Research On Multiple AGV System Scheduling Based On Mixed Regional Control Model

With the high speed development of modern logistics technology, Automated Guided VehicleSystem is being increasingly used for material transfer in production lines of modern manufacturingplants. The purpose is to enhance efficiency in material transfer and increase production. Thereremains the difficult task of assigning material transfer jobs to different AGVs and distribute themappropriately to reduce possible conflicts in path sharing and deadlocks.This paper develops a new guide-path configuration for AGVS and studies its vehicledispatching, route planning and vehicle control. The main contents include as following:Firstly, Aiming at reducing the inherent complexity of the multi-AGV problem, a new guide-pathconfiguration of mixed regional control model is presented. Proposing a scheme based on the shortestwaiting time for the task, the optimization of the efficiency and running time is achieved in oursystem. A distributed coordination control approach is designed to solve the conflict and deadlockproblem between AGVs online.Secondly, An experimental hardware simulation platform for AGVS is built to indicate thevalidity and feasibility of the proposed model. AGV is based on wireless communication and drivingcircuit of Pulse Width Modulation. The processing equipment is simulated based on stepping motorand Micro Control Unit. The surveillance and control center is developed based on the ARMprocessor, μC/OS-II real-time operating system and μC/GUI Graphical User Interface.Finally, In order to reduce the vehicle’s computation burden online, Floyd algorithm is used tocalculate the shortest path between the two stations in the model. Using the scheduling strategyproposed in the model, AGVS is assigned to finish the transportation tasks for materials in theexperiment. Results indicate that the proposed algorithm and model perform more practicable andachieve less conflicts and deadlocks in route sharing.