计算机与现代化

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 基于改进免疫启发群聚集算法的群机器人自恢复方法

  

  1. (河海大学物联网工程学院,江苏常州213022)
  • 出版日期:2018-04-28 发布日期:2018-05-02
  • 作者简介:刘养菊(1988),女,山东东平人,河海大学物联网工程学院硕士研究生,研究方向:生物启发算法,多机器人系统; 倪建军(1978),男,教授,博士生导师,博士,研究方向:多机器人系统,机器学习,复杂系统建模与控制。
  • 基金资助:
     国家自然科学基金资助项目(61203365, 61573128); 国家重点研究项目(2016YFC0401606); 江苏省自然科学基金资助项目(BK2012149)

Swarm Robotic System Selfhealing Method Based on #br# Improved Immuneinspired Swarm Aggregation Algorithm

  1. (College of Internet of Things Engineering, Hohai University, Changzhou 213022, China)
  • Online:2018-04-28 Published:2018-05-02

摘要: 群机器人由许多简单的无差别的机器人组成,是多机器人系统的一个重要研究方向。虽然其相比个体机器人有良好的容错性和鲁棒性,但是在机器人发生局部故障——有信息交互能力但无驱动能力时,群机器人系统会受到影响。针 对这一问题,以基于生物免疫系统原理的肉芽肿形成算法为基础,引入离散粒子群算法选取最优的自恢复策略,使群机器人系统实现故障自恢复并更快更有效地完成任务。仿真实验结果表明该算法在群机器人自恢复系统中具有良好的效果。

关键词: 群机器人系统, 故障自恢复, 免疫启发算法

Abstract: Swarm robotic system is an important research direction of multirobot system, which is composed of many simple and undifferentiated robots. Compared with the individual robot, swarm robotic system has good fault tolerance and robustness, but it will be affected when the partial failure of a robot appears, namely a robot has information interaction ability but no drive ability. Aiming at this problem, an optimal recovery strategy is proposed, which is based on the granuloma formation algorithm inspired by immune system. In the proposed approach, a discrete particle swarm optimization algorithm is introduced, which makes the swarm robotic system have fault selfhealing capability and complete its task quickly and effectively. The experimental results show that the proposed approach has good effects in the swarm robotic selfhealing system.

Key words:  swarm robotic system, fault selfhealing, immuneinspired algorithm

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