Adaptive sliding fault tolerant control for nonlinear uncertain active suspension systems

This paper is concerned with the fault tolerant control problem of nonlinear uncertain active suspension systems with constraint requirements. A novel adaptive sliding fault tolerant controller, which does depend on accurate models, is designed to stabilize the active suspension systems and thus to improve the ride comfort, without utilizing the bounds of actuator faults and parameter uncertainties. Furthermore, an H∞ optimization scheme based on differential evolution (DE) algorithm and linear matrix inequalities (LMIs) is introduced to design appropriate parameters of the sliding surface, which guarantees the constraint requirements of active suspension systems. Finally, simulation results are included to illustrate the effectiveness of the proposed strategy.