粒子群算法优化的智能机器人无线充电方法

目前机器人传统直插式充电方式存有布线复杂、灵活性差,且不适用于易燃、易爆等特殊环境等问题,无线充电技术的应用有利于促进机器人智能化方向发展。为提高机器人无线充电效率,设计了一种基于无线通信技术、定位技术、无线充电技术的机器人智能无线充电系统;为提高粒子群算法全局寻优能力,引入鸽群优化算法地图、指南针算子和地标算子,提出了一种粒子群-鸽群融合定位算法对机器人充电位置进行定位优化;实验数据表明,设计算法具有较高的定位精度,较快的收敛速度,有利于机器人获取最佳充电位置,提高充电效率。

Wireless charging method of intelligent robot based on particle swarm optimization

At present,the traditional charging method of robots has some problems,such as complex wiring,poor flexibility,and is not suitable for the special environment such as flammable,explosive.The application of wireless charging technology is conducive to the intelligent development of robot.In order to improve the wireless charging efficiency of intelligent robots,a wireless charging system for intelligent robots based on wireless communication technology,positioning technology and wireless charging technology is designed.In order to improve the global optimization ability of the particle swarm optimization algorithm,map,compass and landmark operator of the pigeonin-spired optimization algorithms are introduced.Experimental data show that the design algorithm has higher positioning accuracy and faster convergence speed,which is conducive to the robot to obtain the best charging position and improve charging efficiency.