An Identification Method Based on the Improved NLJ Algorithm and Its Application

The accurate model is the most important and basic condition for the application of advanced process control, but the conventional methods do not provide satisfactory results in the case of unstable processes. To effectively control these processes, a novel identification method （Model Parameters an...

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Bibliographic Details
Published inChinese journal of chemical engineering Vol. 15; no. 1; pp. 88 - 91
Main Author 姜景杰 甄新平 李全善 魏环 靳其兵 潘立登
Format Journal Article
LanguageEnglish
Published 01.02.2007
Subjects
内部模型控制
化工厂
改良NLJ算法
模式识别
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ISSN1004-9541
2210-321X
DOI10.1016/S1004-9541(07)60038-X

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Summary:The accurate model is the most important and basic condition for the application of advanced process control, but the conventional methods do not provide satisfactory results in the case of unstable processes. To effectively control these processes, a novel identification method （Model Parameters and Initial States Identification simultaneously in closed loop --MPISI） is proposed. The model parameters and initial states of state equation can be simultaneously identified using this method. The results of simulation and application show that this method has the advantageous of disturbance-rejection and robustness. This method proposes a novel way for the optimization and the advanced control of the process systems.
Bibliography:11-3270/TQ
new Luus-Jaakola （NLJ）, internal model control, proportional-integral-derivative （PID）, model identi- fication, initial states identification
TQ018
ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1004-9541
2210-321X
DOI:10.1016/S1004-9541(07)60038-X