文献类型：会议论文

英文题名：Model reference adaptive control using genetic algorithm and neural network for gas collectors of coke ovens

作者：Li, Hongxing[1]; Dou, Erfei[2]; Zhang, Yinong[1]

通讯作者：Li, H.

机构：[1] Automation College, Beijing Union University, Beijing 100101, China; [2] Information College, Beijing Union University, Beijing 100101, China

第一机构：北京联合大学城市轨道交通与物流学院

会议论文集：2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010

会议日期：4 August 2010 through 7 August 2010

会议地点：Xi'an

语种：英文

外文关键词：Backpropagation - Coke - Coke ovens - Genetic algorithms - Model reference adaptive control

摘要：The pressure system of gas collectors of coke oven is a multivariable non-linear process. A model reference adaptive control using the genetic algorithm and the neural network for the pressure system of gas collectors of coke ovens is proposed 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. ? 2010 IEEE.