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Performance Analysis of Flux-Switching Stator Permanent Magnet Motor Based on Linear Active Disturbance Rejection Control

  • Kelei Wang
  • Zengqiang Chen
  • Mingwei Sun
  • Qinglin Sun
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)

Abstract

Flux-switching permanent magnet motor (FSPMM) is a new stator permanent magnet brushless motor. It overcomes many shortcomings of the conventional permanent magnet motor having magnets in the rotor and has a well application prospect. The three-phase 12-slots/10-poles FSPMM is used as the control object. On the basis of the working principles, the mathematical models have deduced and the mechanical properties are calculated. The characteristics of the electromagnetic are analysed by setting up the steady and dynamic-state models of the FSPMM. Linear Active Disturbance Rejection Control (LADRC) is designed in the speed loop of the FSPMM to realize the linear control of the nonlinear system. By using the Linear Extended State Observer (LESO), the total disturbances can be estimated and compensated in real time. The performance robustness is verified by the Monte Carlo experiments of the two control strategies, including the LADRC algorithm, and the traditional PI control strategy. The results show that LADRC strategy has a greater capability of disturbance rejecting and stronger performance robustness.

Keywords

Flux-switching permanent magnet motor Speed control algorithm Linear active disturbance rejection control Linear extented state observer robustness Monte Carlo 

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61573199 and 61573197) and the Tianjin Municipal Natural Science Foundation (Grant No. 14JCYBJC18700).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Kelei Wang
    • 1
  • Zengqiang Chen
    • 1
    • 2
  • Mingwei Sun
    • 1
  • Qinglin Sun
    • 1
  1. 1.College of Computer and Control EngineeringNankai UniversityTianjinChina
  2. 2.Key Lab of Intelligent Robotics of TianjinTianjinChina

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