LQR state feedback controller based on particle swarm optimization for IPMSM drive system

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Author list: Paponpen K., Konghirun M.

Publisher: Hindawi

Publication year: 2015

Start page: 1175

End page: 1180

Number of pages: 6

ISBN: 9781467373173

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960910564&doi=10.1109%2fICIEA.2015.7334285&partnerID=40&md5=aec8e6f36926908bd39bd182a5e34906

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents a LQR state feedback controller for speed controlled drive system of interior permanent magnet synchronous motor (IPMSM). Nonlinear mathematical model of IPMSM is linearized by means of quadratic linearization method. Controller's gains are tuned by optimizing weighting matrices through particle swarm optimization. The proposed method accomplishes both desirable control performances and robustness to the parameter variations. These outstanding features of the proposed method are mainly verified by simulation results. ฉ 2015 IEEE.

Keywords

Interior Permanent Magnet Synchronous Motor, Linear Quadratic Regulation, Particle Swarm Obtimization, State-Feedback Controller