NDLI: Sensorless control of interior permanent-magnet synchronous motors based on a fictitious permanent-magnet flux model

Content Provider	IEEE Xplore Digital Library
Author	Koonlaboon, S. Sangwongwanich, S.
Copyright Year	2005
Description	Author affiliation: Sch. of Eng. & Resources, Walailak Univ., Nakon Si Thammarat, Thailand (Koonlaboon, S.)
Abstract	Due to the saliency of the IPMSM, the model-based adaptive observer used in the sensorless control is nonlinear and difficult to analyze. With the extended EMF concept, the model though becomes partly linear, the extended EMF dynamic itself is very complicated making the application of an adaptive full-order observer troublesome. This problem is eliminated with a fictitious permanent-magnet flux model newly proposed in this paper for the IPMSM, because it converts the IPMSM into an equivalent SPMSM. The new model is simple, approximately linear and allows the adaptive observer algorithm to be applied easily. Also, the EMF induced by the fictitious magnet flux is exactly the fictitious EMF of the phasor diagram of the synchronous machine's two-reaction theory found in electrical machine textbooks. The initial rotor position can also be estimated easily from this fictitious EMF which always points in the d-axis at standstill. A novel sensorless scheme based on the proposed model is constructed, and its stability conditions are derived analytically to give design guidelines. Experiment results are given to verify the theoretical results.
Starting Page	311
Ending Page	318
File Size	351124
Page Count	8
File Format	PDF
ISBN	0780392086
ISSN	01972618
DOI	10.1109/IAS.2005.1518326
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Linear approximation Sensorless control Stators Synchronous motors Stability analysis Electronic mail Mathematical model Adaptive control Guidelines
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

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