Adaptive wavelet fuzzy cmac tracking control for induction servomotor drive system

In this study, a control system is proposed for the induction servomotor to achieve the highprecision speed tracking based on wavelet fuzzy cerebellar model articulation controller. In this proposed scheme, the wavelet fuzzy cerebellar model articulation controller (WFCMAC) is used to imitate an ideal controller due to it incorporates the advantages of the wavelet decomposition property with a fuzzy CMAC fast learning ability and the smooth compensator controller with bound estimation is designed to attenuate the effect of the approximation error caused by the WFCMAC approximator. The online tuning laws of WFCMAC and the smooth compensator with bound estimation parameters are derived in gradient-descent learning method and Lyapunov function so that the stability of the system can be guaranteed. Finally, through the experimental results of proposed control system is developed for induction servomotor is provided to verify the effectiveness of the proposed control methodology even the dynamical model of the induction servomotor is complete unknown.