AGVs are characterized by their wheeled movement, offering advantages over walking, crawling, or other non-wheeled mobile robots, including faster movement, higher work efficiency, simpler structure, strong controllability, and good safety. Traditional AGVs utilize electromagnetic guidance, magnetic tape guidance, and optical guidance to establish their travel routes, resulting in single paths suitable only for fixed operational processes. This approach is no longer sufficient to meet the demands of modern logistics systems.
In China, with the rapid development of logistics systems, the application scope of AGVs is constantly expanding. Developing AGV system technologies that meet user needs in various aspects (functionality, price, quality) is a real-world problem we must face in the future. Fully automated AGV technology aims for automation, requiring minimal human intervention. Path planning and production processes are complex and variable, making it suitable for almost all handling scenarios, especially in the intelligent warehousing and logistics industry. To pursue optimal paths, scheduling systems often generate different path plans, making traditional fixed-path guidance methods unsuitable. Inertial guidance, combined with high-precision drive and steering systems, can meet the needs of variable paths.
By improving the rotor magnetic pole structure and selecting an encoder with a memory structure, current, speed, and position closed-loop control is achieved, resulting in low torque fluctuation and precise positioning.
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