2009•Jisuanji fangzhenRequires access

Multiple Model Adaptive Control of CSTR

HU Guang-da

Open publisher page 3 citations

Abstract

The controller based on multiple models is a very effective and available tool for the control of nonlinear system. According the state equation of a chemical industry process--continuous stirred tank reactor (CSTR), multiple linear models were designed to approximate the dynamic character of the system. Based on these multiple models, a multi-model controller was formed by using fuzzy principle. The property of this fuzzy multi-model controller was analyzed in different aspects. From simulation, it can be seen that the fuzzy multi-model controller can force the output of the CSTR system to trace a set-point value very well.

About this research paper

What this paper is about

The controller based on multiple models is a very effective and available tool for the control of nonlinear system. According the state equation of a chemical industry process--continuous stirred tank reactor (CSTR), multiple linear models were designed to approximate the dynamic character of the system. Based on these multiple models, a multi-model controller was formed by using fuzzy principle. The property of this fuzzy multi-model controller was analyzed in different aspects. From simulation, it can be seen that the fuzzy multi-model controller can force the output of the CSTR system to trace a set-point value very well.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The controller based on multiple models is a very effective and available tool for the control of nonlinear system. According the state equation of a chemical industry process--continuous stirred tank reactor (CSTR), multiple linear models were designed to approximate the dynamic character of the system. Based on these multiple models, a multi-model controller was formed by using fuzzy principle. The property of this fuzzy multi-model controller was analyzed in different aspects. From simulation, it can be seen that the fuzzy multi-model controller can force the output of the CSTR system to trace a set-point value very well.

Key concepts: Continuous stirred-tank reactor, Control theory (sociology), Controller (irrigation), Nonlinear system, Fuzzy logic, TRACE (psycholinguistics), Control engineering, Process (computing)

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