Design of magnetic navigation automatic guided vehicle system

Abstract

Automatic Guided Vehicle is an automatic transportation robot with high universality and diversity which can drive and transport goods automatically in the established path, so it is widely used in mass production and logistics industry. In this paper, an AGV system with independent guidance and integrated network control is designed and developed. Firstly, based on the project requirements of some company and the practical problems, the basic parameters of AGV are determined, and the movement analysis of AGV is carried out to obtain its motion characteristic equation for movement control. Then the hardware of the mechanical and electronic parts of the AGV is designed. Keil uVision 5 is used for software programming. Based on the core PID algorithms, the related algorithms design of AGV paths recognition and the movement control are presented. Finally, a small AGV capable of carrying a maximum weight of 8KG is trial-produced and tested. The test data show that the position deviation can be controlled within 15mm and the maximum speed can reach 1m/s. It can communicate with the host computer in various ways. Its expansibility, stability, accuracy and real-time performance all meet the requirements of the project.