THE ROLE OF INTELLECTUAL CONTROL SYSTEMS FOR BELT CONVEYORS IN INDUSTRY

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Akramova Madinabonu Akmal qizi

Abstract

This article is about the intelligent control system of belt conveyors, in which the model was developed in the MatLab software package as a control object, selected and implemented using control program algorithms, the parameters of which correspond to the parameters of the real technological installation to a certain extent. and its feasibility was studied.


 

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References

Singh, R., & Singh, K. (2023). Neuro-fuzzy based adaptive control for real-time tension management in continuous manufacturing processes. Applied Soft Computing , 134, 109889. httpshttps://doi.org/10.1016/j.asoc.2022.109889

Wang, L., & Zhao, Y. (2021). Evolutionary algorithm-based optimization of adaptive control parameters in industrial web tension systems. Engineering Applications of Artificial Intelligence , 100, 104176. https://doi.org/10.1016/j.engappai.2021.104176

Gupta, P., & Sharma, A. (2020). Adaptive tension control for flexible manufacturing systems using reinforcement learning. Journal of Manufacturing Syst, 54, 158-168. https://doi.org/10.1016/j.jmsy.2019.12.005

Kim, J., & Park, S. (2022). Real-time adaptive control of strip tension in rolling mills using machine learning techniques. IEEE Transactions on Industrial Informatics , 18(5), 3101-3110. https://doi.org/10.1109