Abstract

In this paper a fast flux search controller based on the Neuro-fuzzy systems is proposed to achieve the best efficiency of a direct torque controlled induction motor at light load. In this method the reference flux value is determined through a minimization algorithm with stator current as objective function. This paper discusses and demonstrates the application of Neurofuzzy filtering to stator current estimation. Simulation and experimental results are presented to show the fast response of proposed controller.

Meeting Name

24th Annual IEEE Applied Power Electronics Conference and Exposition (2009: Feb. 15-19, Washington, DC)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Fuzzy Control; Induction Motor Drives; Machine Control; Neurocontrollers; Optimal Control; Stators; Torque Control; Direct Torque; Fast Flux; Fast Response; Flux Controllers; Induction Motor Drive; Light Loads; Minimization Algorithms; Neuro-Fuzzy; Neurofuzzy System; Objective Functions; Reference Flux Value; Search Controller; Stator Currents; Controllers; Electric Drives; Fuzzy Logic; Fuzzy Systems; Motors; Power Electronics; Stators; Induction Motors

International Standard Book Number (ISBN)

978-1424428113

International Standard Serial Number (ISSN)

1048-2334

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2009 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Feb 2009

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