Multiple-model predictive control for component content of CePr/Nd countercurrent extraction process

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• 作者：Hui Yang ; ^a ; ^b ; ^{yhshuo@263.net" class="auth_mail" title="E-mail the corresponding author} ; ^{yhshuo@163.com" class="auth_mail" title="E-mail the corresponding author} ; Lijuan He^a ; ^b ; Zhiyong Zhang^a ; ^b ; Rongxiu Lu^a ; ^b ; Chang Tan^a ; ^b
• 关键词：Component content control ; Multiple models ; Multivariable ; Predictive control ; Rare earth countercurrent extraction
• 刊名：Information Sciences
• 出版年：2016
• 出版时间：10 September 2016
• 年：2016
• 卷：360
• 期：Complete
• 页码：244-255
• 全文大小：866 K

文摘

A new multiple-model predictive control scheme is proposed for the control of the component content in the rare earth extraction process. Multiple local linear models with two-input and two-output of the rare earth countercurrent extraction process are constructed, each of which is established under an operation condition. A component content predictive controller is designed for a local linear model, based on the dynamic compensation of the extraction liquid flow and the scrubbing liquid flow. A switching algorithm based on the minimum accumulative error is formed to select the most appropriate model and controller to meet the productive purity requirements. Simulation results for the CePr/Nd countercurrent extraction process are presented to show the desired performance of the proposed approach.