High-Precision Attitude Tracking Control of Space Manipulator System Under Multiple Disturbances

Jianzhong Qiao, Hao Wu, Xiang Yu
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引用次数: 12

Abstract

Precise attitude control of space manipulators plays an important role in advanced on-orbit assembly tasks. The vibration of flexible appendage and inertial uncertainties encountered in the operating process, however, may cause attitude error or even safety threats to the space manipulator system. In this article, a high-precision attitude control scheme of a space manipulator system is designed via a combination of disturbance observer (DO), prescribed performance-based ${H} _{\infty }$ control, and iterative learning control (ILC) techniques. The proposed control scheme consists of three portions: 1) a DO that estimates the vibration disturbance caused by flexible appendage of base satellite; 2) a robust ${H} _{\infty }$ controller with prescribed performance to attenuate the inertial uncertainties resulting from capture of an unknown object; and 3) an ILC for improving the transient and steady-state process in the presence of a repetitive on-orbit assembly task. This novel control scheme can not only handle the flexible vibration and inertial uncertainty of the space manipulator but also achieve satisfactory tracking performance. Both simulation and experimental results confirm the superiority of the proposed control strategy.
多干扰下空间机械臂系统的高精度姿态跟踪控制
空间机械臂的精确姿态控制在先进的在轨装配任务中起着重要的作用。然而,柔性附件的振动和在操作过程中遇到的惯性不确定性可能会对空间机械臂系统造成姿态误差甚至安全威胁。结合干扰观测器(DO)、基于性能的${H} _{\infty }$控制和迭代学习控制(ILC)技术,设计了空间机械臂系统的高精度姿态控制方案。所提出的控制方案由三部分组成:1)对基地卫星柔性附属物引起的振动扰动进行DO估计;2)具有规定性能的鲁棒${H} _{\infty }$控制器,以衰减捕获未知目标所产生的惯性不确定性;以及3)用于改善存在重复在轨装配任务的瞬态和稳态过程的ILC。该控制方案既能处理空间机械臂的柔性振动和惯性不确定性,又能获得满意的跟踪性能。仿真和实验结果均证实了所提控制策略的优越性。
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来源期刊
自引率
0.00%
发文量
1
审稿时长
6.0 months
期刊介绍: The scope of the IEEE Transactions on Systems, Man, and Cybernetics: Systems includes the fields of systems engineering. It includes issue formulation, analysis and modeling, decision making, and issue interpretation for any of the systems engineering lifecycle phases associated with the definition, development, and deployment of large systems. In addition, it includes systems management, systems engineering processes, and a variety of systems engineering methods such as optimization, modeling and simulation.
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