首页> 外文会议>2010 IEEE International Conference on Fuzzy Systems >Design of polar-space kinematic controller based on ant colony optimization computing method for omnidirectional mobile robots
【24h】

Design of polar-space kinematic controller based on ant colony optimization computing method for omnidirectional mobile robots

机译:基于蚁群优化计算方法的全向移动机器人极空间运动控制器设计

获取原文

摘要

This paper presents a polar-space optimal kinematic controller design based on ant colony optimization (ACO) computing method for omnidirectional mobile robots with three independent driving wheels equally spaced at 120 degrees from one another. The optimal control parameters are obtained by minimizing the performance index using the proposed ACO computing method. These optimal parameters are used in the ACO-based polar-space kinematic controller to obtain better performance for omnidirectional mobile robots to achieve both trajectory tracking and stabilization. Simulation results are conducted to show the effectiveness and merit of the proposed ACO-based polar-space kinematic controller for omnidirectional mobile robots.
机译:本文提出了一种基于蚁群优化(ACO)计算方法的极空间最优运动学控制器设计,该机器人具有三个彼此独立地等距120度的驱动轮的全向移动机器人。通过使用建议的ACO计算方法将性能指标最小化,可以获得最佳控制参数。这些最佳参数用于基于ACO的极地运动学控制器中,以为全向移动机器人获得更好的性能,从而实现轨迹跟踪和稳定化。仿真结果表明了所提出的基于ACO的全向移动机器人极空间运动学控制器的有效性和优点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号