Fault Detection for A Class of Closed-loop Hypersonic Vehicle System via Hypothesis Test Method
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ISSN:1598-6446 eISSN:2005-4092 http://www.springer.com/12555
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 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. Keywords: Closed-loop system, fault detection, hypersonic vehicle, unknown input Kalman filter.
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INTRODUCTION
Currently, hypersonic vehicles are widely used in military and civilian fields. The hypersonic vehicle has the characteristics of fast flight speed, strong penetration ability and large payload. The requirement for the safety and reliability of the hypersonic vehicle is very strict because of the particularity of the flight mission and the complexity of the flight environment [1]. There are many methods developed to maintain the stability of hypersonic vehicles, such as PID control method [2, 3], adaptive control [4][6], fuzzy control [7], back-stepping control [8], sliding mode control [9], and predictive control [10]. These control methods are mainly designed for fault-free systems. If faults occur in sensors, actuators or airframes, the hypersonic vehicle may be crashed. Fault detection and faulttolerant control can increase the reliabilities of hypersonic vehicle systems. If faults could be detected timely and handled properly, the flight safety of the hypersonic vehicle can be ensured. There also exist many literatures for systems with fault such as [11–16]. However, few closed-loop fault detection methods for hypersonic vehicle have been developed. In [17], the sliding-mode observer is used based on T-S fuzzy model for hypersonic vehicle to generate the resid-
ual and detect the fault in the actuator. In [18], weighted tube-based model predictive control combined with multipurpose Luenberger state observer is applied to achieve passive fault accommodation. In [19], an active faulttolerant control method using the information from adaptive observer is introduced via T-S fuzzy model. In [20], an observer method based on linear parameter-varying model is proposed to deal with multi-objective fault detection and isolation in the system with disturbances. These methods use the commands of actuators and outputs of sensors as indication signa
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