Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach

TLDR

The model incorporates varying sprung and unsprung masses, unknown actuator nonlinearity, and suspension performance. The paper addresses adaptive sliding‑mode control of nonlinear active suspension systems using a Takagi‑Sugeno fuzzy approach. A Takagi‑Sugeno fuzzy model represents the nonlinear suspension dynamics, and an adaptive sliding‑mode controller is designed using a stability condition that can be formulated as a convex optimization problem. Simulations on a half‑vehicle active suspension model confirm the effectiveness of the proposed control scheme.

Abstract

This paper deals with the adaptive sliding-mode control problem for nonlinear active suspension systems via the Takagi-Sugeno (T-S) fuzzy approach. The varying sprung and unsprung masses, the unknown actuator nonlinearity, and the suspension performances are taken into account simultaneously, and the corresponding mathematical model is established. The T-S fuzzy system is used to describe the original nonlinear system for the control-design aim via the sector nonlinearity approach. A sufficient condition is proposed for the asymptotical stability of the designing sliding motion. An adaptive sliding-mode controller is designed to guarantee the reachability of the specified switching surface. The condition can be converted to the convex optimization problems. Simulation results for a half-vehicle active suspension model are provided to demonstrate the effectiveness of the proposed control schemes.