
doi: 10.1155/2011/354980
handle: 10072/44668
This paper presents a simplified fuzzy logic-based speed control scheme of an interior permanent magnet synchronous motor (IPMSM) above the base speed using a flux-weakening method. In this work, nonlinear expressions ofd-axis andq-axis currents of the IPMSM have been derived and subsequently incorporated in the control algorithm for the practical purpose in order to implement fuzzy-based flux-weakening strategy to operate the motor above the base speed. The fundamentals of fuzzy logic algorithms as related to motor control applications are also illustrated. A simplified fuzzy speed controller (FLC) for the IPMSM drive has been designed and incorporated in the drive system to maintain high performance standards. The efficacy of the proposed simplified FLC-based IPMSM drive is verified by simulation at various dynamic operating conditions. The simplified FLC is found to be robust and efficient. Laboratory test results of proportional integral (PI) controller-based IPMSM drive have been compared with the simulated results of fuzzy controller-based flux-weakening IPMSM drive system.
2606 Control and Optimization, Fuzzy control/observation systems, Interior Permanent Magnet Synchronous Motor (IPMSM), 2207 Control and Systems Engineering, Applied mathematics, fuzzy logic-based speed control, Industrial electronics, TK1-9971, 629, QA76.75-76.765, flux-weakening method, Application models in control theory, Nonlinear systems in control theory, Electrical engineering. Electronics. Nuclear engineering, Computer software, 2605 Computational Mathematics
2606 Control and Optimization, Fuzzy control/observation systems, Interior Permanent Magnet Synchronous Motor (IPMSM), 2207 Control and Systems Engineering, Applied mathematics, fuzzy logic-based speed control, Industrial electronics, TK1-9971, 629, QA76.75-76.765, flux-weakening method, Application models in control theory, Nonlinear systems in control theory, Electrical engineering. Electronics. Nuclear engineering, Computer software, 2605 Computational Mathematics
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