THE ROLE OF INTELLECTUAL CONTROL SYSTEMS FOR BELT CONVEYORS IN INDUSTRY
Main Article Content
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.
Article Details
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