Wavelet-neural-network Based Robust Sliding-mode Control for Induction Motor ⋆
نویسندگان
چکیده
This paper presented a speed estimation and control strategy for induction motor drive based on an indirect field-oriented control. The rotor speed estimator based on a wavelet-neural-network utilized stator voltage and current measured values to calculate the rotor speed, and the control approach based on a sliding-mode controller with an integral sliding surface was proposed in order to regulate the induction motor speed. The stability analysis of the proposed control approach under parameter variations and load disturbances was provided using the Lyapunov’s stability arguments. Simulation results show that the presented scheme provides high-performance dynamic characteristics and that this approach is robust with respect to plant parameter uncertainties and external load disturbances.
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