基于双线性模型的稀土萃取过程优化控制  

Optimal Control of Rare Earth Extraction Process Based on Bilinear Model

作　　者：陆荣秀 陈赫鹏[1,2] 杨辉 朱建勇 LU Rong-xiu;CHEN He-penge;YANG Hui;ZHU Jian-yong(School of Electrical and Automation Engineering,Nanchang 330013,China;Key Laboratory of Advanced Control and Optimization of Jiangxi Province,East China Jiaotong University,Nanchang 330013,China)

机构地区：[1]华东交通大学电气与自动化工程学院,江西南昌330013 [2]华东交通大学江西省先进控制与优化重点实验室,江西南昌330013

出　　处：《控制工程》2022年第10期1736-1742,共7页Control Engineering of China

基　　金：国家自然科学基金资助项目(61863014,61733005,61963015);国家重点研发项目(2020YFB1713700,2020YFB1713701)。

摘　　要：针对稀土萃取过程的强非线性、过程的控制通常由经验丰富的工人手动调节、效率不高等问题,提出一种基于双线性模型的稀土萃取过程控制方法,实现稀土萃取过程的自动调节。首先,以物料平衡方程为基础,结合稀土萃取过程动态特性,进行机理分析,确定模型形式;然后,对模型进行分段集结降阶简化,通过工业现场采集的数据,采用最小二乘法对模型参数进行辨识,建立具有状态滞后的双线性模型,运用广义预测控制方法实现各控制流量的优化控制;最后,基于CePr/Nd萃取过程动态数据进行仿真实验,并与文献[11]的逐点线性化方法进行对比,证明了方法的有效性。Due to the strong nonlinearity of the rare earth extraction process,the process control is usually manually adjusted by experienced workers,and the efficiency is not high.To deal with these problems,a bilinear model-based control method for the rare earth extraction process is proposed in this paper to achieve automatic adjustment of the rare earth extraction process.Firstly,based on the material balance equation and combined with the dynamic characteristics of the rare earth extraction process,the mechanism analysis is carried out to determine the model form.Then,the model is simplified by segment and order reduction.Through the data collected from the industrial site,the least square method is used to identify the model parameters,a bilinear model with state lag is established,and the generalized predictive control method is used to achieve the optimal control of each control flow.Finally,simulation experiments are conducted based on the dynamic data of CePr/Nd extraction process,and the results of this method are compared with that of other methods,which shows the effectiveness of this method.

关 键 词：稀土萃取 双线性系统 优化控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]