预测控制在卫星机械臂上的应用

IF 1.1 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
T. Rybus, K. Seweryn, J. Sasiadek
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引用次数: 15

摘要

所有拟用于空间的装置在设计时都考虑到在轨环境的具体条件。尽管如此,卫星还是会发生故障,有时会缩短卫星的使用寿命。考虑使用无人服务卫星,可以对其他卫星进行维修。这种卫星配备了操纵器,可用于捕获和清除轨道上的大型空间碎片。计划任务的关键部分是捕获机动。本文提出了卫星机械臂控制系统的概念。该控制系统由轨迹规划模块和模型预测控制器组成(模型预测控制器负责确保规划轨迹的精确实现)。对平面简化情况下的2自由度机械臂进行了数值仿真,结果表明,预测控制的结果优于自适应控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of predictive control for manipulator mounted on a satellite
Specific conditions of on-orbit environment are taken into account in the design of all devices intended to be used in space. Despite this fact malfunctions of satellites occur and sometimes lead to shortening of the satellite operational lifetime. It is considered to use unmanned servicing satellite, that could perform repairs of other satellites. Such satellites equipped with a manipulator, could be used to capture and remove from orbit large space debris. The critical part of planned missions is the capture manoeuvre. In this paper a concept of the control system for the manipulator mounted on the satellite is presented. This control system is composed of the trajectory planning module and model predictive controller (the latter is responsible for ensuring precise realization of the planned trajectory). Numerical simulations performed for the simplified planar case with a 2 DoF manipulator show that the results obtained with the predictive control are better than the results obtained with adaptive control method.
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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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