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Hybrid Sensor-Based Backstepping Control Approach with Its Application to Fault-Tolerant Flight Control

机译:基于混合传感器的反推控制方法及其在容错飞行控制中的应用

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摘要

Recently, an incremental-type sensor-based backstepping control approach, based on singular perturbation theory and Tikhonov's theorem, has been proposed. This Lyapunov-function-based method uses measurements of control variables and less model knowledge, and it is not susceptible to the model uncertainty caused by fault scenarios. In this paper, the sensor-based backstepping method has been implemented on a fixed-wing aircraft with its focus on handling structural changes caused by damages. A new hybrid autopilot flight controller has been developed for a Boeing 747-200 aircraft after combining nonlinear dynamic inversion with the sensor-based backstepping control approach. Two benchmarks for fault-tolerant flight control, named rudder runaway and engine separation, are employed to evaluate the proposed method. The simulation results show that the proposed control approach leads to a zero tracking-error performance in nominal condition and guarantees the stability of the closed-loop system under failures as long as the reference commands are located in the safe flight envelope.
机译:近来,已经提出了基于奇异摄动理论和Tikhonov定理的基于增量型传感器的反推控制方法。这种基于李雅普诺夫函数的方法使用控制变量的度量和较少的模型知识,并且不易受故障情况引起的模型不确定性的影响。在本文中,基于传感器的反推方法已经在固定翼飞机上实现,其重点是处理由损坏引起的结构变化。在将非线性动态反演与基于传感器的反推控制方法相结合之后,为波音747-200飞机开发了一种新型混合自动驾驶飞行控制器。容错飞行控制的两个基准被称为舵失控和发动机分离,被用来评估该方法。仿真结果表明,所提出的控制方法在标称条件下可实现零跟踪误差性能,并且只要参考指令位于安全飞行范围内,就可以保证闭环系统在故障情况下的稳定性。

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  • 来源
    《Journal of guidance, control, and dynamics》 |2014年第1期|59-71|共13页
  • 作者单位

    Delft University of Technology, 2600 GB Delft, The Netherlands,Control and Simulation Division, Faculty of Aerospace Engineering, P.O. Box 5058;

    Delft University of Technology, 2600 GB Delft, The Netherlands,Control and Simulation Division, Faculty of Aerospace Engineering, P.O. Box 5058;

    Delft University of Technology, 2600 GB Delft, The Netherlands,Control and Simulation Division, Faculty of Aerospace Engineering, P.O. Box 5058;

    Delft University of Technology, 2600 GB Delft, The Netherlands,Control and Simulation Division, Faculty of Aerospace Engineering, P.O. Box 5058;

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