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A robust adaptive reconfigurable flight control scheme for accommodation of control effector failures

机译:适应控制执行器故障的鲁棒自适应可重构飞行控制方案

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The authors present the proof of robustness of the newly developed Failure Detection and Identification (FDI) and Adaptive Reconfigurable Control (ARC) scheme for accommodation of control effector failures. The failures include lock-in-place and hard-over. The scheme is based on adaptive interacting multiple observers (AIMO) arising from the concept of multiple models, switching and tuning. The overall system consists of online FDI observers for all control effectors, plus one for the no-failure case, and corresponding adaptive reconfigurable controllers. It is shown that, in the case of control effector lock-in-place or hard-over and in the simultaneous presence of large sporadic disturbances, the scheme assures the boundedness of all signals in the system, guarantees asymptotic tracking, and ensures convergence of the failure-related parameter estimate to its true value. The scheme is tested on a linearized model of the Boeing's Tailless Advanced Fighter Aircraft (TAFA), augmented with position and rate limits on the control effectors, and resulted in an excellent overall response despite simultaneous presence of flight-critical failures and large external disturbances.
机译:作者提出了新开发的故障检测和识别(FDI)和自适应可重构控制(ARC)方案的鲁棒性,以适应控制效应器故障。失败包括就地锁定和故障转移。该方案基于源自多个模型,切换和调整概念的自适应交互多观察者(AIMO)。整个系统包括用于所有控制执行器的在线FDI观察器,再加上一个用于无故障情况的观察器,以及相应的自适应可重配置控制器。结果表明,在控制效应器就位锁定或硬切换的情况下,以及同时存在较大的零星干扰的情况下,该方案可确保系统中所有信号的有界性,确保渐近跟踪,并确保收敛。与故障相关的参数估计为其真实值。该方案在波音公司的无尾高级战斗机(TAFA)的线性模型上进行了测试,并增加了对控制执行器的位置和速率限制,尽管同时出现了飞行关键故障和较大的外部干扰,但仍可产生出色的总体响应。

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