Path Planning Of Forklift Multi-AGVS

With the continuous development of the Internet and artificial intelligence technologies,intelligent logistics has become increasingly important in modern industrial manufacturing.Automated Guided Vehicle(AGV),as an integral part of the intelligent and automated of logistics and transportation system,has the advantages of stable transportation,accurate dispatch,etc.It has important significance for improving the efficiency of logistics transportation,saving transportation costs and improving the competitiveness of enterprises.significance.The accurate path planning of AGV is a necessary guarantee for realizing an efficient and safe workshop logistics transportation system.Therefore,this paper makes a deep study on the path planning of forklift AGV.Firstly,the main structure and working principle of forklift AGV were introduced in this paper,and the intelligent logistics system was planned and designed.By comparing the advantages,disadvantages and adaptability of the exact algorithm,the traditional algorithm and the sub-heuristic algorithm,we decided to use the genetic algorithm as the solution algorithm of this paper to prepare for the path planning of AGV.Secondly,through in-depth exploration of the meaning and characteristics of the distribution path optimization problem of AGV logistics system,an environmental electronic map model based on the topology map method and a mathematical model based on the shortest walking path of the AGV were established.Then,according to the established model,the genetic algorithm was used to solve the problem.In order to overcome the shortcomings of premature convergence of genetic algorithm,the genetic algorithm was improved to enhance the optimization ability of the algorithm.Finally,the priority-based traffic rules and conflict detection methods were developed to constrain the AGV’s traffic policy,and the path adjustment method was used to solve the conflict problems that cannot be avoided by using rules to achieve multi-AGV path planning.And through examples,we studied the path of three AGVs in the system and analyzed the conflict problems that may occur when AGVs passed through the nodes at a certain moment,and used the established rules to avoid the collision risk,so as to ensure the coordinated operation of multiple AGVs in the system.The results indicate that the improved genetic algorithm can more effectively solve the path planning problem of single AGV in the workshop.Moreover,the priority-based traffic rules are feasible methods to solve the path coordination problem of multi-AGVs in the workshop.The research on AGV path planning problems in this paper can provide decision reference for solving practical problems in intelligent workshops.