环形智能加工系统中RGV的动态调度策略  

Dynamic Scheduling Strategy of RGV in Ring Intelligent Processing System

作　　者：袁梦婷 杨碧容 孙瑞 吕平[1] YUAN Meng-ting;YANG Bi-rong;SUN Rui;LV Ping(School of Science,Hangzhou Normal University,Hangzhou 311100,China)

机构地区：[1]杭州师范大学理学院

出　　处：《价值工程》2019年第27期43-45,共3页Value Engineering

摘　　要：基于MDP理论,将“RGV执行并完成任务所需时间”构建为动态优先级,引入随机变量“CNC发生故障和排除故障的时间”,结合RGV、CNC、物料的状态变化情况,建立基于MDP理论的状态转移模型。并在数值迭代算法的基础上设计了MDP迭代寻优算法对三组系统进行求解,从而得到一道工序物料加工过程中,CNC有1%的概率发生故障的情形下环形智能加工系统在未知动态环境下的最优调度策略。Basing on the MDP theory, we construct the time of RGV to execute and complete the task as the dynamic priority, and introduce two random variables, the time when the CNC is faulty and the fault is removed. At the meanwhile, combining with the state changes of RGV, CNC and materials, we establish a state transition model based on MDP theory. Then, based on the numerical iterative algorithm, the MDP iterative optimization algorithm is designed to solve the three groups of systems, so that the optimal scheduling strategy of the intelligent processing system in an unknown dynamic environment during the processing of a process material with a 1% probability of failure in the CNC is obtained.

关 键 词：MDP理论 动态优先级 迭代寻优算法 动态调度最优策略 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]