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- W2349853816 abstract "A novel model reference adaptive control (MRAC) system was introduced based on the fuzzy control technology. Adaptive control theory obtained by fuzzy basis function expansion results in fuzzy model reference adaptive control (FMRAC) systems. Fuzzy logic is used in the development of the knowledge base and for decision making, in the two techniques. In one way, the fuzzy logic inference system is employed as main controller for substituting the feedback controller in the MRAC. In the other way, the fuzzy adaptive mechanism is formed to tune weight factor of the control force to the plant with special adaptation algorithm. The main advantage of the proposed approach is simplicity together with high performance. As applied to permanent magnet synchronous motor (PMSM) speed control system, in which the extended Kalman filter(EKF) algorithm is used to measure rotor position and motor speed to attain sensorless control, the reasonability and validity of the proposed algorithm is testified by the simulational results based on MATLAB." @default.
- W2349853816 created "2016-06-24" @default.
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- W2349853816 date "2006-01-01" @default.
- W2349853816 modified "2023-09-24" @default.
- W2349853816 title "Investigation to Simulation of Fuzzy Model Reference Adaptive Control Strategy of PMSM Based on EKF" @default.
- W2349853816 hasPublicationYear "2006" @default.
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