Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems

罗雄麟; 刘雨波; 许锋

doi:10.1016/S1004-9541(14)60002-1

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Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems

过程系统工程与过程安全 | Updated：2026-01-06

- Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems
- Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems
- 中国化学工程学报（英文版） 2014年22卷第1期页码：59-711004-954160002-1
- Affiliations：
  
  Research Institute of Automation, China University of Petroleum,Beijing,China,102249
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(14)60002-1
  中图分类号：
- 纸质出版：2014
- Accepted：
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罗雄麟, 刘雨波, 许锋. Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems[J]. 中国化学工程学报（英文版）, 2014,22(1):59-711004-954160002-1.

LUO Xionglin, LIU Yubo, XU Feng. Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems[J]. Chin.J.Chem.Eng., 2014, 22(1): 59-71.
罗雄麟, 刘雨波, 许锋. Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems[J]. 中国化学工程学报（英文版）, 2014,22(1):59-711004-954160002-1. DOI： 10.1016/S1004-9541(14)60002-1.

LUO Xionglin, LIU Yubo, XU Feng. Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems[J]. Chin.J.Chem.Eng., 2014, 22(1): 59-71. DOI： 10.1016/S1004-9541(14)60002-1.

摘要

Abstract

Industrial processes are mostly large-scale systems with high order. They use fully centralized control strategy

the parameters of which are difficult to tune. In the design of large-scale systems

the decomposition according to the interaction between input and output variables is the first step and the basis for the selection of control structure. In this paper

the decomposition principle of processes in large-scale systems is proposed for the design of control structure. A new variable pairing method is presented

considering the steady-state information and dynamic response of large-scale system. By selecting threshold values

the related matrix can be transformed into the adjoining matrixes

which directly measure the couple among different loops. The optimal number of controllers can be obtained after decomposing the large-scale system. A practical example is used to demonstrate the validity and feasibility of the proposed interaction decomposition principle in process large-scale systems.

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