roll device was designed and equipped on the traditional VHRR mill, and series of VHRR experiments are conducted, the results of both simulation and VHRR process show that the formed rings utilizing open-die rolling with a special pair of conical rolls has lower axial deformation, smoother end surface and higher precision than the formed rings utilizing open-die rolling and close-die rolling. The research results can supply an effective approach to axial deformation control of traditional VHRR process.

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Derri, Mounir, Mostafa Bouzi, Ismail Lagrat, and Youssef Baba. "Fuzzy Sliding Mode Control for Photovoltaic System." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 3 (September 1, 2016): 964. http://dx.doi.org/10.11591/ijpeds.v7.i3.pp964-973.

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In this study, a fuzzy sliding mode control (FSMC) based maximum power point tracking strategy has been applied for photovoltaic (PV) system. The key idea of the proposed technique is to combine the performances of the fuzzy logic and the sliding mode control in order to improve the generated power for a given set of climatic conditions. Different from traditional sliding mode control, the developed FSMC integrates two parts. The first part uses a fuzzy logic controller with two inputs and 25 rules as an equivalent controller while the second part is designed for an online adjusting of the switching controller’s gain using a fuzzy tuner with one input and one output. Simulation results showed the effectiveness of the proposed approach achieving maximum power point. The fuzzy sliding mode (FSM) controller takes less time to track the maximum power point, reduced the oscillation around the operating point and also removed the chattering phenomena that could lead to decrease the efficiency of the photovoltaic system.

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Xiao, Hongliang, Huacong Li, Jia Li, Jiangfeng Fu, and Kai Peng. "Research on Variable Cycle Engine Control Based on Model Reference Adaptive Sliding Mode Control Method." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 5 (October 2018): 824–30. http://dx.doi.org/10.1051/jnwpu/20183650824.

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As to solve the problem of multivariable output tracking control of variable cycle engine under system uncertainties and external disturbances, an augmented model reference adaptive sliding mode control method based on LQR method was developed. Firstly, the model is augmented and the reference state is provided to the controller by designing the reference model using the optimal LQR method. Then, based on the state tracking sliding mode control method, the adaptive law is derived based on the strict stability condition of Lyapunov function to estimate the upper bound of the system perturbation matrix and the upper bound of the external disturbances. Finally, the controller achieves the asymptotic zero tracking error of the system under the conditions of uncertainty and external disturbance. The simulation results showed that the LQR-based augmented model reference adaptive sliding mode control method can solve the problem that the traditional sliding mode control method needs to specify the reference state in advance and improve the control performance of the variable cycle engine control with system uncertainties and external disturbance. The tracking of the control command is effectively achieved and the steady-state and dynamic performance are improved. The steady-state control errors under different conditions are less than 0.1%, the system overshoot is less than 0.5%, and the adjustment time is less than 1s, which conformed to the requirements of the aero engine control system technology.

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Zhou, Chen, Xinhui Liu, Wei Chen, Feixiang Xu, and Bingwei Cao. "Optimal Sliding Mode Control for an Active Suspension System Based on a Genetic Algorithm." Algorithms 11, no. 12 (December 14, 2018): 205. http://dx.doi.org/10.3390/a11120205.

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In order to improve the dynamic quality of traditional sliding mode control for an active suspension system, an optimal sliding mode control (OSMC) based on a genetic algorithm (GA) is proposed. First, the overall structure and control principle of the active suspension system are introduced. Second, the mathematical model of the quarter car active suspension system is established. Third, a sliding mode control (SMC) controller is designed to manipulate the active force to control the active suspension system. Fourth, GA is applied to optimize the weight coefficients of an SMC switching function and the parameters of the control law. Finally, the simulation model is built based on MATLAB/Simulink (version 2014a), and the simulations are performed and analyzed with the proposed control strategy to identify its performance. The simulation results show that the OSMC controller tuned using a GA has better control performance than the traditional SMC controller.

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Huo, Ju, and Jia Shan Cui. "Design of Spacecraft Controller Based on Adaptive Fuzzy Sliding Mode Variable Structure." Applied Mechanics and Materials 380-384 (August 2013): 278–81. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.278.

