文献类型：会议论文

英文题名：Internal model control using GA-NN for boiler drum

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

通讯作者：Li, H.

机构：[1] Automation College, Beijing Union University, Beijing, China; [2] Information College, Beijing Union University, Beijing, 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：Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011

会议日期：July 26, 2011 - July 28, 2011

会议地点：Shanghai, China

语种：英文

外文关键词：Boilers - Model predictive control - Neural networks - Water levels

摘要：The water level system of boiler drum is a multi-disturbance complicated process. An internal model control using GA-NN for the water level system of boiler drum of the power plant is presented in this paper. The neural model of the system is identified as an estimator. 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. ? 2011 IEEE.