Adaptive fuzzy practical prescribed-time fault-tolerant constraint control for active suspension systems against time-varying actuator faults

Active suspension systems improve vehicle ride comfort by actively regulating suspension parameters to adapt to varying driving conditions. However, the control of active suspension systems is confronted with challenges arising from parameter uncertainties, nonlinear dynamics and actuator faults. To address these issues, this paper proposes an adaptive fuzzy practical prescribed-time constrained control method for active suspension systems in the presence of time-varying actuator faults. A fuzzy logic system with adaptive parameter estimation is adopted to approximate the unknown nonlinear dynamics and lumped uncertainties of the system. The controller design takes actuator faults into account to achieve targeted control for fault scenarios. In addition, a novel adaptive modulation function is developed to adjust the controller output amplitude and suppress overshoot. Through rigorous Lyapunov-based analysis, the uniform ultimate boundedness of all closed-loop signals is guaranteed. Simulation and experimental results under multiple operating conditions demonstrate the effectiveness of the proposed control method in complex road environments, thus providing a reliable technical solution for the engineering application of active suspension systems.