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基于水泥粒度工况模板的联合粉磨系统建模 被引量:1

Modeling of the Combined Grinding System Based on the Cement Particle Size Mode Template
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摘要 针对带有水泥粒度的水泥联合粉磨系统建模问题,以粒度分析仪为检测手段,将数据预处理、回归分析和LS_SVM相结合,提出一种分工况的联合粉磨建模方法。首先,根据生产工艺和现场经验,分析了变量之间的影响因子,并借助水泥粒度样本数据划分了工况模板;其次,选取选粉机转度、主排风机转速为控制量,<45μm筛余作为状态变量;再次,考虑到工况1占全工况运行时间较少,采用回归分析算法建立多输入和单输出的动态模型。对于工况2,采用LS_SVM建立联合粉磨的动态模型;最后,进行仿真验证,结果显示所拟合的模型是有效的。 For the modeling problem of the cement grinding system combined with cement particle size, this paper uses the particle size analyzer as detection means. Based on the theory of data preprocessing, regression analysis and LS_SVM, a combined grinding modeling method for a partial working condition is proposed. Firstly, according to the production process and field experience, the influence factors of the variables are analyzed, and the working conditions are divided based on the cement particle size sample data; Secondly, the separator speed and the main exhaust fan speed are selected as control variables and the 〈45μm tail over is selected as the state variable; Thirdly, considering the operating time of the condition 1, the dynamic model with multiple inputs and single output is established by using the regression analysis algorithm. For the working condition 2, the dynamic model of the joint grinding which is established by LS_SVM is applied. Finally, the simulation is carried out and the results show that the fitting model is effective.
出处 《控制工程》 CSCD 北大核心 2016年第9期1343-1348,共6页 Control Engineering of China
基金 智能化工厂关键技术研究与应用示范(2015ZDXX0101F01) 水泥生产过程智能集成优化控制技术研究与产业化(2014CGZH0601)
关键词 工况模板 回归分析 LS_SVM 水泥粒度 动态模型 Mode template regression analysis LS_SVM cement particle size dynamic model
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