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Using of feedback linearization technique to solve the problem of traditional sliding mode control chattering. The fuzzy adaptive control and sliding mode variable structure was designed by combining a novel adaptive fuzzy sliding mode variable structure controller. Through fuzzy inference and the stability analysis based on Lyapunov function to obtain fuzzy control rules adaptive law and effective solution to the traditional sliding mode control of the need to determine the parameter perturbation and external interference supremum uncertainty. Simulation results show that this method has better stability and robustness.

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Yang, Zebin, Lin Chen, Xiaodong Sun, Weiming Sun, and Dan Zhang. "A Bearingless Induction Motor Direct Torque Control and Suspension Force Control Based on Sliding Mode Variable Structure." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2409179.

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Aiming at the problems of the large torque ripple and unstable suspension performance in traditional direct torque control (DTC) for a bearingless induction motor (BIM), a new method of DTC is proposed based on sliding mode variable structure (SMVS). The sliding mode switching surface of the torque and flux linkage controller are constructed by torque error and flux error, and the exponential reaching law is used to design the SMVS direct torque controller. On the basis of the radial suspension force mathematical model of the BIM, a radial suspension force closed-loop control method is proposed by utilizing the inverse system theory and SMVS. The simulation models of traditional DTC and the new DTC method based on SMVS of the BIM are set up in the MATLAB/Simulink toolbox. On this basis, the experiments are carried out. Simulation and experiment results showed that the stable suspension operation of the BIM can be achieved with small torque ripple and flux ripple. Besides, the dynamic response and suspension performance of the motor are improved by the proposed method.

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Ying, Fu Qiang, and Tao Mei Guo. "A Squeeze Casting Die Temperature Control System Based on Fuzzy Control." Applied Mechanics and Materials 37-38 (November 2010): 50–54. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.50.

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On account of difficulties of squeeze casting die temperature control, squeeze casting process and factors influencing squeeze casting die were analyzed. On the basis of current heating and cooling ways of squeeze casting die, multiple factors and variability of die temperature influence were studied, a new squeeze casting die temperature control model was established. Fuzzy Control was chosen as the control system pattern. After designing the fuzzy controller, simulation model of die temperature control system was set up in the Simulink block of Matlab, and moreover, simulation was performed in it. The simulation results show that the system has good control performance compared with the traditional PID control mode.

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Wang, Xiang, Yifei Wu, Fei Yan, Yang Gao, and Zhen Xu. "Adaptive Terminal Sliding-Mode Control for Servo Systems with Inertia Variations." MATEC Web of Conferences 160 (2018): 05004. http://dx.doi.org/10.1051/matecconf/201816005004.

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Inertia variations in servo systems greatly affect the control performance. This paper presents an adaptive terminal sliding-mode controller to deal with the problem. Instead of using traditional mathematics model, a characteristic model, which has more advantages in describing time-varying dynamics, is adopted to describe the servo system with inertia variations. The parameters of characteristic model are identified by the recursive least squares algorithm. Then, an adaptive terminal sliding-mode controller is designed based on the characteristic model. Theoretical analysis proves that the quasi-sliding mode is reached in finite steps. Simulation results demonstrate the improvement of tracking performance of the proposed controller.

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Sun, Jian Zhong, Jian Kang Lu, Bin Yang, and Jun Li Li. "Sliding Mode Variable Structural Control of Nonlinear Inverted Pendulum." Advanced Materials Research 433-440 (January 2012): 74–80. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.74.

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In this paper, the multi-input linear and nonlinear mathematical differential equations of inverted pendulum system were established based on the traditional single-input linear inverted pendulum. Aiming at multi-input nonlinear model, nonlinear state transformation are carried through on the basis of the test of distribution involution and the calculation of integral manifold, then, the multi-input nonlinear inverted pendulum system was transformed into two single-input nonlinear inverted pendulum system to study. In the end, make use of related nonlinear system control theory of the sliding mode variable structure, designed the controller structure.

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Zhang, Wei Zhong, Gang Chen, Li Ming Hu, Tao Wang, Shi Tang Cui, and Qiang Jiang. "Research of Vehicle Trajectory Tracking Based on Human-Simulated Intelligent Control." Advanced Materials Research 940 (June 2014): 375–79. http://dx.doi.org/10.4028/www.scientific.net/amr.940.375.

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As unmanned ground vehicle is a nonlinear time-varying system, it is difficult to describe the accurate mathematical model. To solve this problem, a control algorithm of vehicle trajectory tracking based Human-Simulated Intelligent Control (HSIC) is proposed, and feature model set, control mode set and reasoning mode set are designed. Finally, this method and traditional preview follower PID algorithm are compared with each other in experimental way. The results show that such method has small dependence on the model with better control effect and overall stability.

