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基于位姿状态的全向运行型AGV路径跟踪优化控制方法

钱晓明 朱立群 楼佩煌 张沪松

农业机械学报2018,Vol.49Issue(4):20-26,7.
农业机械学报2018,Vol.49Issue(4):20-26,7.DOI:10.6041/j.issn.1000-1298.2018.04.002

基于位姿状态的全向运行型AGV路径跟踪优化控制方法

Optimal Path Tracking Control Method of Omni-directional Mobile AGV Based on Pose State

钱晓明 1朱立群 2楼佩煌 1张沪松2

作者信息

  • 1. 南京航空航天大学机电学院,南京 210016
  • 2. 江苏省精密与微细制造技术重点实验室,南京 210016
  • 折叠

摘要

Abstract

An optimal control method based on pose state and limited steps of control sequences was presented for path tracking of an omni-directional mobile automated guided vehicles (AGV),as the key of automated guided vehicle autonomous movement was precise path tracking.Firstly,under the system constraints,the continuous system was discretized by establishing the kinematic model and analyzing the kinematic model of the system.Secondly,by selecting the two order integral function as the objective function of the optimal control,a selection of weighted matrix for optimal control was avoided when an objective function only included one item of speed control and a control sequence of the system control quantity was obtained by minimizing objective function.Meanwhile,the limited steps of control sequences were also beneficial to the rolling control of real time embedded controller.In addition,the control efficiency of the system can be improved by reducing the number of control steps under the condition that the control cycle was determined and the control performance was satisfied.Finally,simulation and experiment results showed that when the system was stable,the angle error of the path tracking was within 2°,the distance error was less than 2 mm,and the control time was 0.8 ~ 1.2 s.Thus the algorithm can eliminate pose error quickly,synchronously and stably for different speeds,and the computation was small and convenient.

关键词

路径跟踪/优化控制/自动导引车/离散系统

Key words

path tracking/optimal control/automatically guided vehicle/discrete system

分类

信息技术与安全科学

引用本文复制引用

钱晓明,朱立群,楼佩煌,张沪松..基于位姿状态的全向运行型AGV路径跟踪优化控制方法[J].农业机械学报,2018,49(4):20-26,7.

基金项目

江苏省重点研发计划项目(BE2016004-3)和中央高校基本科研业务费专项资金项目(NS2017028) (BE2016004-3)

农业机械学报

OA北大核心CSCDCSTPCD

1000-1298

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