基于递推子空间的氧化铝浓度预测控制  

Predictive Control of Alumina Concentration Based on Recursive Subspace

作　　者：阎群[1] 梁佳宇 刘波 崔家瑞[1] 李擎[1] 黄若愚[3] YAN Qun;LIANG Jiayu;LIU Bo;CUI Jiarui;LI Qing;HUANG Ruoyu(School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China;School of Information Engineering,Jingdezhen University,Jingdezhen 333400,Jjiangxi,China;Guiyang Aluminum Magnesium Design&Research Institute Co.,Ld.,Guiyang 550003,China)

机构地区：[1]北京科技大学自动化学院,北京100083 [2]景德镇学院信息工程学院,江西景德镇333400 [3]贵阳铝镁设计研究院有限公司,贵阳550003

出　　处：《北京工业大学学报》2023年第4期467-474,共8页Journal of Beijing University of Technology

基　　金：国家自然科学基金资助项目(61903026);贵州省科技成果应用及产业化项目(黔科合成果[2021]一般085);中国博士后基金资助项目(2021M690798)。

摘　　要：为实现氧化铝浓度精确控制,基于子空间辨识及模型预测控制技术,提出一种递推子空间氧化铝浓度自适应预测控制方法.首先,采用带遗忘因子的递推子空间算法,建立氧化铝浓度的在线预测模型,自适应地根据铝电解过程工况变化准确预测氧化铝浓度;然后,应用预测控制实现氧化铝浓度的自适应控制;最后,基于某铝厂实际生产数据开展实验研究,验证所提控制方法在氧化铝浓度精确控制上的有效性和优越性.To achieve accurate control of alumina concentration in aluminum electrolysis proces,an adaptively predictive control method of recursive subspace for alumina concentration was proposed based on subspace identification and model predictive control technology.First,the recursive subspace algorithm with forgetting factor was used to establish an online prediction model of alumina concentration,which could adaptively predict the alumina concentration according to the change of working conditions.Then,the established model was applied to predictive control to achieve adaptive control of alumina concentration.Finally,based on the actual production data of an aluminum plant,experimental research was carried out to verify the effectiveness and superiority of the proposed control method for precise control of alumina concentration.

关 键 词：铝电解 氧化铝浓度 子空间辨识 递推最小二乘 预测控制 子空间预测控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]