一种用于预防和恢复无人机失控的自主飞行管理系统

Yue Zhao, J. J. Zhu
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引用次数: 1

摘要

提出了一种无人机自主集成失控预防与恢复(iLOCPR)系统,该系统具有四种工作模式:一种基于轨迹线性化控制的六自由度轨迹跟踪标称模式;在易发生失稳的飞行条件下,通过对基准标称控制器的带宽自适应增强设计失稳预防模式,以增加稳定裕度;通过重新配置控制器来恢复并保持健康的飞行气动角度,同时暂时放弃轨迹跟踪任务的LOC捕获模式;一个恢复模式,引导飞行器在LOC捕获成功后回到任务轨道。设计了一种监督离散事件驱动的自动飞行管理系统(AFMS),根据实时感知的飞行状况,通过协调和切换控制模式,自主地重新配置飞行控制器。为验证模式切换的有效性和iLOCPR系统的性能,给出了包含标称轨迹跟踪、LOC预防、LOC捕获和任务恢复的完整综合仿真。在未来的发展中,该框架可以进一步增强自动容错和避碰能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An autonomous flight management system for prevention and recovery of unmanned aerial vehicle loss-of-control
An autonomous integrated Loss-of-Control (LOC) Prevention and Recovery (iLOCPR) system for UAVs is proposed with four operation modes: a nominal mode designed for 6 degree-of-freedom (DOF) trajectory tracking by trajectory linearization control; a LOC prevention mode designed by bandwidth adaptation augmentation to the baseline nominal controller for increasing the stability margin in the presence of LOC-prone flight conditions; a LOC arrest mode by reconfiguring the controller to recover and maintain healthy flight aerodynamic angles while temporarily giving up the trajectory tracking mission; a restoration mode to guide the vehicle back to the mission trajectory after successful LOC arrest. A supervisory discrete-event-driven automatic flight management system (AFMS) is designed to autonomously reconfigure the flight controller by coordinating and switching the control modes according to the real-time sensed flight conditions. A full comprehensive simulation entailing the nominal trajectory tracking, LOC prevention, LOC arrest and mission restoration is provided to demonstrate the effectiveness of modes switching and the performance of the iLOCPR system. The proposed framework can be further augmented for autonomous fault tolerance and collision avoidance in future development.
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