Efficiency optimization of brushless permanent magnet motors using penalty genetic algorithms

Liang Yi Hsu, Mi-Ching Tsai, Chien Chin Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

This paper presents an optimal design method to maximize the efficiency of a brushless permanent magnet motor with an exterior rotor for blower system. A genetic algorithm is developed to find the optimal variables based on an objective function for the efficiency of the designed motor where the constraints and independent variables are given analytically with an equivalent magnetic circuit. Using the genetic algorithm and the equivalent magnetic circuit, it is possible to achieve a design to satisfy the desired performance requirements within a reasonable geometry. The finite element analysis is then used to confirm the optimality of the design. Computer simulation results are given to show the effectiveness of the proposed design process that can achieve a good prediction of the motor performance.

Original languageEnglish
Title of host publicationIEMDC 2003 - IEEE International Electric Machines and Drives Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages365-369
Number of pages5
Volume1
ISBN (Electronic)0780378172, 9780780378179
DOIs
Publication statusPublished - 2003
EventIEEE International Electric Machines and Drives Conference, IEMDC 2003 - Madison, United States
Duration: 2003 Jun 12003 Jun 4

Other

OtherIEEE International Electric Machines and Drives Conference, IEMDC 2003
CountryUnited States
CityMadison
Period03-06-0103-06-04

Fingerprint

Permanent magnets
Magnetic circuits
Genetic algorithms
Equivalent circuits
Blowers
Rotors
Finite element method
Geometry
Computer simulation
Optimal design

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Hsu, L. Y., Tsai, M-C., & Huang, C. C. (2003). Efficiency optimization of brushless permanent magnet motors using penalty genetic algorithms. In IEMDC 2003 - IEEE International Electric Machines and Drives Conference (Vol. 1, pp. 365-369). [1211289] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEMDC.2003.1211289
Hsu, Liang Yi ; Tsai, Mi-Ching ; Huang, Chien Chin. / Efficiency optimization of brushless permanent magnet motors using penalty genetic algorithms. IEMDC 2003 - IEEE International Electric Machines and Drives Conference. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2003. pp. 365-369
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Hsu, LY, Tsai, M-C & Huang, CC 2003, Efficiency optimization of brushless permanent magnet motors using penalty genetic algorithms. in IEMDC 2003 - IEEE International Electric Machines and Drives Conference. vol. 1, 1211289, Institute of Electrical and Electronics Engineers Inc., pp. 365-369, IEEE International Electric Machines and Drives Conference, IEMDC 2003, Madison, United States, 03-06-01. https://doi.org/10.1109/IEMDC.2003.1211289

Efficiency optimization of brushless permanent magnet motors using penalty genetic algorithms. / Hsu, Liang Yi; Tsai, Mi-Ching; Huang, Chien Chin.

IEMDC 2003 - IEEE International Electric Machines and Drives Conference. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2003. p. 365-369 1211289.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper presents an optimal design method to maximize the efficiency of a brushless permanent magnet motor with an exterior rotor for blower system. A genetic algorithm is developed to find the optimal variables based on an objective function for the efficiency of the designed motor where the constraints and independent variables are given analytically with an equivalent magnetic circuit. Using the genetic algorithm and the equivalent magnetic circuit, it is possible to achieve a design to satisfy the desired performance requirements within a reasonable geometry. The finite element analysis is then used to confirm the optimality of the design. Computer simulation results are given to show the effectiveness of the proposed design process that can achieve a good prediction of the motor performance.

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Hsu LY, Tsai M-C, Huang CC. Efficiency optimization of brushless permanent magnet motors using penalty genetic algorithms. In IEMDC 2003 - IEEE International Electric Machines and Drives Conference. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2003. p. 365-369. 1211289 https://doi.org/10.1109/IEMDC.2003.1211289