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New loop pairing criterion based on interaction and integrity considerations |
Ling-jian Ye, Zhi-huan Song* |
Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China |
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Abstract Loop pairing is one of the major concerns when designing decentralized control systems for multivariable processes. Most existing pairing tools, such as the relative gain array (RGA) method, have shortcomings both in measuring interaction and in integrity issues. To evaluate the overall interaction among loops, we propose a statistics-based criterion via enumerating all possible combinations of loop statuses. Furthermore, we quantify the traditional concept of integrity to represent the extent of integrity of a decentralized control system. Thus, we propose that a pairing decision should be made by taking both factors into consideration. Two examples are provided to illustrate the effectiveness of the proposed criterion.
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Received: 17 April 2009
Published: 28 April 2010
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Fund: Project supported by the National High-Tech Research and Devel-opment Program (863) of China (No. 2009AA04Z154), and the Na-
tional Natural Science Foundation of China (No. 60736021) |
New loop pairing criterion based on interaction and integrity considerations
Loop pairing is one of the major concerns when designing decentralized control systems for multivariable processes. Most existing pairing tools, such as the relative gain array (RGA) method, have shortcomings both in measuring interaction and in integrity issues. To evaluate the overall interaction among loops, we propose a statistics-based criterion via enumerating all possible combinations of loop statuses. Furthermore, we quantify the traditional concept of integrity to represent the extent of integrity of a decentralized control system. Thus, we propose that a pairing decision should be made by taking both factors into consideration. Two examples are provided to illustrate the effectiveness of the proposed criterion.
关键词:
Control structure design,
Decentralized control,
Interaction analysis,
Variable pairing,
Relative gain array
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