Adaptive finite-time fuzzy prescribed performance fault-tolerant control for uncertain active suspensions with actuator nonlinear characteristics

Designing a robust and efficient active suspension control system contributes to improving comfort by suppressing vibration caused by uneven road conditions. This paper proposes an adaptive fuzzy fault-tolerant control method to cope with complex road conditions, unknown actuator nonlinearities, and external disturbances while achieving finite-time convergence performance. The invertible transformation is employed to ensure performance constraints. In addition, the fuzzy logic system is used to approximate the nonlinear uncertain dynamics, which significantly improves the adaptive capability and achieves satisfactory ride comfort under complex road conditions. Moreover, the suspension system remains stable and reliable even with dead zone nonlinearities and unknown actuator faults. Finally, the superior performance of the control approach under complex road conditions is verified through comparative simulations under multiple scenarios.