The Path Planning Of Automatic Guided Vehicle In SMTCL

With the promotion of modern enterprise production development and logistics flexibility level automated guided vehicle (AGV) system is a wide range of applications in material transport links, facilitate the automation management, improve the manufacturing system flexibility, and improves the production efficiency of the enterprise.In this paper, the path search of single AGV and the conflict resolution of multi AGV system path planning and scheduling are studied, based on the actual situation of SMTCL. The single AGV path planning is the basis of multiple AGV system planning and layout in the workshop for the production of a single AGV path analysis established layout, and the abstraction of the AGV path graph, combined with the idea of heuristic search, using graph theory methods to analyze and show the walking path AGV. Path planning for multiple AGV system is mainly to solve the handling system of conflict, through the analysis of machine tool plant vertical machining workshop assembly process and system paths, graph directed graph method, using Dijkstra algorithm to the path of the initial planning, conflict resolution, focusing on level analysis method to resolve conflicts when the priority level of the various regions in the workshop, and conflict resolution. The AGV control system is built, and the C++ Visual is the platform for path planning system simulation, and the feasibility and effectiveness of the algorithm are verified.