摘要
在圆型纬编针织智能车间中,为实现针织换筒机器人自动换筒的合理调度,保证纱筒更换效率,提出一种考虑纱筒余纱量的针织换筒机器人换筒任务调度方法。基于纱筒余纱量、换筒任务响应时间、换筒任务总路径和圆机生产连续性等约束结合纱筒更换时序要求和换筒机器人运行速度,建立了以改进遗传算法为核心的针织换筒机器人自动换筒任务调度模型。基于换筒工序改进启发规则,对针织自动换筒任务进行选择排序,优化算法在排序生产和换筒路径规划中的合理性,提升换筒效率。实验测试表明,基于纱筒余纱量约束改进的遗传算法换筒效率优于单纯按空纱筒时间依次排序的算法,效率提升40%左右,且算法前期的收敛速度优于传统遗传算法,提升50%左右,对促进针织生产全流程自动化、换筒工序智能化发展具有实际的参考价值。
Objective Aiming at the automatic production of the whole process of the circular knitting machine in an intelligent workshop,this research concentrates on the reasonable scheduling of the automatic bobbin replacement of the knitting robot with acceptable efficiency.Method In the knitting production shops,the effectiveness of bobbin replacement plays a critical role in ensuring uninterrupted production on circular knitting machines.In order to satisfy production demands for bobbin replacement,a comprehensive consideration of various factors is required,such as the amount of yarn remaining in the bobbin,the response time of the bobbin replacement task,and the path followed by the robot during bobbin replacement.This paper presents a multi-objective optimization model for the bobbin replacement task in intelligent knitting workshops and prioritizes the bobbin replacement tasks based on optimizing the heuristic rules for the replacement process.An improved genetic algorithm that takes into account the amount of remaining yarn is introduced for minimizing the overall path length of the bobbin replacement process and decreasing emergency coefficients for bobbin replacement.Emphasis is placed on replacing yarn bobbin with high emergency coefficients to optimize the production sequencing and bobbin replacement path planning,leading to improved bobbin replacement efficiency.Results To further verify the effectiveness of the algorithm proposed in this paper,comparative experiments were conducted with ant colony algorithm,genetic algorithm,and the improved algorithm presented in this paper.The results showed that compared with the other two algorithms,the proposed algorithm exhibited outstanding performance in both algorithm convergence and solution stability.Compared to the traditional genetic algorithm,the proposed algorithm demonstrated a 50%improvement in early convergence speed and a theoretical 40%increase in efficiency for bobbin replacement.An effective solution is proposed for the bobbin replacement task in the kn
作者
孙磊
屠佳佳
毛慧敏
王俊茹
史伟民
SUN Lei;TU Jiajia;MAO Huimin;WANG Junru;SHI Weimin(College of Mechanical and Automatic Control,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China;Key Laboratory of Modern Textile Machinery&Technology of Zhejiang Province,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China)
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2023年第12期189-196,共8页
Journal of Textile Research
基金
国家重点研发计划项目(2017YFB1304000)。
关键词
针织圆机
纱筒余纱量
任务调度
针织换筒机器人
遗传算法
针织智能车间
circular knitting machine
remaining yarn amount of bobbin
task scheduling
knitting bobbin changing robot
genetic algorithm
intelligent knitting workshop
