Design of circulating medium density control system based on BP neural network

In order to keep circlulating medium density stabilized within the required range,the BP neural network-based density control system is designed through programming with MATLAB. The system works with the production data collected from Guobei Coal Preparation Plant as sample set,with selected circulating medium density,content of magnetic materials and medium level in tank as input variables,and with opening of regulator valve,opening of diverter valve 1 and opening of diverter valve 2 as output variables. It is determined through training and testing that the numbers of hidden layers and nodes of experimental data are respectively 1 and 9 with an error basically stabilized in a range of 0. 002~0. 012,well up to the requirement. The development of the control system may serve as a reference for solving the problems in medium density control aspect.