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

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.

Control and Analysis of a Hybrid-Rotor Bearingless Switched Reluctance Motor with One-Phase Full-Period Suspension

“…Magnetic levitation technology is often used to solve the problem of mechanical bearing support for SRMs at high speeds [5]. A bearingless switched reluctance motor (BSRM) may simultaneously generate radial force and torque by integrating both active magnetic bearing and SRM functions into the same structure, and it then has a shorter axial length, high critical speed and superior high-speed performance, thus it is considered suitable for operation in ultra-clean environments or in intense temperature variations, such as centrifugal blood pumps, flywheel storage and starters/generators in aircraft engines [6][7][8].…”