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Observer-based fault-tolerant control for an air-breathing hypersonic vehicle model

机译:航空高超声速飞行器模型的基于观测器的容错控制

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This paper focuses on controller and observer design for the longitudinal model of an airbreathing hypersonic vehicle (AHV) subject to actuator faults and limited measurements of the states. The feedback linearization method is firstly employed for a modified AHV model with actuator faults, and dynamic effect caused by the actuator faults on the linearized model is analyzed. Based on full state information, an adaptive controller is designed using the Lyapunov method, which guarantees reference command tracking of the AHV under actuator faults. Next, to estimate the unmeasurable states used in the adaptive controller, a sliding observer is designed based on the sliding control method and the Filippov’s construction of the equivalent dynamics (FCED). Finally, the adaptive controller is combined with the sliding observer to generate the observer-based adaptive controller, which relies only on partial state information. Simulations demonstrate that the observer-based adaptive controller achieves desired tracking performance and good robustness in the presence of actuator faults.
机译:本文着重于呼吸高超声速飞行器(AHV)的纵向模型的控制器和观察器设计,该模型受执行器故障和状态的有限测量的影响。首先将反馈线性化方法应用于具有执行器故障的改进的AHV模型,并分析了执行器故障对线性化模型的动态影响。基于全部状态信息,使用李雅普诺夫方法设计了一种自适应控制器,该控制器可确保在执行器故障下对AHV进行参考命令跟踪。接下来,为了估计自适应控制器中使用的不可测量状态,基于滑动控制方法和Filippov的等效动力学(FCED)构造设计了一个滑动观察器。最后,将自适应控制器与滑动观测器组合在一起,以生成仅基于部分状态信息的基于观测器的自适应控制器。仿真表明,在存在执行器故障的情况下,基于观察者的自适应控制器可实现所需的跟踪性能和良好的鲁棒性。

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