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面向食品自动化分拣的Delta机器人轨迹跟踪智能控制方法研究

朱梓清 陈小中 杨淼 刘强 李晓梅

食品与机械2026,Vol.42Issue(2):93-99,7.
食品与机械2026,Vol.42Issue(2):93-99,7.DOI:10.13652/j.spjx.1003.5788.2025.60162

面向食品自动化分拣的Delta机器人轨迹跟踪智能控制方法研究

An intelligent trajectory tracking control method of Delta robots for automated food sorting

朱梓清 1陈小中 1杨淼 1刘强 2李晓梅3

作者信息

  • 1. 常州工程职业技术学院,江苏 常州 213001
  • 2. 徐州工程学院,江苏 徐州 221018
  • 3. 江南大学,江苏 无锡 214100
  • 折叠

摘要

Abstract

[Objective]To address the limitations of existing trajectory tracking control methods for Delta robots in automated food production,such as insufficient tracking accuracy and delayed dynamic response,this study proposes an optimized control scheme to meet the high-precision and high-speed operational requirements of food sorting.[Methods]On the basis of an automated food production system,this paper proposes a trajectory tracking control method for Delta robots by integrating backstepping control,fractional order theory,sliding mode control,and adaptation law.Adaptation law provides real-time compensation for system parameter variations and external disturbances.Fractional order theory optimizes the dynamic response characteristics of the system,while backstepping control and sliding mode control cooperate to improve the stability of trajectory tracking.Additionally,a food sorting test platform is constructed to verify the performance of the proposed method.[Results]Compared with traditional trajectory control methods,the proposed method reduces the root-mean-square error of trajectory tracking by more than 50%and improves dynamic response speed by more than 8%.Meanwhile,it maintains high stability under varying load and disturbance conditions,effectively meeting the high-precision operation requirements of food sorting.[Conclusion]The integrated multi-method control strategy significantly improves both operational accuracy and response speed of Delta robots in automated food production.

关键词

Delta机器人/轨迹跟踪/食品自动化分拣/反演控制/自适应律

Key words

Delta robots/trajectory tracking/automated food sorting/backstepping control/adaptation law

引用本文复制引用

朱梓清,陈小中,杨淼,刘强,李晓梅..面向食品自动化分拣的Delta机器人轨迹跟踪智能控制方法研究[J].食品与机械,2026,42(2):93-99,7.

基金项目

江苏省高等教育教学改革研究立项课题(编号:2023JSJG734) (编号:2023JSJG734)

江苏省教育科学"十四五"规划重点课题(编号:B/2021/03/37) (编号:B/2021/03/37)

食品与机械

1003-5788

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