为改善传感器故障时汽车主动悬架控制效果,提出一种基于传感器信号重构的主动容错控制策略。建立了主动悬架7自由度整车模型和传感器故障时故障悬架模型。基于线性矩阵不等式法设计了自适应观测器和故障估计系统,进行故障在线估计。重构传感器信号并以传感器重构信号代替故障输出作为控制器输入,实施故障悬架容错控制。采用Matlab/Simulink对车身垂向加速度传感器进行仿真。结果表明:基于传感器信号重构的主动容错控制策略能较为准确地估计传感器故障,经短暂时滞后使故障悬架的性能逐渐恢复至与完好无故障主动悬架性能相接近的水平,进一步提高了主动悬架控制的可靠性和品质。
To improve the control effect of vehicle active suspension system with faulty sensor, an active fault tolerant control strategy based on sensor signal reconstruction is put forward. A 7-DOF vehicle model with active suspension and faulty suspension model with sensor's fault are built. The adaptive observer and fault estimation system are designed with linear matrix inequality technique to conduct on-line fault estimation. A simulation is performed on the sensor for the vertical acceleration of vehicle body with Matlab/Simulink. The results show that the active fault tolerant control strategy based on sensor signal reconstruction can relatively accurately estimate sensor's faults, and the performance of faulty suspension can gradually be rehabilitated to a level close to that of a normal active suspension after a short delay, further enhancing the reliability and quality of active suspension control.