多故障的奇偶方程-参数估计诊断方法

提出一种将奇偶方程与参数估计相结合的多故障诊断方法。构造了一种新的奇俩方程，其产生的残差仅对一个传感器故障和一个执行器故障敏感。将传感器和执行器故障模型表示成刘度因子和偏差的形式，应用卡尔曼滤没方法对各故障模型参数进行估计。某型号飞机控制系统的仿真结果表明，新方法能对传感器故障和执行器故障同时存在的线性系统进行诊断，有效地估计出各故障的模型参数。

Approach for multiple faults diagnosis based on parity equation and parameter estimation

A new method for multiple faults diagnosis of control systems is presented based on parity equation and parameter estimation. Residual generated by a new parity equation is sensitive only to one special sensor fault and one special actuator fault signal. The faults in sensors and actuators are represented as biases and changes in scale factor. A parameter estimator based on Kalman filter is designed to identify the parameters from the information contained in the residuals. A simulation example on control system of an airplane is given for illustration. Results show that the new approach can be used to detect and identify the faults of multiple sensors and multiple actuators in linear systems.