Neural Networks Control of the Ni-MH Power Battery Positive Mill Thickness

This paper analyzes the process and control of nanohydrogen storage alloy strip rolling. We design a nonlinear model of rolling mill, use the neural network control scheme, and we adopt the rolling process of mathematical modeling, and use the model of the mathematical method in quantitative analysis. Finally, we use the system of computer simulation, at the end we draw the following conclusions. In strip rolling process, using a neural network system for control, far superior to the introduction of PI control, not only solved the rolling process with variable delay and variable gain and other shortcomings, and that the hydrogen storage alloy electrochemical performance was improved, the production process to ensure the high quality of hydrogen storage alloy, reducing energy consumption, saving raw materials, reduce the labor intensity of operating staff is of great significance.