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

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.