汽车侧倾角速度传感器的故障诊断和重构

针对汽车侧倾角速度传感器故障对控制系统的影响问题, 提出了一种基于模型的故障诊断和故障重构方法, 并给出了系统的理论证明。对于满足Lipchitz 条件的多输入多输出非线性系统, 可应用带有模型不确定性的一维线性状态方程作为其等效模型, 进行传感器的故障诊断。并在此基础上应用经典的观测器理论设计了残差生成器, 通过特征结构配置的方法, 证明了模型不确定性、执行器故障和干扰可以实现在残差中的完全去耦。采用整车的八自由度模型进行Simulink 仿真, 结果证明了结论的有效性。与其他方法相比, 笔者算法得到的残差具有很强的鲁棒性, 重构出的传感器信号具有很高的精度。

Fault Diagnosis and Reconfiguration for Vehicle Roll Rate Sensor

Aiming at the vehicle roll rate sensor fault, a new model based method was proposed, focusing on fault diagnosis and fault reconfiguration. Comparing with the traditional method, an exact proof is given, which gets the strong robust residual, and the high high-precision signal of the faulty sensor. The multi-input-multi-output nonlinear system, which fulfills the Lipchitz Condition, could be took place by a equivalent model which is a one-dimension linear state equation with a model uncertainty, in the sensor fault diagnosis problem. The residual generator is designed by the classical observer theory, and through the eigenstructure assignment theory,a proof is addressed that the model uncertainty, actuator fault and disturbance could be perfectly decoupled from residual. The effectiveness of the result in testified by the 8-dof model in Simulink.