This chapter focuses on H∞, fuzzy control of suspension systems under actuator saturation. The Takagi-Sugeno (T-S) approach is used to model the suspension system (quarter, half and full cars) by interpolation of different local linear models. A nonlinear state feedback control parallel distributed compensation (PDC) is employed for designing control system. The main idea of this controller consists in designing a linear feedback control for each local linear model. To address the input saturation problem, both constrained and saturated control input cases are proposed. In the two cases, H∞, stabilization conditions are derived using Lyapunov method. Moreover, a controller design with the largest domain of attraction is formulated and solved as a linear matrix inequality optimization problem. An application to quarter-car suspension system is given. Our simulation results show that both saturated and constrained controls can stabilize the resulting closed-loop suspension quarter car via PDC control and eliminate the effect of external disturbances despite the presence of saturation. Indeed, the main roles of car suspension systems which consist of improving ride comfort of passengers and the road holding capacity of the vehicle are achieved.
H ∞ fuzzy control of suspension systems with actuator saturation, Page 1 of 2
< Previous page Next page > /docserver/preview/fulltext/books/ce/pbce092e/PBCE092E_ch8-1.gif /docserver/preview/fulltext/books/ce/pbce092e/PBCE092E_ch8-2.gif