Fault Detection for a Class of Closed-loop Hypersonic Vehicle System via Hypothesis Test Method

다국어 초록 (Multilingual Abstract)

This paper studies the fault detection problem for a class of hypersonic vehicle with actuator faults,disturbances and random noises. To handle the unknown disturbances, an unknown input Kalman filter (UIKF) ispresented to estimate the unknown system states and disturbances, simultaneously. Considering that the closed-loopstructure brings the robustness to the hypersonic vehicle, which could cover some faults, the Total Measurable FaultInformation Residual (ToMFIR) is employed as the fault detection residual. Moreover, to deal with the randomnoises, the hypothesis testing method is utilized to obtain the thresholds under some fault detection performances(false alarm rate and missing alarm rate). The fault detectability condition is also derived. Finally, the simulationsverify the effectiveness of the proposed fault detection method

참고문헌 (Reference)

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