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Zhu, Wang, Liu, Wang, Tai, and Jiang. "Optimal Control of Microgrid Operation Based on Fuzzy Sliding Mode Droop Control." Energies 12, no. 19 (September 20, 2019): 3600. http://dx.doi.org/10.3390/en12193600.

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In the application of microgrid systems that include wind power, photovoltaic systems, diesel generators, and battery storage, the cooperative control and optimisation of power distribution between power sources is a major issue. Recently, the droop control has been used widely in microgrids. However, droop control relies mainly on the line parameter model between the grid and the load. Therefore, to improve the performance of the microgrid, the optimal control of microgrid operation based on the fuzzy sliding mode droop control method is considered in this paper. To begin, system parameters were obtained by modeling droop control with self-learning fuzzy control strategy. Then, to improve the accuracy of the power distribution in the multi-micro source system, the nonlinear differential smoothing control method was employed. Finally, by comparing the self-learning fuzzy sliding mode control based on drooping strategy and the traditional droop control method, it was demonstrated that the method proposed can effectively reduce the fluctuation of the bus voltage and improve the output voltage quality of the microgrid system.

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Feng, An Ping. "Application Research of Numerical Control Machining Technology in Mechanical Manufacturing." Advanced Materials Research 898 (February 2014): 521–24. http://dx.doi.org/10.4028/www.scientific.net/amr.898.521.

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Mold manufacturing is an important part in mechanical manufacturing, and casting quality of mechanical manufacturing is influenced by mold quality directly. If mold manufacturing still adopts the traditional mode, that will has a severe dependence on core box or appearance, often with a relatively long period and relatively high cost, which will be hard to satisfy the rapid development and manufacturing of small batch sheet parts. This article introduces the application of new product development, processing equipment performance and process principle of metal parts no-mode numerical control processing and manufacturing technology, the technology in mechanical manufacturing process. This technology is to thoroughly change the traditional craft with no need of modes, and is able to cast accurate and quick production. Its main characteristics are flexible, digital, greening, motors, etc., which provide the corresponding solutions for rapid manufacture small batch sheet metal.

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Li, Zheng, Zihao Zhang, Jinsong Wang, Shaohua Wang, Xuetong Chen, and Hexu Sun. "ADRC Control System of PMLSM Based on Novel Non-Singular Terminal Sliding Mode Observer." Energies 15, no. 10 (May 19, 2022): 3720. http://dx.doi.org/10.3390/en15103720.

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In an attempt to solve the problem of the many parameters of the traditional active disturbance rejection controller (ADRC) and to accurately estimate the mover position and speed required by a permanent magnet synchronous linear motor (PMLSM) system, an improved ADRC and a novel nonsingular fast terminal sliding mode observer (NFTSMO) are proposed. Firstly, the traditional first-order ADRC is simplified, the tracking differentiator (TD) module is removed, and the direct error is used to replace the nonlinear function in the extended state observer (ESO) and nonlinear state error feedback (NLSEF) module. Based on the traditional NFTSMO, the smooth back electromotive force (EMF) is obtained by adding the TD to reduce the phase delay caused by the low-pass filter in the traditional sliding mode observer (SMO), and the actuator position and speed information are modulated from the observed back EMF based on the principle of a phase-locked loop (PLL). Simulation and experiments show that this method not only simplifies the system structure of PMLSM but also optimizes many parameters in ADRC while retaining the original excellent performance. Compared with the traditional NFTSMO, the improved NFTSMO enhances the observation accuracy, reduces the chattering phenomenon of the system, and improves the robustness of the system.

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Shi, Zeyu, Yingpin Wang, Yunxiang Xie, Lanfang Li, and Xiaogang Xu. "Research of Active Power Filter Modeling with Grid Impedance in Feedback Linearization and Quasi-Sliding Mode Control." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9840657.

