Title :
Real-time performance evaluation of a genetic algorithm based fuzzy logic controller for IPM motor drives
Author :
Uddin, M. Nasir ; Abido, M.A. ; Rahman, M.A.
Author_Institution :
Dept. of Electr. Eng., Lakehead Univ., Thunder Bay, Ont., Canada
Abstract :
This paper 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 PI controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be a robust for high performance industrial drive applications.
Keywords :
angular velocity control; digital control; digital signal processing chips; genetic algorithms; machine vector control; permanent magnet motors; real-time systems; robust control; synchronous motor drives; two-term control; 1 hp; PI controller; digital signal processor board DS 1102; fuzzy logic controller; genetic algorithm; interior permanent magnet synchronous motor drive; operating conditions; robust controller; vector control; Fuzzy logic; Genetic algorithms; Motor drives; Permanent magnet motors; Pi control; Proportional control; Robustness; Rotors; Sliding mode control; Velocity control;
Conference_Titel :
Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the
Print_ISBN :
0-7803-7883-0
DOI :
10.1109/IAS.2003.1257601
