英文文献_agv内容摘要:

dge or links). Nodes represent sites for workstation and parking areas for vehicle and serve as pickup and dropoff points for loads. A demand could be generated in the form of pickup loads at any workstation and drop off a load to other workstations. The main problem to be tackled here is finding the shortest path of the AGVs from its present location to the destination station via intermediate pickup workstation. There are several possible paths through which the vehicle can travel, and among these shortest, a conflict and deadlockfree path is to be adopted for routing. The vehicle’s chosen path should be such that, it may not affect the others active travel schedule. The main thrust of this research is to frame collaborative agentbased architecture for real time traffic control of AGVs, with a view to avoiding collisions and deadlocks and achieving minimum journey motion times in an FMS. It generates a conflictfree shortest path for the AGV in an effective manner and, therefore, can overe the inefficacies that may arise in plex layout of manufacturing system. Agent controller, presented in this paper, controls the AGVs using modules. These modules are associated with rulebased system, heuristics and algorithms. Various agents used in this architecture are as follows: guide path agent, zone controller agent, journey time database agent, online traffic controller agent, AGV agent, order agent and interface agent. In addition, contract protocols are used for fully automated petitive negotiation through the use of contracts among different agents. An AGV system is based on the guide path constructed of nodes and links having some rules, heuristics and algorithm。
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