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

机译:柔性呼吸高超声速飞行器多目标故障检测与隔离

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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.

著录项

  • 来源
    《系统工程与电子技术(英文版)》 |2011年第1期|52-62|共11页
  • 作者

    Xuejing Cai; Fen Wu;

  • 作者单位

    Department of Mechanical and Aerospace Engineering North Carolina State University Raleigh NC 27695 USA;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类
  • 关键词

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