Research and Design of Weighing System of Concrete Mixing Plant

With the continuous improvement of China's infrastructure construction, concrete mixing station, as the main facility for the production of concrete, has gradually stepped into a stable market demand after explosive growth in the early stage, and the concrete industry pattern has also undergone great changes . After the overall control structure design and hardware circuit design of the weighing system are completed, in order to improve the control stability and accuracy of the weighing system, the control scheme of the batching weighing process is optimized. In the optimization control scheme, fuzzy PID control is adopted in the coarse batching process, and PID iterative learning control is adopted in the fine batching process. The feasibility and superiority of the control optimization scheme are verified by the simulation design of the two control schemes.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1145/3756423.3756464
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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Research and Design of Weighing System of Concrete Mixing Plant

Changzhong Wu, Y. T. Wang, Guitao Wang, Haibo An et al.
Industrial Automation and Control Systems
article

Research and Design of Weighing System of Concrete Mixing Plant

Changzhong Wu, Y. T. Wang, Guitao Wang, Haibo An, X. Zhu, Y. Lu
article en

Abstract

With the continuous improvement of China's infrastructure construction, concrete mixing station, as the main facility for the production of concrete, has gradually stepped into a stable market demand after explosive growth in the early stage, and the concrete industry pattern has also undergone great changes . After the overall control structure design and hardware circuit design of the weighing system are completed, in order to improve the control stability and accuracy of the weighing system, the control scheme of the batching weighing process is optimized. In the optimization control scheme, fuzzy PID control is adopted in the coarse batching process, and PID iterative learning control is adopted in the fine batching process. The feasibility and superiority of the control optimization scheme are verified by the simulation design of the two control schemes.

University of Jinan (CN)
Openalex Percentile: Top 69%
Industrial Automation and Control Systems
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