摘要
为解决单工序智能加工系统在无故障及故障下动态调度的问题,提出一种基于单工序智能加工系统的动态调度策略。根据RGV-CNC系统的工作原理,建立系统内有轨制导车工作仿真模型和故障仿真模型,提出基于贪心算法以及基于故障事件驱动型的周期调度策略方法,分析故障对生产的影响,对影响生产数目的有轨制导车初始服务顺序进行探讨,使用改进遗传算法求其顺序,并通过实例进行验证。仿真结果表明:该策略得到的有轨制导车工作效率高,故障期望数目符合实际情况。
In order to solve the problem of dynamic scheduling of single-process intelligent system in fault-free and fault conditions,a dynamic scheduling strategy based on single-process intelligent machining system is proposed.According to the working principle of RGV-CNC system,the system rail guided vehicle’s working and fault simulation model is established.Put forward dynamic scheduling strategy method based on greedy algorithm and fault driving,analyze influence of fault on manufacturing,the rail guided vehicle’s initial service order on the number of productions is discussed.The improved genetic algorithm is used to solve the order and the method is verified by example.The simulation results show that the rail guided vehicle which uses the strategy has a high working efficiency,and the expected number of faults is in line with the actual situation.
作者
姚诗梦
刘阳
刘建鹏
Yao Shimeng;Liu Yang;Liu Jianpeng(School of Science,Jiangxi University of Science&Technology,Ganzhou 341000,China;School of Mechancal&Electrical Engineering,Jiangxi University of Science&Technology,Ganzhou 341000,China)
出处
《兵工自动化》
2020年第1期35-39,共5页
Ordnance Industry Automation
关键词
动态调度策略
周期调度
贪心算法
仿真模型
故障
遗传算法
dynamic scheduling strategy
periodic scheduling
greedy algorithm
simulation model
fault
genetic algorithm
