Switching-off angle control for switched reluctance motor using adaptive neural fuzzy inference system
نویسندگان
چکیده
Switched reluctance motors (SRM) have a wide range of applications in industries due to the special properties of this motor. However, because of its dynamical nonlinearities, so the problems control of SRM is complex. This paper proposed an adaptive intelligent controller for SRM with the aim to improve the ripple of torque. First, we use a fuzzy logic controller to control switch-off angle, and then proposes a new controller by means of Adaptive Neural Fuzzy Inference (ANFIS). Simulation results are given to show the efficacy of the proposed method.
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