A Novel Motor Structure with Extended Particle Swarm Optimization for Space Robot Control

Author:

Gao Hongwei1,Liu Zide1,Wang Xuna1,Li Dongyu1,Zhang Tian2,Yu Jiahui3,Wang Jianbin45

Affiliation:

1. School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang 110000, China

2. Beijing Bolean Intelligence Technology Co., Ltd., Beijing 100000, China

3. Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China

4. Ocean College, Zhejiang University, Hangzhou 316021, China

5. China Telecom Zhejiang Branch, Hangzhou 310014, China

Abstract

This paper studies motor structures and optimization methods for space robots, proposing an optimized stepped rotor bearingless switched reluctance motor (BLSRM) to solve the poor self-starting ability and significant torque fluctuation issues in traditional BLSRMs. Firstly, the advantages and disadvantages of the 12/14 hybrid stator pole type BLSRM were analyzed, and a stepped rotor BLSRM structure was designed. Secondly, the particle swarm optimization (PSO) algorithm was improved and combined with finite element analysis for motor structure parameter optimization. Subsequently, a performance analysis of the original and new motors was conducted using finite element analysis software, and the results showed that the stepped rotor BLSRM had an improved self-starting ability and significantly reduced torque fluctuation, verifying the effectiveness of the proposed motor structure and optimization method.

Funder

Liaoning Province Higher Education Innovative Talents Program

Liaoning Province Joint Open Fund for Key Scientific and Technological Innovation Bases

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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