悬索刚体载荷多旋翼无人机建模与控制:双摆方法

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Mohamed Tolba, Bijan Shirinzadeh
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引用次数: 0

摘要

使用多旋翼无人机(MUAVs)进行空中有效载荷交付最近已成为机器人社区的一个突出研究课题,在许多领域都有各种应用。本文对一种具有悬索刚体载荷的通用无人机载体的建模与控制进行了全面研究。考虑了悬索在载体和载荷上的重心偏移和任意附着点等实际缺陷,建立了一种新的非线性十五自由度动力学模型。此外,该模型还结合了缆索的弹性特性,包括松弛和收紧动力学,并引入了有效载荷的双摆表示。提出了一种带有输出加权的最优线性二次型调节器(LQR),以稳定系统并实现所需MUAV轨迹的平滑跟踪,同时有效地减少载荷振荡和径向运动。所开发的控制器成功地将悬挂载荷的振荡峰值维持在15°以下,以保证稳定性和任务跟踪。与以前的控制器不同,所提出的策略调节MUAV上的任意点,特别是其体轴的原点,而不是MUAV的重心或有效载荷。通过计算分析验证了所提控制策略的有效性。这项研究的发现为开发先进的基于无人机的空中载荷运输系统提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and control of a Multirotor UAV with a cable-suspended rigid body payload: A double-pendulum approach
The use of Multirotor Unmanned Aerial Vehicles (MUAVs) for aerial payload delivery has recently been a prominent research topic in the robotics community with various applications in many sectors. This paper presents a comprehensive study on the modeling and control of a generic MUAV carrier with a cable-suspended rigid body payload. A new nonlinear fifteen-degree-of-freedom dynamics model is derived accounting for practical imperfections such as shifted centers of gravity and arbitrary attachment points of the suspension cable on the carrier and payload. Additionally, this model incorporates the elastic behavior of the cable, including slackening and tightening dynamics, and introduces a double-pendulum representation for the payload. An optimal Linear Quadratic Regulator (LQR) with output weighting is proposed to stabilize the system and enable smooth tracking of the desired MUAV trajectory, while effectively reducing payload oscillations and radial movements. The developed controller successfully maintained the oscillation peak of the suspended payload below 15° for both stability and missions’ tracking. Unlike previous controllers, the proposed strategy regulates an arbitrary point on the MUAV, specifically the origin of its body axes, rather than the MUAV’s center of gravity or the payload. Computational analysis is used to validate the effectiveness of the proposed control strategy. The findings of this study provide valuable insights for the development of advanced MUAV-based aerial load transportation systems.
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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