The Application Of Magnetic Guided AGV System In Path Tracking And Correction Based On Fuzzy Control

With the development of flexible manufacturing and automated transportsystems,Automated Guided Vehicle becoming the key transport equipment. Since thedevelopment of Multi-AGV system in the late80s of the20th century, the research onMulti-AGV system has became more and more popular. As its outperforms in manyrespects. Multi-AGV system has become a glamorous research field with goodprospects in scientific research.This thesis researches the path planning and correction problems in moldingshops. According to the characteristics of magnetic guided AGV system, the paperanalyzing the problems of the navigation module. And established a correction modelusing fuzzy control algorithm to improve its navigation function. The main work isdescribed as follows:Firstly, comprehended the research background and characteristics of AGVsystem. Implemented a navigation correction module to improve its accuracy.Secondly, introduce some popular guiding methods of AGV system. Summarizesome path tracking and planning methods and problems in the application of AGVsystem. Combined with the operation environmental in experimental system,described the navigation and path planning method which will used. This paperdesigned a fuzzy control system module to improve the navigation accuracy. Thesimulation result proves the feasibility.Thirdly, established a mathematical model of the path tracking and correctionproblem. This model can adjusted the path tracking accuracy online. The simulationdata prove the better tracking and correction capabilities. In addition, introduced acontroller model with fuzzy PID algorithm, illustrates the function and significance ofthe model. Point out the application significance of fuzzy PID control in AGV system.Fourthly, introduced a fuzzy PID controller in the motor drive module of theexperimental system. Using environmental information which is collected bymagnetic sensor and other sensors located in AGV vehicles to control AGV cars. Thepath tracking and correction ability of system is improved.