Paper
27 June 2022 PMSM position tracking based on improved sliding mode reaching law and nonlinear disturbance observer
Hongliang Yan, Jianan Zhang, Hulin Long
Author Affiliations +
Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122530J (2022) https://doi.org/10.1117/12.2639381
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China
Abstract
In order to improve the position tracking accuracy and system control performance of permanent magnet synchronous motor in a complex environment, an improved backstepping sliding mode position tracking control method based on traditional sliding mode control is proposed. The sliding mode reaching law is optimized, the exponential reaching law is combined with the power reaching law, and the traditional symbolic function is replaced by the hyperbolic tangent function. According to the backstepping control principle, the appropriate Lyapunov function and virtual control quantity are obtained, and the position servo system controller is obtained by combining the sliding mode control. Aiming at the influence of parameter perturbation and external uncertain disturbance on the motor, the nonlinear disturbance observer is used to estimate it and feedback it to the backstepping sliding mode controller for compensation. Finally, the simulation in Matlab/Simulink shows that this method improved the response speed of position tracking, reduced the tracking error, and improved the anti-interference ability.
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Hongliang Yan, Jianan Zhang, and Hulin Long "PMSM position tracking based on improved sliding mode reaching law and nonlinear disturbance observer", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122530J (27 June 2022); https://doi.org/10.1117/12.2639381
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KEYWORDS
Control systems

Complex systems

Device simulation

Composites

Servomechanisms

Nonlinear control

Control systems design

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