Implementing power balance control of conveyor belt based on BP neural network

Xiawen Tu; Hejin Xiong; Yuanzheng Chen; Gaofei Hu

doi:10.1117/12.3046618

27 September 2024 Implementing power balance control of conveyor belt based on BP neural network

Xiawen Tu, Hejin Xiong, Yuanzheng Chen, Gaofei Hu

Author Affiliations +

Proceedings Volume 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024); 132613Q (2024) https://doi.org/10.1117/12.3046618
Event: 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 2024, Wuhan, China

Abstract

In response to the power balance issue in multi-motor drive systems of belt conveyors, this study proposes a control method based on the Back-propagation Neural Network (BPNN). This method effectively enhances the robustness and control accuracy of the system by simulating the functionality of the control system. This paper provides a detailed introduction to the construction process of the neural network model and verifies the feasibility and superiority of the proposed control strategy through simulation experiments using MATLAB software.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiawen Tu, Hejin Xiong, Yuanzheng Chen, and Gaofei Hu "Implementing power balance control of conveyor belt based on BP neural network", Proc. SPIE 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 132613Q (27 September 2024); https://doi.org/10.1117/12.3046618

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