Improved Rotor Flux-Based SMO and RBF-PID Control Strategy for PMSM-Reference-Cited by-同舟云学术

Improved Rotor Flux-Based SMO and RBF-PID Control Strategy for PMSM

Published:2023-08-15 Issue:8 Volume:12 Page:327
ISSN:2076-0825
Container-title:Actuators
language:en
Short-container-title:Actuators

Author:

Wang Weiyang¹,Liu Yongqing²,Chen Huipeng¹³,Gao Jian⁴,Zhu Shaopeng⁵⁶,Zhou Rougang¹⁷⁸

Affiliation:

1. School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310000, China

2. Mita Group Co., Ltd., Longqian 323700, China

3. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China

4. Polytechnic Institute, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China

5. Power Machinery & Vehicular Engineering Institute, College of Energy Engineering, Zhejiang University, Hangzhou 310058, China

6. Key Laboratory of Clean Energy and Carbon Neutrality of Zhejiang Province, Hangzhou 310013, China

7. Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325013, China

8. Mstar Technologies, Inc., Hangzhou 311121, China

Abstract

This paper proposes a control strategy that combines an improved flux-based sliding mode observer with a Radial Basis Function Proportional-Integral-Derivative (RBF-PID) controller for the control of Permanent Magnet Synchronous Motors (PMSM). The strategy aims to address the issues of electrical angle estimation errors and torque fluctuations in traditional sliding mode observer control. The improved sliding mode observer utilizes the flux model of the PMSM to enhance the accuracy of electrical angle estimation, thereby reducing the estimation errors and improving the control of the current loop and speed. The RBF-PID controller ensures system stability while achieving faster response and reduced torque fluctuations. Simulation and experimental results demonstrate that compared to traditional PI control and sliding mode observer control methods, the proposed strategy improves the performance of electrical angle estimation by 7.05% and reduces overshoot in the q-axis current by 28.6%, exhibiting better control performance and smaller errors.

Funder

Independent project of State Key Laboratory of Clean Energy Utilization

Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

Link

https://www.mdpi.com/2076-0825/12/8/327/pdf

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