Adaptive Memory-Event-Triggered Fuzzy Fault-Tolerant Control for Active Suspension System of In-Wheel Motor Driven Electric Vehicles

This article proposes an adaptive memory-event-triggered fuzzy fault-tolerant control algorithm for the active suspension systems of in-wheel motor-driven electric vehicles featuring an advanced dynamic vibration absorber. Firstly, an interval type-2 Takagi-Sugeno fuzzy model is employed to describe the suspension system with high nonlinearity and parameter uncertainties. Secondly, to further save the communication bandwidth, an adaptive memory-event-triggered mechanism is proposed via assembling a buffer between the sensor and controller. The buffer can accommodate the historical packets to avoid discarding useful information while excluding more redundant packets. Additionally, the trigger threshold can be adjusted adaptively to balance the packet release rate according to the system output. Moreover, recognizing the inevitable actuator failures, a fault-tolerant control strategy is proposed to maintain the practical robustness and feasibility of the method. Finally, the effectiveness of the proposed method is examined via simulation and experimental results under various road excitations.