Adaptive Neuro-Fuzzy Speed Controller for Vector Controlled Induction Motor Drive
نویسندگان
چکیده
This paper presents a novel adaptive neuro-fuzzy based speed controller for vector controlled induction motor drive. The proposed neuro-fuzzy controller incorporates fuzzy logic algorithm with a five-layer artificial neural network (ANN) structure. The conventional PI controller is replaced by Adaptive Neuro-Fuzzy Inference System (ANFIS), which tunes the fuzzy inference system with hybrid learning algorithm. This makes fuzzy system to learn. The performance of the proposed neuro-fuzzy based vector controlled induction motor drive is investigated at different operating conditions. The results of the proposed controller are also compared to those obtained by a conventional PI controller and Fuzzy Logic controller. The simulation study indicates robustness and suitability of drive for high performance drive applications.
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