Adaptive Sliding Mode Control for Window Regulator Based on RBF Neural Network

Abstract

This paper establishes the dynamic differential equation of three-wheel window regulator by LaGrange function considering kinetic energy, potential energy, dissipated energy of the system; it proposes an adaptive SMC method for the window regulator based on RBF neural network. A sliding mode controller based on RBF neural network is designed for the window regulator. The adaptive law is selected via Lyapunov function. Finally, the asymptotic stability of the sliding surface is proved by using LaSalle theorem.