Adaptive Fuzzy Inference System for Induction Motor Slip Control
نویسندگان
چکیده
In this paper a Fuzzy Logic Controller (FLC) is proposed for slip minimization and efficiency optimization for the induction motor. Two independent fuzzy logic controllers (FLCs) are implemented using ANFIS toolbox in Matlab Simulink environment. The first FLC is used to control the speed by taking the speed and the speed dervative as input to minimize the motor slip. The second FLC is used to search the minimum power in order obtain the optimized efficiency. A comparative study of this fuzzy logic based adaptive controller with a conventional PI controller is implemented in this paper. Simulated results show that the proposed controller provides high-performance dynamic characteristics and is robust with regard to plant parameter variations and external load disturbance.
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