Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (1): 94-101.doi: 10.16182/j.issn1004731x.joss.17-0072

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Predictive Control for Permanent Magnet Synchronous Motor Based on IMC Observer

Ren Zhiling, Zhang Zhongbao, Hou Limin, Zhang Guangquan, Lin Dong, Zhao Xing   

  1. School of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China
  • Received:2017-02-03 Revised:2017-04-06 Online:2019-01-08 Published:2019-04-16

Abstract: Predictive control strategy is applied to permanent magnet synchronous motor control system, it can achieve fast dynamic response and high-precision tracking control, but depending on the mathematical model of the motor, the load disturbance will affect the control performance of system. A new control method combining an observer based on internal model control (IMC) and predictive control was presented. The inner-loop current controller and the outer-loop speed controller based separately on model predictive control algorithm and deadbeat current predictive control algorithm were designed to form dual-loop predictive control system. An IMC observer is designed to estimate the load disturbance, and torque-current compensation is produced as feedforward of speed loop to attenuate the disturbance. The simulation results show that the proposed method can improve the dynamic response performance and steady-state precision of the control system, and the robustness is greatly enhanced.

Key words: permanent magnet synchronous motor, model predictive control, deadbeat predictive control, internal model control, observer

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