Prespecified-Performance Kinematic Tracking Control for Aerial Manipulation

IF 5.3 2区 计算机科学 Q2 ROBOTICS
Hauzi Cao;Jiahao Shen;Zhengzhen Li;Qinquan Ren;Shiyu Zhao
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引用次数: 0

Abstract

This letter studies the kinematic tracking control problem for aerial manipulators. Existing kinematic tracking control methods, which typically employ proportional-derivative feedback or tracking-error-based feedback strategies, may fail to achieve tracking objectives within specified time constraints. To address this limitation, we propose a novel control framework comprising two key components: end-effector tracking control based on a user-defined preset trajectory and quadratic programming-based reference allocation. Compared with state-of-the-art approaches, the proposed method has several attractive features. First, it ensures that the end-effector reaches the desired position within a preset time while keeping the tracking error within a performance envelope that reflects task requirements. Second, quadratic programming is employed to allocate the references of the quadcopter base and the Delta arm, while considering the physical constraints of the aerial manipulator, thus preventing solutions that may violate physical limitations. The proposed approach is validated through three experiments. Experimental results demonstrate the effectiveness of the proposed algorithm and its capability to guarantee that the target position is reached within the preset time.
空中操纵的预定性能运动学跟踪控制
本文研究了航空机械臂的运动跟踪控制问题。现有的运动跟踪控制方法通常采用比例导数反馈或基于跟踪误差的反馈策略,可能无法在规定的时间约束内实现跟踪目标。为了解决这一限制,我们提出了一种新的控制框架,包括两个关键组成部分:基于用户自定义预设轨迹的末端执行器跟踪控制和基于二次规划的参考分配。与现有的方法相比,该方法具有几个吸引人的特点。首先,它确保末端执行器在预设时间内到达期望位置,同时保持跟踪误差在反映任务要求的性能范围内。其次,在考虑航空机械臂物理约束的情况下,采用二次规划方法对四轴飞行器基座和Delta臂的参考点进行分配,避免了可能违反物理限制的解。通过三个实验验证了该方法的有效性。实验结果证明了该算法的有效性,能够保证在预定时间内到达目标位置。
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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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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