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Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives

Nasir Uddin, M. and Abido, M. A. and Rahman, M. A. (2005) Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives. IEEE Transactions on Industry Applications, 41 (1). pp. 246-252.

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Abstract

This work presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.



Item Type:Article
Date:January 2005
Subjects:Electrical
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Nasir Uddin, M. and Abido, M. A. and Rahman, M. A.
Email:UNSPECIFIED, mabido@kfupm.edu.sa, UNSPECIFIED
ID Code:566
Deposited By:Obaid-Ur-Rehman Khattak
Deposited On:22 Mar 2008 10:49
Last Modified:12 Apr 2011 13:06

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