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RBF预测控制在水泥篦冷机系统中的应用
引用本文:蔡宁,颜文俊.RBF预测控制在水泥篦冷机系统中的应用[J].水泥,2010(10):58-60.
作者姓名:蔡宁  颜文俊
作者单位:浙江大学,电气工程学院,浙江,杭州,310027
摘    要:在分析篦冷机主要性能和工作原理的基础上,根据篦冷机的工作特性,运用RBF神经网络建立控制模型,由寻优算法得到篦速来预测控制篦床压力。现场实际应用表明,RBF神经网络预测控制效果优于传统的PID控制。

关 键 词:预测控制  RBF  篦冷机  篦床压力

Application of RBF predictive control on grate cooler in cement plant
CAI Ning,YAN Wen-jun.Application of RBF predictive control on grate cooler in cement plant[J].Cement,2010(10):58-60.
Authors:CAI Ning  YAN Wen-jun
Affiliation:CAI Ning,YAN Wen-jun
Abstract:According to diagnose the operating characteristics of grate cooler,control model was established by RBF Neural Network.The grate pressure was predicted and controlled by grate speed that was obtained from optimization algorithm.The practical application showed that the predictive Control effect of RBF Neural Network was better than traditional PID control.
Keywords:RBF
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