Membrane Science and Technology

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Three-stage model of gas membrane separation based on least squares support vector machine

Authors： LI Guixiang1, WANG Lei1, 3*, WANG Yuanqi2, LI Jiding3

Units： 1College of Information Science & Technology, Hainan University, Haikou 570228, China;2Dalian YuMing Senior High School, Dalian 116023, China;3The State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China

KeyWords： gas membrane separation technology; least squares support vector machine; three-stage; on-line detection; real-time optimal control

ClassificationCode：TP183

year,volume(issue):pagination： 2013, 33(6):71-77

Abstract：

A three-stage intelligent model of gas membrane separation process was proposed, and was applied to analysis the key performance parameters of hydrogen recovery membrane separation process in real time. Firstly, combined grid search and cross validation with bayes estimation were used to obtain the optimal value of two important parameters (i.e.,sig2 and gam ) of least squares support vector machine; then, three-stage model of hydrogen recovery membrane separation process based on least squares support vector machine was built. Finally, modeling program was wrote based on Matlab2010a and field data, and the key performance parameters of hydrogen recovery membrane separation process was predicted and analysis on-line. The simulation results show that the model is reasonable, its convergence speed is very fast, and the prediction results of the model are in good agreement with the measurement values with reasonable errors. It well reflects the good separation performance of the membrane module of the three-stage membrane process. This study has a great significance for the research of on-line detection of important performance parameters and its optimal control in the gas membrane separation process.

Funds：

海南省自然科学基金（211012）；国家科技支撑计划课题（2012BAA10B03）；国家973项目（2009CB623404）；国家自然科学项目基金（20736003,21176135）

AuthorIntro：

李桂香（1988-），女，湖南永州人，硕士, 研究方向：智能检测。通讯作者：王磊（1966-），男, 辽宁大连人，博士, 高级工程师, 研究方向：绿色分离过程与优化控制系统、低碳节能技术及产业化。E-mail: wanglei0520@126.com

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