微型电脑应用2025，Vol.41Issue(11)：21-25,5.
云计算环境下基于动态优先级优化算法的机器人轨迹控制
Robot Trajectory Control Based on Dynamic Priority Optimization Algorithm in Cloud Computing Environment
摘要
Abstract
In the field of intelligent trajectory control for mobile robots,traditional serial priority algorithms have limitations in path planning,which can easily lead to infeasible states and result in significant root mean square error.To overcome this prob-lem,this study proposes a robot trajectory control method based on dynamic priority optimization algorithm in cloud computing environment.By building a cloud computing cluster,a grid map of the robot's motion environment is constructed using the grid method.Subsequently,three routers are deployed in the target area to accurately determine the robot's position on the map by monitoring changes in signal strength and using triangulation positioning technology.The dynamic priority optimization algo-rithm is applied to dynamically assign priority to each sub-task executed by the robot based on the real-time requirements of the task and environmental changes,and based on this,an efficient motion path is planned.A combination control strategy is formed by combining the proportional-derivative(PD)controller with two proportional-integral-derivative(PID)controllers to achieve precise control of the robot's trajectory.The experimental results show that the proposed method significantly reduces the root mean square error to 0.09,effectively meets the high-precision requirements of robot motion control.This proposed method not only improves the efficiency and accuracy of robot trajectory control,but also provides a new solution for autono-mous navigation of robots in complex environments.关键词
云计算/动态优先级/机器人/三角测量/轨迹控制Key words
cloud computing/dynamic priority/robot/triangulation/trajectory control分类
信息技术与安全科学引用本文复制引用
马艮娟,卜言彬..云计算环境下基于动态优先级优化算法的机器人轨迹控制[J].微型电脑应用,2025,41(11):21-25,5.基金项目
教育部产学合作协同育人项目(230705841190221) （230705841190221）
大学生创新创业项目(202313687002Y) （202313687002Y）
江苏省高等教育学会专项课题支持项目(2022JDKT128) （2022JDKT128）
