基于键合图的鲁棒故障诊断及容错控制

研究了一种基于键合图(BG)建模的混杂系统鲁棒诊断和容错控制算法。在BG理论的基础上,针对混杂系统存在参数不确定性问题。首先,设计了系统鲁棒诊断观测器,将线性分式变化的键合图(BG-LFT)和比例积分(PI)观测器结合实现鲁棒故障诊断和故障估计。该观测器能实时跟踪系统变量的动态行为,有效降低误报率和漏报率,改善检测效果。然后,提出基于状态及故障估计的主动容错控制算法(AFTC),保证系统发生故障时仍能稳定运行。最后,通过仿真验证了该方法的有效性和可行性。

Robust Fault Diagnosis and Fault Tolerant Control Based on Bond Graph

A hybrid system robust diagnostic observer and fault tolerant control algorithm based on bond graph(BG) modeling are studied. On the basis of BG theory, there is the problem of parameter uncertainty for hybrid systems. First, the design of robust observer system, a bond graph in linear fractional transformation (BG-LFT) and proportional integral (PI) observer are combined to make robust fault diagnosis and fault estimation of the system. The observer can track the dynamic behavior of system variables in real time and effectively reduce false alarm rate and false negative rate to improve the detection effect. Then, an active fault tolerant controller (AFTC) based on state and fault estimation is proposed to ensure stable operation in the event of a system failure. Finally, the validity and feasibility of the method are verified by simulation.