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两轮机器人到定点的时间路径最优运动控制

he optical time and path control for moving to goal of two wheeled robot

中文摘要英文摘要

两轮机器人到定点运动是非常典型的机器人运动控制问题,为了实现快速平滑的运动控制,本文以RoboCup中型两轮足球机器人为对象,应用遗传算法(Genetic Algorithm, GA),分别设计了基于时间最优、路径最优以及两者加权最优的适应度函数,对控制参数进行优化,实现了基于特定运动指标最优的到定点运动控制。运动性能指标能够定量分析可作为控制器控制效果的比较依据,文中设计了仿人智能控制器(Human Simulated Intelligent Control, HSIC),并与常见的比例控制器(Proportion Control, P控制)进行了对比, 实验结果表明该方法实用有效,能实现特定性能最优的运动控制并为控制算法的设计提供了依据。

The moving to goal of two wheeled robot is a typical motion control problem. In order to realize fast and stable moving, This paper researched RoboCup middle-sized two wheeled robot, applied Genetic Algorithm(GA),designed optical time, optical path and both of them as fitness function, optimized parameters of controller, realized the optical required performances control. The method can be used to do quantitative analysis and judge the effectiveness of different controllers. The article designed Human Simulated Intelligent Controller (HSIC) and contrast with proportion controller (P Controller), the result of experiment showed this was an effective way and can select controller based on this.

王牛、雷震、汪亚光、李祖枢

自动化技术、自动化技术设备

到定点运动遗传算法时间路径最优仿人智能控制

moving to goalGAoptical time and pathHSIC

王牛,雷震,汪亚光,李祖枢.两轮机器人到定点的时间路径最优运动控制[EB/OL].(2009-03-19)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200903-747.点此复制

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