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基于图论和行为的深空航天器网络编队控制
引用本文:王楠,徐洁琼. 基于图论和行为的深空航天器网络编队控制[J]. 沈阳工业大学学报, 2011, 33(4): 439-444
作者姓名:王楠  徐洁琼
作者单位:北京航空航天大学航空科学与工程学院;河南工程学院计算机科学与工程系;
基金项目:国家自然科学基金资助项目(10832004)
摘    要:针对深空中航天器网络编队的控制问题,采用基于图论和行为的混合方法得到一种控制器.在设计控制器的过程中,每个航天器被定义了两个相互竞争的行为,其中一个行为定义为该航天器跟随一个预先指定的路径,另一个行为定义为在实现第一个行为的同时达到期望的几何队形,根据这两个行为要求,定义了一个系统误差函数,并给出控制器结构.利用Lyapunov稳定性理论证明了航天器编队系统的误差函数在该控制器作用下的收敛性,数值仿真结果验证了控制策略的有效性.

关 键 词:图论  网络航天器  信息流  相对位置  相对姿态  编队控制  

Graph theory and behavior based networked formation control for spacecraft in deep space
WANG Nan,,XU Jie-qiong. Graph theory and behavior based networked formation control for spacecraft in deep space[J]. Journal of Shenyang University of Technology, 2011, 33(4): 439-444
Authors:WANG Nan    XU Jie-qiong
Affiliation:WANG Nan1,2,XU Jie-qiong1(1.School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China,2.Department of Computer Science and Engineering,Henan Institute of Engineering,Zhengzhou 451191,China)
Abstract:In order to solve the networked formation control problem of spacecraft flying in deep space,a controller was obtained with the graph theory and behavior based hybrid approach.In the design process of the controller,two competitive objectives were prescribed for each spacecraft.One is to track a predefined path for the spacecraft,and the other is to achieve a desired geometric configuration at the same time of realizing the first behavior.According to the requirements of two competitive objectives,a system ...
Keywords:graph theory  networked spacecraft  information flow  relative position  relative attitude  formation control  
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