Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives

• Published in: IEEE transactions on industry applications Vol. 41; no. 1; pp. 246 - 252
• Main Authors: Uddin, M.N., Abido, M.A., Rahman, M.A.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-01-2005; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Digital signal processor (DSP); Digital signal processors; Effectiveness; Fuzzy control; Fuzzy logic; genetic algorithm (GA); Genetic algorithms; interior permanent-magnet (IPM) motor; Laboratories; Microprocessors; Motor drives; Motors; Permanent magnet motors; Permanent magnets; Pi control; Proportional control; Real time; real-time implementation; Synchronous motors; vector control; Velocity control
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2004.840995

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.