The fuzzy sliding mode controller design of a fan-plate system

This paper first proposed a sliding mode angle control with fuzzy estimator for a fan-plate system. The advantages of this control strategy are following. The robustness is ensured when the uncertainty appeared and the unknown lumped uncertainty is estimated by fuzzy estimator therefore the exactly parameters are unnecessary. The Lyapunov stability theorem is used to guarantee the convergence and track efficacy. Finally, we employed the experiments to validate the proposed method is feasible.