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Sliding mode predictive tracking control for DC permanent magnet motor in NCSs with random delay and packet dropouts

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  • Control Theory and Applications
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Abstract

This paper studies the tracking control of dc permanent magnet motor (DC–PMM) in networked control systems (NCSs) with random delay and packet dropouts in feedback channel (sensor to controller) and the feedforward channel (controller to actuator). A sliding mode predictive tracking control algorithm based on the theory of pseudo partial derivative (PPD) is designed to compensate random delay and packet dropouts in process of motor control. The stability of the proposed method and the convergence of the tracking error are analyzed and proved. Finally, an example about dc motor in NCS is given to verify the effectiveness of the proposed method. Simulation results show that the outputs of dc motor can better track the desired trajectory after compensating by the presented method, and are quite stable.

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Correspondence to Yong Chen.

Additional information

Recommended by Editor Myo Taeg Lim. This work is supported by the National Natural Science Foundation of China under Grant 61305104, Sichuan Youth Science and Technology Fund under Grant 2017JQ0022 and the Scientific and Technical Supporting Programs of Sichuan Province under Grant (2016GZ0395, 2017GZ0391 and 2017GZ0392).

Meng Li received his B.S. degree in applied math from Yanan University in 2012, and the M.S. degree applied math from Xihua University in 2015. Since September 2015, he is a Ph.D. student in the University of Electronic Science and Technology of China (UESTC). His research interests include: network control, robust control, control theory.

Yong Chen received his B.S. degree in Industrial Automation from Taiyuan University of Science and Technology, Taiyuan, Shanxi, in 2001, the M.S. degree in Control Theory and Control Engineering from Guangxi University, Nanning, Guangxi, in 2004 and the Ph.D degree in Control Theory and Control Engineering from Chongqing University, Chongqing, in 2007.Since 2015, he has been a Professor and Ph.D. supervisor of School of Energy Science and Engineering and Director of Institute for Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China (UESTC). His current research interests include power electronics, motor control, energy control and network control. He is a IEEE Senior Member.

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Li, M., Chen, Y. Sliding mode predictive tracking control for DC permanent magnet motor in NCSs with random delay and packet dropouts. Int. J. Control Autom. Syst. 15, 2723–2732 (2017). https://doi.org/10.1007/s12555-016-0366-2

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  • DOI: https://doi.org/10.1007/s12555-016-0366-2

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