摘要
论文旨在研究智能RGV(轨道式导引小车)的动态调度策略,针对具体加工过程中的不同情况分别建立以效率最大化为目标的多目标优化模型和实时动态调度策略模型。针对加工情况为两道工序且可能存在故障的情况建立动态调度规则,运用MATLAB软件对动态调度模型进行求解,得到最优调度方案。利用组内检验和组间检验对模型的实用性和算法的有效性进行了检验并评价了模型的优缺点。最后,针对RGA可提前预测CNC完成情况方面对模型进行了合理有效展望。
The aim of this paper is to study the dynamic scheduling strategy of intelligent RGV(orbit guided vehicle). According to different situation in the concrete manufacturing process, the multi-objective optimization model and the real-time dynamic scheduling strategy model with the goal of efficiency maximization are established respectively. In this paper, a dynamic scheduling rule is established for the case of two processes and possible faults. The dynamic scheduling model is solved by using MATLAB software, and the optimal scheduling scheme is obtained. The practicability of the model and the validity of the algorithm are tested by means of intra-group test and inter-group test, and the advantages and disadvantages of the model are evaluated. Finally, a reasonable and effective prospect is put forward in view of the RGA can predict CNC completion in advance.
引文
【1】乔非,吴启迪. SJ—FMS中RGV的实时调度与故障调度[J].组合机床与自动化加工技术, 1995(3):39-43.
【2】江唯,何非,童一飞,等.基于混合算法的环形轨道RGV系统调度优化研究[J].计算机工程与应用唯一官方网站, 2016, 52(22):242-247.
【3】刘永强.基于遗传算法的RGV动态调度研究[D].合肥:合肥工业大学,2017.