Research on Flexible Job Shop Scheduling Optimization Based on Segmented AGV

As a typical transportation tool in the intelligent manufacturing system,Automatic Guided Vehicle(AGV)plays an indispensable role in the automatic production process of the workshop.Therefore,integrating AGV resources into production scheduling has become a research hotspot.For the scheduling problem of the flexible job shop adopting segmented AGV,a dual-resource scheduling optimization mathematical model of machine tools and AGVs is established by minimizing the maximum completion time as the objective function,and an improved genetic algorithmis designed to solve the problem in this study.The algorithmdesigns a two-layer codingmethod based on process coding and machine tool coding and embeds the task allocation of AGV into the decoding process to realize the real dual resource integrated scheduling.When initializing the population,three strategies are designed to ensure the diversity of the population.In order to improve the local search ability and the quality of the solution of the genetic algorithm,three neighborhood structures are designed for variable neighborhood search.The superiority of the improved genetic algorithmand the influence of the location and number of transfer stations on scheduling results are verified in two cases.

Path-tracking Control of a Tractor-aircraft System

一台飞机拖拉机作为一种重要海洋的运输和支持设备起一个重要作用。它的对学习必要它改进操作效率的控制并且调遣的稳定性。拖拉机飞机系统的一个虚拟原型模型在这份报纸基于有 Lagrange mutipliers 的第一种类型的 Lagranges 方程被建立。根据拖引的特征，用模糊逻辑理论的一个追踪路径的控制器被设计。方向控制此处通过一条补偿追踪途径被执行。交互合作模拟被执行验证追踪路径的行为在靠近环。模拟结果显示拖拉机在扁平的地面上精确跟随了参考书功课。