Nonlinear Internal Model Control Using Neural Networks for Gas Collectors of Coke Oven

摘要：

The pressure system of gas collectors of coke oven is a multivariable non-linear process. An internal model control using neural networks for the pressure system of gas collectors of coke oven is presented in this paper. The neural model of the system is identified by the genetic algorithm. Another neural network is trained to learn the inverse dynamics of the system so that it can be used as a nonlinear controller. Because of the limitation of BP algorithm, the genetic algorithm is used to find the fitness weights and thresholds of the neural network model, and the simulation results testify that the model is satisfied and the control is effective.

作者: Hongxing Li Yinong Zhang Xuetao Wu

作者单位: Automation College,Beijing Union University,Beijing 100101,P. R. China Information College,Beijing Union University,Beijing 100101,P. R. China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 1177-1182

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）