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Active power filter (APF) is the most popular device in regulating power quality issues. Currently, most literatures ignored the impact of grid impedance and assumed the load voltage is ideal, which had not described the system accurately. In addition, the controllers applied PI control; thus it is hard to improve the compensation quality. This paper establishes a precise model which consists of APF, load, and grid impedance. The Bode diagram of traditional simplified model is obviously different with complete model, which means the descriptions of the system based on the traditional simplified model are inaccurate and incomplete. And then design exact feedback linearization and quasi-sliding mode control (FBL-QSMC) is based on precise model in inner current loop. The system performances in different parameters are analyzed and dynamic performance of proposed algorithm is compared with traditional PI control algorithm. At last, simulations are taken in three cases to verify the performance of proposed control algorithm. The results proved that the proposed feedback linearization and quasi-sliding mode control algorithm has fast response and robustness; the compensation performance is superior to PI control obviously, which also means the complete modeling and proposed control algorithm are correct.

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Jiang, Lei, Enliang Liu, and Ding Liu. "A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter." Complexity 2020 (January 8, 2020): 1–11. http://dx.doi.org/10.1155/2020/5415636.

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A Mixed Logic Dynamic (MLD) model and control method based on mode selection are proposed for the Buck convertor. In establishing the hybrid system model, the factors such as the inductor current are neglected, and the Model Predictive Control (MPC) is used to switch the most favorable working state of the control target. Since the modeling process ignores the inductance and current, it is necessary to convert the optimization prediction control resulting to avoid the problem that the model is inconsistent with the control object. The method proposed in this paper uses fewer auxiliary logic variables and mixed logic variables in the modeling process, simplifying the model and improving the solution speed. This method can not only make the Buck converter work in the Continuous Current Mode (CCM) but also work in the Discontinuous Current Mode (DCM), extending the adjustment range of the Buck converter. The simulation results show that the proposed method has a better control performance than the traditional MLD model.

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Wang, Xiao Dong, and Gang Liu. "Sensorless Control of High Speed Permanent Magnet Synchronous Motor Based on Modified Sliding-Mode Observer." Advanced Materials Research 986-987 (July 2014): 1134–37. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1134.

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In sensorless vector control of permanent magnet synchronous motor, it is necessary to achieve an accurate estimate of the motor speed and position of the rotor. Traditional sliding mode observer algorithm has the inherent chattering problem which reduces accuracy. The Sigmoid function was used to replace the sign function in the traditional sliding mode observer as the switching control function to cancel the filter and phase compensation links. A new sliding mode observer was designed and its stability was proved. High-speed permanent magnet synchronous motor simulation and experimental results show: the new modified sliding mode observer based on Sigmoid function can eliminate the severe buffeting of the traditional sliding mode observer, achieve the accurate estimation of the rotor speed and position for high-speed permanent magnet synchronous motor to complete a wide range of speed control; the correctness and feasibility of the sensorless control strategy based on this method is verified.

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45

Paul, Satyam, Wen Yu, and Xiaoou Li. "Discrete-time sliding mode for building structure bidirectional active vibration control." Transactions of the Institute of Measurement and Control 41, no. 2 (April 23, 2018): 433–46. http://dx.doi.org/10.1177/0142331218764581.

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In terms of vibrations along bidirectional earthquake forces, several problems are faced when modelling and controlling the structure of a building, such as lateral-torsional vibration, uncertainties surrounding the rigidity and the difficulty of estimating damping forces. In this paper, we use a fuzzy logic model to identify and compensate the uncertainty which does not require an exact model of the building structure. To attenuate bidirectional vibration, a novel discrete-time sliding mode control is proposed. This sliding mode control has time-varying gain and is combined with fuzzy sliding mode control in order to reduce the chattering of the sliding mode control. We prove that the closed-loop system is uniformly stable using Lyapunov stability analysis. We compare our fuzzy sliding mode control with the traditional controllers: proportional–integral–derivative and sliding mode control. Experimental results show significant vibration attenuation with our fuzzy sliding mode control and horizontal-torsional actuators. The proposed control system is the most efficient at mitigating bidirectional and torsional vibrations.

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Wu, Yun-jie, Yue-yang Hua, and Xiao-dong Liu. "Design Method of Active Disturbance Rejection Variable Structure Control System." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/195720.

