Failsafe Mechanism Design for Autonomous Aerial Refueling using State Tree Structures

K. Dong, Q. Quan, W. Wonham
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引用次数: 8

Abstract

Autonomous Aerial Refueling (AAR) is vulnerable to various failures and involves cooperation among autonomous receivers, tankers and remote pilots. Dangerous flight maneuvers may be executed when unexpected failures or command conflicts happen. To solve this problem, a failsafe mechanism based on State Tree Structures (STS) is proposed. The failsafe mechanism is a control logic that guides what subsequent actions the autonomous receiver should take, by observing real-time information of internal low-level subsystems such as guidance and drogue&probe and external instructions from tankers and pilots. To generate such a controller using STS, the AAR procedure is decomposed into several modes, and safety issues related with seven low-level subsystems are summarized. Then common functional demands and safety requirements are textually described. On this basis, the AAR plants and specifications are modeled by STS, and a supervisor is synthesized to control the AAR model. To prove its feasibility and correctness, a simulation environment incorporating such a logic supervisor is built and tested. The design procedures presented in this paper can be used in decision-making strategies for similar flight tasks. Supporting materials can be downloaded in Github, [ https://github.com/KevinDong0810/Failsafe-Design-for-AAR-using-STS ] including related software, input documents and output files.
基于状态树结构的自主空中加油故障安全机制设计
自主空中加油(AAR)容易出现各种故障,需要自主接收器、加油机和远程飞行员之间的合作。当发生意外故障或指挥冲突时,可能会进行危险的飞行演习。为了解决这一问题,提出了一种基于状态树结构(STS)的故障安全机制。故障安全机制是一种控制逻辑,通过观察内部低级子系统(如制导和探测器)的实时信息以及来自加油机和飞行员的外部指令,指导自主接收器应该采取的后续行动。为了使用STS生成这样的控制器,将AAR过程分解为几个模式,并总结了与七个低级子系统相关的安全问题。然后对常见的功能需求和安全需求进行了文字描述。在此基础上,利用STS对AAR对象和规格进行建模,并综合了一个监督器对AAR模型进行控制。为了证明其可行性和正确性,建立了一个包含该逻辑监控器的仿真环境并进行了测试。本文提出的设计方法可用于类似飞行任务的决策策略。支持资料可在Github上下载[https://github.com/KevinDong0810/Failsafe-Design-for-AAR-using-STS],包括相关软件、输入文档和输出文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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