基于模糊逻辑控制技术的移动机器人路径跟踪中的偏差纠正

FUZZY LOGIC CONTROL BASED CORRECT DEVIATIONS IN MOBILE ROBOT ROAD FOLLOWING

  • 摘要: 本文在分析移动机器人在路径跟踪中所产生的3种误差之间关系的基础上,提出了基于两个模糊子控制器的移动机器人路径跟踪纠偏的新方法.该方法简化了移动机器人的纠偏控制过程,改善了控制算法的实时性,提高了移动机器人的路径跟踪精度.

     

    Abstract: In this paper, the relationship among three deviations produced in mobile robot road following is investigated, and a new two sub-fuzzy controllers based correct deviations method is advanced. This new method simplifies correct deviations control algorithm and improves the real-time control of this algorithm, as well as improves the road following precision of a mobile robot.

     

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