Dynamic identification of a synchronous machine using an extended sliding mode observer

A.R. Meghnous, M.T. Pham and X. Lin-Shi

Mathematics and Computers in Simulation (MATCOM), 2013, vol. 90, issue C, 45-59

Abstract: This paper presents two identification methods for permanent magnet synchronous machine based on sliding modes. The first one is a new algorithm obtained from an identification technique based on an extended sliding mode observer and a least square solution using an instrumental variable. The second approach uses a direct identification algorithm using a sliding mode observer. Both techniques are tested in simulation and applied in experimentation on a synchronous motor. A comparison study is done in the aim of enhancing their performances.

Keywords: Nonlinear identification; Synchronous machine; Sliding modes; Extended observer; Instrumental variable (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:90:y:2013:i:c:p:45-59

DOI: 10.1016/j.matcom.2012.05.020

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