具有固有安全的柔性目标封闭三维制导律

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Praveen Kumar Ranjan;Abhinav Sinha;Yongcan Cao
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引用次数: 0

摘要

在本文中,我们解决了由单个跟踪器在三维空间中包围任意移动目标的问题,同时通过防止与目标碰撞来保证跟踪器的安全。所提出的制导策略将跟踪器引导到目标周围和不包括目标的空间安全区域,使其与目标保持一定距离,同时在定位和收敛到该安全区域内的任何轨道方面提供更大的灵活性。我们利用李雅普诺夫势障函数的概念作为一个强大的工具,将追踪者和目标之间的距离限制在非对称范围内,从而确保追踪者在预定义区域内的安全。此外,我们证明了所提出的制导律在管理任意机动目标和其他不确定因素(如车辆/自动驾驶仪动力学和外部干扰)方面的有效性,使追踪者能够在必要时通过在安全区域内的稳定封闭轨迹之间切换来始终如一地实现稳定的全局封闭行为,甚至在应对侵略性目标机动时也是如此。为了证明我们工作的优点,我们对各种工厂模型进行了实验测试,包括软件在环(SITL)模拟中的高保真四旋翼模型,包括各种具有挑战性的目标机动场景,并且只需要成功执行的相关信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Guidance Law for Flexible Target Enclosing With Inherent Safety
In this paper, we address the problem of enclosing an arbitrarily moving target in three dimensions by a single pursuer while ensuring the pursuer's safety by preventing collisions with the target. The proposed guidance strategy steers the pursuer to a safe region of space surrounding and excluding the target, allowing it to maintain a certain distance from the latter while offering greater flexibility in positioning and converging to any orbit within this safe zone. We leverage the concept of the Lyapunov Barrier Function as a powerful tool to constrain the distance between the pursuer and the target within asymmetric bounds, thereby ensuring the pursuer's safety within the predefined region. Further, we demonstrate the effectiveness of the proposed guidance law in managing arbitrarily maneuvering targets and other uncertainties (such as vehicle/autopilot dynamics and external disturbances) by enabling the pursuer to consistently achieve stable global enclosing behaviors by switching between stable enclosing trajectories within the safe region whenever necessary, even in response to aggressive target maneuvers. To attest to the merits of our work, we conduct experimental tests with various plant models, including a high-fidelity quadrotor model within Software-in-the-loop (SITL) simulations, encompassing various challenging target maneuver scenarios and requiring only relative information for successful execution.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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