Optimal Selection of Dominant Measurements and Manipulated Variables for Production Control

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• 作者：Wuendy Abi Assali ; Thomas McAvoy
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2010
• 出版时间：September 1, 2010
• 年：2010
• 卷：49
• 期：17
• 页码：7832-7842
• 全文大小：344K
• 年卷期：v.49,no.17(September 1, 2010)
• ISSN：1520-5045

文摘

The main objective in operating a chemical plant is to improve profit while assuring products meet required specifications and plant operation satisfies environmental and operational constraints. A subobjective that directly affects profit is to improve the control performance of key economic variables in the plant, particularly the production rate and quality. An optimal control-based approach is proposed to determine a set of dominant measurements and manipulated variables and to structure them to improve control of the production rate and product quality. After the dominant variables are identified, a decentralized control structure is designed to control these variables. Then, a model predictive controller (MPC) is built on top of the decentralized control structure. The approach is applied to the Tennessee Eastman Process to demonstrate its effectiveness.