[1]钱殿伟.基于模糊滑模的多机器人系统编队控制[J].智能系统学报,2016,11(5):641-647.[doi:10.11992/tis.201510017]
QIAN Dianwei.Formation control of multi-robot systems in a fuzzy sliding mode[J].CAAI Transactions on Intelligent Systems,2016,11(5):641-647.[doi:10.11992/tis.201510017]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
11
期数:
2016年第5期
页码:
641-647
栏目:
学术论文—智能系统
出版日期:
2016-11-01
- Title:
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Formation control of multi-robot systems in a fuzzy sliding mode
- 作者:
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钱殿伟
-
华北电力大学 控制与计算机工程学院, 北京 102206
- Author(s):
-
QIAN Dianwei
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School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
-
- 关键词:
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多机器人; 编队控制; 不确定性; 滑模控制; 模糊逻辑
- Keywords:
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multi-robot; formation control; uncertainties; sliding model control; fuzzy logic
- 分类号:
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TP242.6
- DOI:
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10.11992/tis.201510017
- 摘要:
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针对多机器人编队控制问题,提出了一种滑模控制与模糊逻辑相结合的控制方法。运用领航—跟随法,建立机器人系统的动力学模型。该模型具有不确定性,在不确定性上界未知的假设条件下,运用模糊逻辑,设计模糊补偿器,以逼近系统的不确定性部分。基于Lyapunov理论,证明所设计的模糊滑模编队控制系统具有渐近稳定性,同时模糊补偿器的逼近误差是收敛的。仿真结果表明,该方法可使多机器人系统迅速地形成所期望的队形,并在运动中保持该队形。
- Abstract:
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To resolve the formation problem resulting from a swarm of robots, a control scheme is proposed based on sliding mode control and fuzzy logic. A formation dynamic model is established utilizing the leader-follower approach. The model is subject to uncertainties. If the upper bounds of these uncertainties are unknown, then a fuzzy compensator can be adopted to approximate the uncertainties. From an Lyapunov approach, not only is the sliding-mode-based formation control system asymptotically stable, but the approximate error of the fuzzy compensator is also convergent. The simulation results demonstrate that the robots can rapidly form and maintain the desired specified geometrical shapes during movement.
备注/Memo
收稿日期:2015-10-22。
基金项目:国家自然科学基金项目(60904008).
作者简介:钱殿伟,男,1980年生,副教授,博士,主要研究方向为变结构控制理论与应用、智能机器人技术、欠驱动机器人控制。
通讯作者:钱殿伟.E-mail:dianwei.qian@ncepu.edu.cn
更新日期/Last Update:
1900-01-01