测控技术2025，Vol.44Issue(3)：38-43,6.DOI:10.19708/j.ckjs.2025.03.305
基于改进DGW算法的机器人移动控制研究
Research on Robot Movement Control Based on Improved DGW Algorithm
摘要
Abstract
Wheeled robot is applied in many fields,but there are some problems with poor data parameter anal-ysis and trajectory tracking control performance in robot trajectory tracking control.In order to improve the traj-ectory tracking control effect of the robot in the process of moving,the differential evolution(DE)algorithm is adopted to improve the grey wolf optimizer(GWO)algorithm,and the control effect of the robot is improved by improving the convergence factor and the cross-variation process.The experimental results show that the mini-mum fit value of the improved algorithm in robot control is 0.04,which is 0.88 lower than that of the genetic algorithm.The ratio value of the improved algorithm is10.846 9,the integral value is2.354 8 and the differen-tial value is 0.065 4.Practical application and testing show that this method has a good performance in robot trajectory tracking control.关键词
改进差分进化灰狼优化/机器人/移动/控制/参数优化Key words
improved DGW/robot/movement/control/parameter optimzation分类
计算机与自动化引用本文复制引用
王选..基于改进DGW算法的机器人移动控制研究[J].测控技术,2025,44(3):38-43,6.基金项目
中国高校产学研创新基金-北创助教项目(二期)课题(2021BCF02007) （二期）
烟台职业学院2023年横向科研项目(HX2023057) （HX2023057）
烟台职业学院2023年校本科研项目(2023XBZC0) （2023XBZC0）
