Multi-Objective Optimal Design of a Toroidally Wound Radial-Flux Halbach Permanent Magnet Array Limited Angle Torque Motor

This paper presents the modeling, optimization, and validation of a toroidally wound radial-flux Halbach array permanent magnet limited angle torque motor. A fully parameterized and flexible equivalent magnetic circuit model of the proposed motor, which is arranged in a matrix form by means of Kirch...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2017-04, Vol.64 (4), p.2962-2971
Main Authors: Wu, Shuai, Zhao, Xiangyu, Jiao, Zongxia, Luk, Patrick Chi-Kwong, Jiu, Chenxiao
Format: Article
Language:English
Subjects:
Brushless motor
Coils
Computing time
Design optimization
direct current motors
Finite element method
finite-element analysis (FEA)
Halbach array
limited angle torque motor (LATM)
magnetic circuit
Magnetic circuits
multiobjective optimization (MOO)
Multiple objective analysis
Pareto optimization
Particle swarm optimization
Permanent magnet motors
Permanent magnets
Preliminary designs
Reluctance motors
Rotors
Stator windings
Torque
Torque motors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents the modeling, optimization, and validation of a toroidally wound radial-flux Halbach array permanent magnet limited angle torque motor. A fully parameterized and flexible equivalent magnetic circuit model of the proposed motor, which is arranged in a matrix form by means of Kirchhoff's current laws for computational efficiency and ease of extension, is introduced for preliminary design. To optimize the design, a multiobjective optimization process is carried out and the multiobjective particle swarm optimization method is used to obtain the Pareto front of the desired objectives. An approved solution in Pareto front is selected and validated by finite element analysis method. A prototype based on the final design is built and tested. The experiment results further underpin the effectiveness of the proposed design and optimization approach.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2016.2632067