文献类型：会议论文

英文题名：Nonlinear Internal Model Control Using Neural Networks for Gas Collectors of Coke Oven

作者：Li, Hongxing[1];Zhang, Yinong[1];Wu, Xuetao[2]

通讯作者：Li, HX[1]

机构：[1]Beijing Union Univ, Automat Coll, Beijing 100101, Peoples R China;[2]Beijing Union Univ, Informat Coll, Beijing 100101, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Automat Coll, Beijing 100101, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：IEEE International Conference on Information and Automation (ICIA 2009)

会议日期：JUN 22-24, 2009

会议地点：Zhuhai, PEOPLES R CHINA

语种：英文

外文关键词：Coke - Coke ovens - Genetic algorithms

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.