Multiple Model Adaptive Control of CSTR
HU Guang-da
Abstract
HU Guang-da
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.
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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)