首页|单舵轮AGV叉车的高精度导航算法研究与应用

单舵轮AGV叉车的高精度导航算法研究与应用

扫码查看
针对单舵轮自动导引车(AGV,automated guided vehicle)面向印刷车间复杂的作业环境下传统导航方法定位精度差和路径规划算法生成轨迹不固定的问题,研究并设计了完整环境地图下的固定路径和提高导航与定位精度的算法;针对自适应蒙特卡洛定位算法定位精度达不到作业要求,采取了改进的Cartographer-SLAM算法与PID算法结合控制循迹的方法,大大提高了定位导航精度;针对常规导航框架下的路径规划算法会由于AGV车避障行为而改变局部路径,从而改变导航过程中的全局路径,导致在狭窄车间环境下会发生碰撞的问题,设计了生成导航路径点的算法,生成由直线和弧线轨迹组成的固定路径,以用于AGV叉车的PID控制循迹,实现了固定路径的规划;实践证明,该方法解决了单舵轮AGV叉车在车间环境下采用传统导航方法出现的问题,提高了安全性和可控性,工作效率也随之提升。
Research and Application of High Precision Navigation Algorithm for Single Steering wheel AGV Forklift
Aiming at the poor positioning accuracy of traditional navigation methods and unfixed trajectory generated by path plan-ning algorithm for single-wheel automated guided vehicle(AGV)in complex working environment of printing shop,a fixed path under complete environment map and an improve navigation and positioning accuracy algorithm were studied and designed.As the localiza-tion accuracy of adaptive Monte Carlo localization algorithm does not meet the requirements of the operation,the improved Cartogra-pher-SLAM algorithm combined with PID algorithm is adopted to control the tracking,greatly improving the localization and naviga-tion accuracy.The path planning algorithm under the conventional navigation framework will change the local path due to the obstacle avoidance behavior of AGV vehicles,thus changing the global path in the navigation process and resulting in collisions in the narrow workshop environment,the generating navigation path point algorithm is designed to generate the fixed path composed of straight and arc trajectories for PID control tracking of AGV forklift trucks,the fixed path planning is realized.Experiments show that this meth-od solves the problem of traditional navigation methods in the workshop environment of single-wheel AGV forklift,improves safety and control ability,and work efficiency.

high-precision navigationpath planningfixed pathobstacle avoidancePID control tracking

刘志成、王华龙、郭威、马兴录

展开 >

青岛科技大学信息科学技术学院,山东青岛 266000

高精度导航 路径规划 固定路径 避障 PID控制循迹

国家自然科学基金山东省自然科学基金

62201314ZR2020QF007

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(9)
  • 9