Optimal formation of robots by convex hull and particle swarm optimization

Jun Liu, Hongbin Ma, X. Ren, M. Fu
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引用次数: 9

Abstract

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.
基于凸包和粒子群优化的机器人最优队形
编队控制问题在多智能体系统、机器人和控制等领域的文献中得到了广泛的研究。我们以往的工作主要集中在三个机器人组队的理论研究上,但是很难处理机器人数量严格大于3的组队问题。为了有效地克服这一问题,本文将凸包算法与标准粒子群算法相结合,设计了多个机器人的典型编队。首先,在机器人凸壳的基础上,用新凸壳法给出了多个约束条件对应的目标函数;其次,采用标准粒子群算法搜索多个机器人的理想位置,使目标函数最小化并满足编队约束;为了验证该算法的有效性,在现实海洋中多艘舰船编队的数值结果主要集中在三角形编队、菱形编队和正多边形编队。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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