Abstract
This paper studies the design method of multiplicative fault diagnosis observer for a class of uncertain discrete-time linear time-varying systems. Compared with the traditional Kalman filter residual fault diagnosis method, it has good fastness and accuracy. Then, for the fault estimation gain in the traditional fault estimator, it is difficult to follow the time-varying of the system state. Using the recursive least squares and Kalman filter combined to estimate the system fault and the system state identification, so that the fault estimation gain can follow the system state change in real time. Improve the accuracy of fault estimation. The simulation results verify the feasibility and effectiveness of the proposed method.
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