Adaptive Command Filtered Backstepping Control and its Application to Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

This paper introduces an adaptive command filtered backstepping control approach for lower triangular uncertain nonlinear dynamic systems. In this approach, the drawback of explosion of terms in the conventional adaptive backstepping control strategy is avoided. By using the Lyapunov stability analysis method, it is shown that all the closed-loop system signals are uniformly ultimately bounded (UUB) and the convergence of the system tracking errors to a small neighborhood of zero. The proposed adaptive filtered control strategy has been applied to a permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS) model. Numerical simulation results for the control of PMSG based WECS model are provided to highlight the performance of the adaptive command filtered based backstepping control strategy. The numerical simulations results clearly prove the efficiency of the proposed adaptive filtered control strategy.