文献类型：会议论文

英文题名：Researches on the Mixture Compensating Method Based on Dynamic Neural Network and Genetic Algorithm

作者：Zhao, Weilun[1,2] Wang, Yan[1,2] Zhou, Yucheng[3] Jing, Yuanwei[2]

第一作者：Zhao, Weilun

通信作者：Zhao, WL[1]

机构：[1]Shenyang Inst Engn, Shenyang 110136, Liaoning, Peoples R China;[2]Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China;[3]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China

会议论文集：23rd Chinese Control and Decision Conference

会议日期：MAY 23-25, 2011

会议地点：Mianyang, PEOPLES R CHINA

语种：英文

外文关键词：Mixture control; PLC; Dynamic neural network; Genetic algorithm

年份：2011

摘要：Because of complexity of automatic mixture system, conventional compensating control method cannot meet the required question precisely. A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture. Simulation is studied by collecting the mixture historical data from field engineering. And the simulation results illustrate that the method can reduce the mixture error effectively.