Abstract
A new approach to speed control of induction motors is developed by introducing networked control systems (NCSs) into the induction motor driving system. The control strategy is to stabilize and track the rotor speed of the induction motor when the network time delay occurs in the transport medium of network data. First, a feedback linearization method is used to achieve input-output linearization and decoupling control of the induction motor driving system based on rotor flux model, and then the characteristic of network data is analyzed in terms of the inherent network time delay. A networked control model of an induction motor is established. The sufficient condition of asymptotic stability for the networked induction motor driving system is given, and the state feedback controller is obtained by solving the linear matrix inequalities (LMIs). Simulation results verify the efficiency of the proposed scheme.
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This work was supported by National Natural Science Foundation of China (No. 69774011)
Jun Ren received the B. Sc. degree in automation in 1999, and his M. Sc. degree in 2002, in process control of papermaking from South China University of Technology, PRC. He is currently a Ph. D. candidate in the Control Theory and Application Group of the Department of Automation, Tsinghua University, PRC.
His research interests include networked control, motion control, and nonlinear control.
Chun-Wen Li is a professor in the Control Theory and Application Group of the Department of Automation, Tsinghua University, PRC.
His research interests include nonlinear control, motion control, and electric power control.
De-Zong Zhao received the B. Sc. and M. Sc. degrees in automation from Shandong University, PRC, in 2002 and 2006, respectively. He is currently a Ph.D. candidate in the Control Theory and Application Group of the Department of Automation, Tsinghua University, PRC.
His research interests include synchronized motion control and motor control.
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Ren, J., Li, CW. & Zhao, DZ. Linearizing control of induction motor based on networked control systems. Int. J. Autom. Comput. 6, 192–197 (2009). https://doi.org/10.1007/s11633-009-0192-6
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DOI: https://doi.org/10.1007/s11633-009-0192-6