Design of the Adaptive Sliding Recurrent Cerebellar Model Articulation Controller for Vector Control Systems of Induction Motor

In this study, a sliding surface and compensated controller are incorporated into a recurrent cerebellar model articulation controller (RCMAC) to form the proposed adaptive sliding recurrent cerebellar model articulation controller (ASRCMAC). The RCMAC has the property of recurrent architecture, which considers dynamic characteristics to the originally static cerebellar model articulation controller (CMAC); moreover, a compensated controller is used to compensate the differences between RCMAC and ideal control quantities. Finally, the adaptive laws are derived by Lyapunov theory to ensure the system stability. The proposed ASRCMAC is incorporated into an induction motor vector control system to serve as a speed controller. The experiments carry out in which control results obtained using the ASRCMAC compared to those obtained using a fuzzy CMAC (FCMAC). According to the root mean square error (RMSE) index, the ASRCMAC effectively enhances the dynamic response of the system.