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. APEC '09

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Fuzzy Control; Induction Motor Drives; Machine Control; Neurocontrollers; Optimal Control; Stators; Torque Control

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.

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