Multiobjective fault detection and isolation for flexible air-breathing hypersonic vehicle

查看全文 作　　者：Xuejing Cai Fen [1]Wu

机构地区：[1]Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA

出　　处：《Journal of Systems Engineering and Electronics》索引2011年第22卷第1期,共11页

基　　金：supported by NASA (NNX07AC40A) 摘　　要：An application of the multiobjective fault detection and isolation(FDI) approach to an air-breathing hypersonic vehicle(HSV) longitudinal dynamics subject to disturbances is presented.Maintaining sustainable and safe flight of HSV is a challenging task due to its strong coupling effects,variable operating conditions and possible failures of system components.A common type of system faults for aircraft including HSV is the loss of effectiveness of its actuators and sensors.To detect and isolate multiple actuator/sensor failures,a faulty linear parameter-varying(LPV) model of HSV is derived by converting actuator/system component faults into equivalent sensor faults.Then a bank of LPV FDI observers is designed to track individual fault with minimum error and suppress the effects of disturbances and other fault signals.The simulation results based on the nonlinear flexible HSV model and a nominal LPV controller demonstrate the effectiveness of the fault estimation technique for HSV. 关键词：高超音速飞机故障检测多目标空气呼吸单纯疱疹病毒传感器故障纵向动力学

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Multiobjective fault detection and isolation for flexible air-breathing hypersonic vehicle

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