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Based on lines cluster approaching theory and inspired by the traditional exponent reaching law method, a new control method, lines cluster approaching mode control (LCAMC) method, is designed to improve the parameter simplicity and structure optimization of the control system. The design guidelines and mathematical proofs are also given. To further improve the tracking performance and the inhibition of the white noise, connect the active disturbance rejection control (ADRC) method with the LCAMC method and create the extended state observer based lines cluster approaching mode control (ESO-LCAMC) method. Taking traditional servo control system as example, two control schemes are constructed and two kinds of comparison are carried out. Computer simulation results show that LCAMC method, having better tracking performance than the traditional sliding mode control (SMC) system, makes the servo system track command signal quickly and accurately in spite of the persistent equivalent disturbances and ESO-LCAMC method further reduces the tracking error and filters the white noise added on the system states. Simulation results verify the robust property and comprehensive performance of control schemes.

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Wang, Zhi Fu, and Fu Lin Zhang. "Sensorless Control of PMSM Based on Improved Sliding Mode Observer Method." Applied Mechanics and Materials 490-491 (January 2014): 955–59. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.955.

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This paper introduces an improved sliding mode observer for sensorless control of PMSM. In order to reduce the chattering phenomenon of traditional sliding mode observer, replace the ideal switching function with sigmoid function and use two-stage low frequency filter. At last, the simulation was done to verify the measures.

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Hu, Hongzhen, Shaoyi Bei, Qixian Zhao, Xiao Han, Dan Zhou, Xinye Zhou, and Bo Li. "Research on Trajectory Tracking of Sliding Mode Control Based on Adaptive Preview Time." Actuators 11, no. 2 (January 24, 2022): 34. http://dx.doi.org/10.3390/act11020034.

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The preview model is one of the common methods used in trajectory tracking. The traditional fixed preview time is not adaptable to most speeds and road conditions, which not only reduces the tracking accuracy but also reduces the vehicle stability. Therefore, a controller can be designed to determine the adaptive preview time based on an optimization function of the lateral deviation, the road boundary, and the road boundary of the whole vehicle motion response characteristics. Traditional optimal preview control theory predicts the next state of the vehicle by the assumption of constant transverse pendulum angular velocity. In this paper, an expectation-based approach is used to find the ideal steering wheel turning angle based on the adaptive preview time, and a single-point preview model is established. Based on the two-degree-of-freedom dynamics model, a sliding mode controller is designed for control, and the low-pass filters are designed to suppress jitter in the sliding mode controller. Simulation results with different preview times, different speeds and different road adhesion coefficients prove that the controller has a good control effect and has good effectiveness and adaptability to speed and adhesion coefficient.

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Chen, Wei, Yanhui Wei, Jianhui Zeng, Han Han, and Xianqiang Jia. "Adaptive Terminal Sliding Mode NDO-Based Control of Underactuated AUV in Vertical Plane." Discrete Dynamics in Nature and Society 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6590517.

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The depth tracking issue of underactuated autonomous underwater vehicle (AUV) in vertical plane is addressed in this paper. Considering the complicated dynamics and kinematics model for underactuated AUV, a more simplified model is obtained based on assumptions. Then a nonlinear disturbance observer (NDO) is presented to estimate the external disturbance acting on AUV, and an adaptive terminal sliding mode control (ATSMC) based on NDO is applied to enhance the depth tracking performance of underactuated AUV considering both internal and external disturbance. Compared with the traditional sliding mode controller, the static error and chattering problem of the depth tracking process have been clearly improved by adopting NDO-based ATSMC. The stability of control system is proven to be guaranteed according to Lyapunov theory. In the end, simulation results imply that the proposed controller owns strong robustness and satisfied control effectiveness in comparison with the traditional controller.

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Cai, Xiaoye, Junyi Xue, Alexander Kümpel, and Dirk Müller. "Automated modelling of building energy systems with mode-based control algorithms in Modelica." Journal of Physics: Conference Series 2042, no. 1 (November 1, 2021): 012067. http://dx.doi.org/10.1088/1742-6596/2042/1/012067.

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Abstract The increasing use of renewable energy in building energy systems has brought considerable challenges for the traditional planning process to develop appropriate control strategies. In previous work, we have introduced the MODI method to support the structured development of mode-based control algorithms, in which operating modes are core elements. However, modeling of energy systems and control algorithms for control tests is time-consuming and error-prone. Identification of permissible operating modes is also unfeasible. The paper introduces a methodology to identify permissible operating modes and model energy systems with mode-based control algorithms in the modeling language Modelica automatically. In the case study, we apply the methodology for an energy supply network and verify the functionality of the methodology. In future work, automated optimization of control algorithms will be integrated into the methodology.

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Journal articles on the topic 'Traditional control mode'

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