Design of Bao-steel coal moisture control system based on neural network method

Author

Jiang Wenping ; Li Zhenyu ; Chen Minfang ; Xu Yiwen ; Li Lianghua ; Zhang Fuxing ; Wang Jianhua ; Xia Naijie

Author_Institution

Sch. of Electr. & Electron. Eng., Shanghai Inst. of Technol., Shanghai, China

fYear

2014

fDate

28-30 July 2014

Firstpage

2958

Lastpage

2963

Abstract

Coal moisture control process (CMC) in Bao-Steel is an open-loop nonlinear system. An effective control method for CMC is provided in this paper. First, principal parameters of the system are selected by statistical analysis of history data and summary work experience; Second, BP Neural Network is specified and its structure is determined by repeated experiments. Then, calculation of heat balance is used to verify the efficiency of the method; At last, the system is put into operation and produces a good effect.

Keywords

backpropagation; coal; control system synthesis; moisture control; neurocontrollers; nonlinear control systems; open loop systems; statistical analysis; BP neural network; CMC; bao-steel coal moisture control system design; history data; neural network method; open-loop nonlinear system; statistical analysis; summary work experience; Coal; Heating; Moisture; Moisture control; Neural networks; Production; Training; Calculation of Heat Balance; Coal Moisture Control; Design of Neural Network; Statistical Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6897111

Filename

6897111