Cerebellar model articulation controller for switched reluctance motor for electric vehicle applications

Electric cars are eco-friendly as they run on electrically powered engines and they also promote green environment. This paper describes the fuzzy cerebellar based articulation controller to regulate the speed of the switched reluctance motor (SRM) drive. The proposed controller comprises two parts - a compensating controller and a fuzzy cerebellar model articulation controller (CMAC). The fuzzy CMAC is used to approximate the system dynamics and the compensating controller remunerates the approximation error of fuzzy cerebellar model approximation controller. The parameters of the CMAC are adjusted online based on Lyapunov stability theory, so that both the error convergence and stability of the control system can be verified. The experimental result shows that the CMAC based control strategy was experimentally simulated and verified.