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Optimal formation of robots by convex hull and particle swarm optimization

机译:通过凸壳和粒子群优化最佳地形成机器人

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Formation control problem has been extensively investigated in the literature of multi-agent systems, robotics, and control, etc. Our previous work mainly concentrated on the theoretic study of line formation with three robots, however, it is hard to handle with the formation problem whose number of robots is strictly larger than 3. In order to effectively overcome this problem, this paper incorporates convex hull and the standard PSO algorithm to design the typical formation of several robots. Firstly, on the basis of convex hull of robots, objective function, corresponding to several constraints, is given by the new convex hull method. Secondly, the standard PSO algorithm is adopted to search for the desired positions of several robots to minimize the objective function and satisfy the formation constraints. To demonstrate the effectiveness of the proposed algorithm, numerical results, regarding the formation of several ships in the realistic ocean, mainly concentrate on triangle formation, diamond formation and regular polygon formation.
机译:形成控制问题在多助手系统,机器人和控制等文献中被广泛调查。我们以前的工作主要集中在具有三个机器人的线形成的理论研究中,然而,难以处理形成问题其机器人数量严格大于3.为了有效地克服这个问题,本文包含了凸船和标准的PSO算法来设计多个机器人的典型形成。首先,基于机器人的凸壳,通过新的凸壳方法给出对应于若干约束的目标函数。其次,采用标准PSO算法来搜索多个机器人的所需位置,以最小化目标函数并满足形成约束。为了证明所提出的算法,数值结果的有效性,关于现实海洋中的几艘船的形成,主要集中在三角形形成,金刚石形成和常规多边形形成。

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