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Author:

Yin, Kaixuan (Yin, Kaixuan.) | Gao, Lin (Gao, Lin.) | Chen, Rui (Chen, Rui.) | Feng, Zhiyu (Feng, Zhiyu.)

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Abstract:

Aiming at the problems of steady-state error and low operating efficiency caused by parameter disturbance in deadbeat current predictive control system of PMSM, an improved deadbeat current predictive control with active disturbance rejection is proposed. Through analyzing the principle of current static error in two-step deadbeat current predictive control with time-varying parameters, a second-order variable-speed sliding mode disturbance observer is proposed, which can completely eliminate the current steady-state error and improve the dynamic tracking performance of the system. The sliding surface of the observer adopts the second-order variable-speed reaching law and effectively suppresses the chattering of the system. Simulation comparisons were carried out for the traditional deadbeat current predictive control, predictive model with first-order linear extended observer and predictive control with second-order variable-speed sliding mode disturbance observer. The effectiveness of proposed scheme in eliminating steady-state error, reducing current distortion rate and torque ripple is verified. The robustness and efficiency of the system have also been improved. © 2021 ACM.

Keyword:

Disturbance rejection Efficiency Errors Model predictive control Predictive analytics Robotics Synchronous motors Time varying control systems

Author Community:

  • [ 1 ] [Yin, Kaixuan]School of Electrical Engineering, Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 2 ] [Gao, Lin]School of Electrical Engineering, Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 3 ] [Chen, Rui]School of Electrical Engineering, Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 4 ] [Feng, Zhiyu]School of Electrical Engineering, Xi'an Jiaotong University, Xi'an; 710049, China

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Year: 2021

Page: 41-47

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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