Comparison of non-linear, linearized 2nd order and reduced to FOPDT models of CSTR using different tuning methods [Electronic resource] / Munna Kumar, R. S. Singh
Уровень набора: (RuTPU)RU\TPU\prd\247369, 2405-6537, Resource-Efficient Technologies, electronic scientific journal / National Research Tomsk Polytechnic University (TPU) = 2015-Язык: английский.Страна: Россия.Резюме или реферат: Process modelling and design of controller based on the process model is an important step in the process control. In the present study three different mathematical models i.e. non-linear process model, linearized 2nd order model and first order with dead time (FOPDT) model of a CSTR with the concentration of output of product as controlled parameter were developed. Proportional Integral (PI) controllers were designed based on 2nd order and FOPDT models of a CSTR using SIMC (Skogestad internal model control), Hagglund and Astrom, and a computational method with 5% overshoot. In all the three tuning methods, the nonlinear model provided better results in terms of various time parameters (Tr, Ty, Ts) and in error analysis (IAE, ITAE and ISE)..Примечания о наличии в документе библиографии/указателя: [References: p. S75 (17 tit.)].Тематика: труды учёных ТПУ | электронный ресурс | ПИ-регуляторы Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: p. S75 (17 tit.)]
Process modelling and design of controller based on the process model is an important step in the process control. In the present study three different mathematical models i.e. non-linear process model, linearized 2nd order model and first order with dead time (FOPDT) model of a CSTR with the concentration of output of product as controlled parameter were developed. Proportional Integral (PI) controllers were designed based on 2nd order and FOPDT models of a CSTR using SIMC (Skogestad internal model control), Hagglund and Astrom, and a computational method with 5% overshoot. In all the three tuning methods, the nonlinear model provided better results in terms of various time parameters (Tr, Ty, Ts) and in error analysis (IAE, ITAE and ISE).
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