Paper
30 December 2024 An overshoot-free high-precision multi-point hydraulic platform leveling algorithm for heavy-load AGV
Yongbo Li, Yanyan Pi, Binpeng Zhang, Zeyuan Feng
Author Affiliations +
Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 133941M (2024) https://doi.org/10.1117/12.3052066
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China
Abstract
With the rapid development of artificial intelligence technology, the intelligent manufacturing and logistics transportation industries are undergoing profound changes. The rise of China's manufacturing industry has further intensified the growth in demand for the transportation of large and heavy objects. Traditional transportation methods such as cranes, manned freight, rail cars, etc. are no longer able to meet the growing demand and safety requirements. Therefore, heavy-duty Automated Guided Vehicle(AGV) emerged as the times require. Our company has successfully manufactured an Automated Guided Vehicle(AGV) with a load capacity of 360 tons and put it into actual use. In order to solve the problem of load stability of heavy-duty Automated Guided Vehicle(AGV) on complex roads, this paper designs an automatic leveling control system based on a multi-point hydraulic platform and constructs the transfer function of the system. Through simulation verification, the fusion of the highest-point leveling strategy and the fuzzy PID algorithm proposed in this article perform well in the leveling control of heavy-load Automated Guided Vehicle(AGV). Compared with the traditional algorithm, there is no overshoot phenomenon, high stability, and can be achieved within 2.5 seconds. Reach a steady state with smaller steady-state error.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yongbo Li, Yanyan Pi, Binpeng Zhang, and Zeyuan Feng "An overshoot-free high-precision multi-point hydraulic platform leveling algorithm for heavy-load AGV", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 133941M (30 December 2024); https://doi.org/10.1117/12.3052066
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KEYWORDS
Control systems

Fuzzy logic

Industry

Sensors

Manufacturing

Computer simulations

Roads

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