Study on Sliding Mode Speed Control with RBF Network Approach for Doubly-Fed Induction Motor

A nonlinear speed controller for doubly-fed induction motor (DFIM) was designed to counter the effects of the coupling between the electromagnetic torque and the flux. The controller was composed of sliding mode approach, backstepping control, and RBF network approach. The backstepping control was used to implement the precision control. The proposed strategy used RBF network to realize the self-adjusting switching control which could enhance the robustness adaptively compare with conventional sliding mode control. A simulation model for the doubly-fed induction motor control system using the designed controller was built. The simulation results show that the controller can achieve fine speed tracing performance and robustness against parameter variations and load torque disturbance.