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

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.