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.
N. Sadati et al., "Online Optimal Neuro-Fuzzy Flux Controller for DTC Based Induction Motor Drives," Proceedings of the 24th Annual IEEE Applied Power Electronics Conference and Exposition (2009, Washington, D.C.), pp. 210-215, Institute of Electrical and Electronics Engineers (IEEE), Feb 2009.
The definitive version is available at https://doi.org/10.1109/APEC.2009.4802657
24th Annual IEEE Applied Power Electronics Conference and Exposition (2009: Feb. 15-19, Washington, DC)
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)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2009 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Feb 2009