Control DC Motorspeed with Adaptive Neuro-Fuzzy control (ANFIS)

This paper presents an application of Adaptive Neuro-Fuzzy Inference System (ANFIS) control for DC motor speed. First, the controller is designed according to Fuzzy rules such that the systems are fundamentally robust. Secondly, an adaptive Neuro-Fuzzy controller of the DC motor speed is then designed and simulated; the ANFIS has the advantage of expert knowledge of the Fuzzy inference system and the learning capability of neural networks, a perfect speed tracking with no overshoot, give better performance and high robustness than those obtained by the fuzzy alone.

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