农机化研究Issue(9)：121-125,5.
基于模糊逻辑控制的自主导航采摘机器人避障设计
Obstacle Avoidance Design for Picking Robot of Autonomous Navigation Based on Fuzzy Logic Control
摘要
Abstract
In order to improve the adaptive ability of the robot's autonomous navigation, a fuzzy logic control method is proposed based on the improved genetic algorithm, which can improve the ability and efficiency of robot path planning, and shorten the time of path planning.The speed ratio of the driving wheel is used as the output quantity, and the path of the robot is controlled by the speed ratio of the driving wheel.The improved genetic algorithm is introduced.Finally, the performance of the picking robot is tested.Through the test, it is found that the robot can avoid the obstacle success-fully, finish the shortest path planning.And the planning response time is short, the reliability is high.关键词
采摘机器人/模糊控制/遗传算法/移动路径/修正项/适应度Key words
picking robot/fuzzy control/genetic algorithm/moving path/modification/fitness分类
农业科技引用本文复制引用
鲁丽萍,葛聪..基于模糊逻辑控制的自主导航采摘机器人避障设计[J].农机化研究,2016,(9):121-125,5.基金项目
河南省科技厅科学研究计划项目 （）
