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.
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.
|Divisions:||College Of Engineering Sciences > Electrical Engineering Dept|
|Creators:||Nasir Uddin, M. and Abido, M. A. and Rahman, M. A.|
|Email:||UNSPECIFIED, email@example.com, UNSPECIFIED|
|Deposited By:||Obaid-Ur-Rehman Khattak|
|Deposited On:||22 Mar 2008 10:49|
|Last Modified:||12 Apr 2011 13:06|
Repository Staff Only: item control page