| 基于差分进化算法的控制变量参数化方法及其在化工过程动态优化中的应用(英文) |
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| 引用本文： | 孙帆,钟伟民,程辉,钱锋.基于差分进化算法的控制变量参数化方法及其在化工过程动态优化中的应用(英文)[J].中国化学工程学报,2013,21(1):64-71. |
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| 作者姓名： | 孙帆 钟伟民 程辉 钱锋 |
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| 作者单位： | 1.Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education), East China University of Science and Technology, Shanghai 200237, China;2.Department of Automation, East China University of Science and Technology, Shanghai 200237, China |
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| 基金项目： | Supported by the Major State Basic Research Development Program of China(2012CB720500);the National Natural Science Foundation of China(Key Program:U1162202);the National Science Fund for Outstanding Young Scholars(61222303);the National Natural Science Foundation of China(61174118,21206037);Shanghai Leading Academic Discipline Project(B504) |
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| 摘 要： | Two general approaches are adopted in solving dynamic optimization problems in chemical processes, namely, the analytical and numerical methods. The numerical method, which is based on heuristic algorithms, has been widely used. An approach that combines differential evolution (DE) algorithm and control vector parameterization (CVP) is proposed in this paper. In the proposed CVP, control variables are approximated with polynomials based on state variables and time in the entire time interval. Region reduction strategy is used in DE to reduce the width of the search region, which improves the computing efficiency. The results of the case studies demonstrate the feasibility and efficiency of the proposed methods.
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| 关 键 词： | control vector parameterization differential evolution algorithm dynamic optimization chemical processes |
| 收稿时间： | 2012-07-30 |
Novel Control Vector Parameterization Method with Differential Evolution Algorithm and Its Application in Dynamic Optimization of Chemical Processes |
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| SUN Fan
,
ZHONG Weimin
,
CHENG Hui
,
QIAN Feng.Novel Control Vector Parameterization Method with Differential Evolution Algorithm and Its Application in Dynamic Optimization of Chemical Processes[J].Chinese Journal of Chemical Engineering,2013,21(1):64-71. |
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| Authors: | SUN Fan ZHONG Weimin CHENG Hui QIAN Feng |
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| Affiliation: | 1.Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education), East China University of Science and Technology, Shanghai 200237, China;2.Department of Automation, East China University of Science and Technology, Shanghai 200237, China |
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| Abstract: | Two general approaches are adopted in solving dynamic optimization problems in chemical processes, namely, the analytical and numerical methods. The numerical method, which is based on heuristic algorithms, has been widely used. An approach that combines differential evolution (DE) algorithm and control vector parameterization (CVP) is proposed in this paper. In the proposed CVP, control variables are approximated with polynomials based on state variables and time in the entire time interval. Region reduction strategy is used in DE to reduce the width of the search region, which improves the computing efficiency. The results of the case studies demonstrate the feasibility and efficiency of the proposed methods. |
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| Keywords: | control vector parameterization differential evolution algorithm dynamic optimization chemical processes |
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