Improved performance of sliding mode observer using parameter adaptation in sensorless IPMSM drive

Conference proceedings article

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Publication Details

Author list: Phowanna P., Boonto S., Mujjalinvimut E., Konghirun M., Lenwari W.

Publisher: Hindawi

Publication year: 2018

Volume number: 2018-February

Start page: 1635

End page: 1640

Number of pages: 6

ISBN: 9781538621035

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047407812&doi=10.1109%2fICIEA.2017.8283101&partnerID=40&md5=690a75a782aaa72333abed0054308553

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents a method for improving the performance of sliding mode observer (SMO) in sensorless interior permanent magnet synchronous motor (IPMSM) drive. Precise motor parameters are necessary for position estimation. Especially, in the case of the magnetic saturation, motor parameter error influences of the right motor parameter. In this proposed method, the recursive least square (RLS) method is used to identify the inductance parameters on the discrete-time model. Furthermore, the identified inductances are adapted to improve the performance of the system. Simulation results mainly verify the proposed method. ฉ 2017 IEEE.

Keywords

Recursive Least Square, Sliding Mode Observer