针对传感器和执行器攻击的无人机动态目标跟踪安全轨迹规划。

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Wei Yue, Xiaoyong Zhang, Zhongchang Liu
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引用次数: 0

摘要

本文研究了无人飞行器在对抗环境下安全飞行轨迹的设计问题。主要目标是确保无人机即使在其传感器和执行器遭受无法察觉的攻击时也能保持预定轨迹。首先,建立了不可探测攻击的数学模型,明确了这些攻击不能被全球定位系统(GPS)和激光距离传感器(LDS)共同探测到的条件。然后,探讨了无人机在不可探测攻击下安全飞行轨迹的存在性和实现。提出了一种基于庞特里亚金极大值原理的安全轨迹规划策略。这种策略确保了无人机能够安全到达目的地,即使面对无法察觉的攻击。最后,通过数值仿真和硬件在环实验验证了所提策略的优越性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure trajectory planning for UAVs in dynamic target tracking against undetectable sensor and actuator attacks
This paper addresses the challenge of designing a secure flight trajectory for the unmanned aerial vehicle (UAV) in an adversarial environment. The main goal is to ensure the UAV can maintain the predetermined trajectory even when subjected to undetectable attacks on its sensors and actuators. First, the mathematical model of undetectable attacks is conducted, and the conditions under which these attacks cannot be jointly detected by the global positioning system (GPS) and the laser distance sensor (LDS) are specified. Then, the existence and implementation of secure flight trajectories for UAVs under undetectable attacks are explored. A strategy based on Pontryagin’s Maximum Principle is proposed to plan a safe trajectory. This strategy ensures that UAVs can safely reach their destinations, even when facing undetectable attacks. Finally, the superiority and effectiveness of the proposed strategies are proven through numerical simulations and hardware-in-the-loop (HIL) experiments.
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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