多智能体系统编队控制的最优内力设计

Yoichi Masuda, K. Nagase
{"title":"多智能体系统编队控制的最优内力设计","authors":"Yoichi Masuda, K. Nagase","doi":"10.1109/ICCAS.2015.7364988","DOIUrl":null,"url":null,"abstract":"This paper proposes a method for designing a control law for a distributed cooperative formation control of multi-agent systems that positively utilizes self-equilibrium conditions on the basis of the force density method. The force density method is widely used in structural mechanics, and enables us to design the equilibrium of axially loaded structures (tensegrity structures) with a non-zero internal force. The control law is derived from a potential function of virtual linear springs connecting the agents. Replacing the design variables in linear springs by force density (control force per unit length) and member constant (product of spring constant and rest length), the design problems can be described as convex optimization problems. Considering the trade-off between the stiffness of target formation and the control effort, we choose a design objective to minimize the maximum eigenvalue of the tangent stiffness matrix under a constraint of stability. Numerical examples show that the proposed method suppresses the maximum eigenvalue of the tangent stiffness matrix, and decreases the control effort by introducing the non-zero internal force.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"13 1","pages":"597-602"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal internal force design for formation control of multi-agent systems\",\"authors\":\"Yoichi Masuda, K. Nagase\",\"doi\":\"10.1109/ICCAS.2015.7364988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method for designing a control law for a distributed cooperative formation control of multi-agent systems that positively utilizes self-equilibrium conditions on the basis of the force density method. The force density method is widely used in structural mechanics, and enables us to design the equilibrium of axially loaded structures (tensegrity structures) with a non-zero internal force. The control law is derived from a potential function of virtual linear springs connecting the agents. Replacing the design variables in linear springs by force density (control force per unit length) and member constant (product of spring constant and rest length), the design problems can be described as convex optimization problems. Considering the trade-off between the stiffness of target formation and the control effort, we choose a design objective to minimize the maximum eigenvalue of the tangent stiffness matrix under a constraint of stability. Numerical examples show that the proposed method suppresses the maximum eigenvalue of the tangent stiffness matrix, and decreases the control effort by introducing the non-zero internal force.\",\"PeriodicalId\":6641,\"journal\":{\"name\":\"2015 15th International Conference on Control, Automation and Systems (ICCAS)\",\"volume\":\"13 1\",\"pages\":\"597-602\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 15th International Conference on Control, Automation and Systems (ICCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2015.7364988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2015.7364988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在力密度法的基础上,提出了一种积极利用自平衡条件的多智能体分布式协同编队控制律设计方法。力密度法在结构力学中得到了广泛的应用,它使我们能够设计具有非零内力的轴向加载结构(张拉整体结构)的平衡。控制律由连接各agent的虚拟线性弹簧的势函数推导而来。将线性弹簧中的设计变量替换为力密度(单位长度的控制力)和构件常数(弹簧常数与静止长度的乘积),设计问题可以描述为凸优化问题。考虑到目标编队的刚度和控制努力之间的权衡,在稳定性约束下,我们选择一个最小化切刚度矩阵的最大特征值的设计目标。数值算例表明,该方法抑制了切向刚度矩阵的最大特征值,并通过引入非零内力减小了控制工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal internal force design for formation control of multi-agent systems
This paper proposes a method for designing a control law for a distributed cooperative formation control of multi-agent systems that positively utilizes self-equilibrium conditions on the basis of the force density method. The force density method is widely used in structural mechanics, and enables us to design the equilibrium of axially loaded structures (tensegrity structures) with a non-zero internal force. The control law is derived from a potential function of virtual linear springs connecting the agents. Replacing the design variables in linear springs by force density (control force per unit length) and member constant (product of spring constant and rest length), the design problems can be described as convex optimization problems. Considering the trade-off between the stiffness of target formation and the control effort, we choose a design objective to minimize the maximum eigenvalue of the tangent stiffness matrix under a constraint of stability. Numerical examples show that the proposed method suppresses the maximum eigenvalue of the tangent stiffness matrix, and decreases the control effort by introducing the non-zero internal force.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信