Research On Path Planning Of Laser Guided AGV In Flexible Assembly System

With the advancement of German Industry 4.0 and China Manufacturing 2025,personalized,customized and flexible production models have become the mainstream of manufacturing development.In the flexible production mode,the flexible assembly system requires an AGV(Automated Guided Vehicle)to carry materials.Therefore,the research on AGV path planning can not only improve the operational efficiency of the logistics system,but also improve the production efficiency of the entire flexible assembly system.This paper mainly studies the single AGV path planning and multi-AGV path planning of laser guided AGV in flexible assembly system.In the single AGV path planning,the basic ant colony algorithm has the disadvantages of slow convergence speed and easy to fall into local optimum.Therefore,based on the actual workshop production task data analysis,this paper proposes the principle of cold and heat,introduces the initial pheromone distribution with dynamic selection in the ant colony algorithm,and uses the pheromone global update method to adjust the state transition probability heuristic information to the ant colony.The algorithm is improved to guide the ants to search for the target point and avoid falling into local optimum and premature.After comparison and analysis of multiple sets of experimental data and simulation results,the improved algorithm has higher stability and better performance than the basic algorithm,and the global optimization ability is strong,and avoids the algorithm falling into local optimum and speeding up the convergence speed of the algorithm.The best performance indicators of the algorithm were increased by 2.9399%,2.8755%,5.7438%,and 3.69175%respectively.In the multi-AGV time window path planning,the system is easily interfered by many factors,so that the AGV performing the task fails to arrive on time according to the path planned by the time window model.After a certain time,the error will accumulate in a large amount.In this paper,the time window is used to modify and update the time window model in real time.When the AGV arrives early,let it wait until it coincides with the planning time window.When the AGV lag arrives,if the lag is small,adjust time window model.The task is lagging overall.If the amount of lag is large,the task to be executed is re-routed.Through algorithm improvement,multi-AGV avoids collision when performing tasks,and improves the efficiency of system operation.In this paper,the improvement of the algorithm in single AGV and multi-AGV path planning is mainly for flexible assembly system.According to the actual workshop situation,optimizing the operation path of AGV in intelligent logistics system,improving system stability and productivity,has important application value.