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

Xunhong Lv, Yifan Fang, Zehui Mao, Bin Jiang*, and Ruiyun Qi
International Journal of Control, Automation, and Systems, vol. 19, no. 1, pp.350-362, 2021

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) is presented to estimate the unknown system states and disturbances, simultaneously. Considering that the closed-loop structure brings the robustness to the hypersonic vehicle, which could cover some faults, the Total Measurable Fault Information Residual (ToMFIR) is employed as the fault detection residual. Moreover, to deal with the random noises, 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 simulations verify the effectiveness of the proposed fault detection method.

Keyword : Closed-loop system, fault detection, hypersonic vehicle, unknown input Kalman filter

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