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Cooperative actuator fault accommodation in formation flight of unmanned vehicles using relative measurements

机译:使用相对测量在无人飞行器编队飞行中协调执行器故障

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摘要

In this article, the cooperative fault accommodation in formation flight of unmanned vehicles is investigated through a hierarchical framework. Three levels are envisaged, namely a low-level fault recovery (LLFR), a formation-level fault recovery (FLFR) and a high-level (HL). In the LLFR module, a recovery controller is designed by using an estimate of the actuator fault. A performance monitoring module is introduced at the HL hierarchy to identify a partially low-level (LL) recovered vehicle due to inaccuracy in the fault estimate which results in violating the error specification of the formation mission. The HL supervisor then activates the FLFR module to compensate for the performance degradations of the partially LL recovered vehicle at the expense of the other healthy vehicles. Both centralised and decentralised control approaches are developed for our proposed cooperative fault recovery technique. A robust H∞ controller is designed in which the parameters of the controller are adjusted to accommodate for the partially LL-recovered vehicle by enforcing that the other healthy vehicles allocate more control effort to compensate for the performance degradations of the faulty vehicle. Numerical simulations for a formation flight of five satellites are provided in the deep space, which do indeed confirm the validity and effectiveness of our proposed analytical work.
机译:本文通过分层框架研究了无人飞行器编队飞行中的协同故障处理。设想了三个级别,即低层故障恢复(LLFR),地层级故障恢复(FLFR)和高层(HL)。在LLFR模块中,通过使用执行器故障的估计来设计恢复控制器。在HL层次上引入了性能监视模块,以识别由于故障估计不准确而导致违反编队任务的错误规范的部分低级(LL)回收车辆。然后,HL监督员激活FLFR模块,以补偿部分LL回收车辆的性能下降,但要以其他健康车辆为代价。集中式和分散式控制方法均针对我们提出的协作式故障恢复技术而开发。设计了一种鲁棒的H∞控制器,在该控制器中,通过强制其他健康车辆分配更多的控制力来补偿故障车辆的性能下降,来调整控制器的参数以适应部分恢复LL的车辆。在深空提供了五颗卫星编队飞行的数值模拟,确实证实了我们提出的分析工作的有效性和有效性。

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