Reconfiguration of control system of the gas mixture temperature at the furnace outlet of the catalytic reforming unit according to exploitation data of technological object | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2021. № 54. DOI: 10.17223/19988605/54/2

Reconfiguration of control system of the gas mixture temperature at the furnace outlet of the catalytic reforming unit according to exploitation data of technological object

The approach and results of an experiment on reconfiguration of an automatic control system and calculation of a combined control system based on the proposed method for identifying technological objects according to explotation data are presented. Structural and parametric identification of the object is carried out in the form of transfer functions based on the obtained frequency response. To assess the reliability of the identification of the control object, a simulation model is constructed that predicts the behavior of the controlled variable taking into account the influence of disturbing influences. The output signal of the model is a controlled parameter. Based on the results of the identification, the combined system is calculated. The condition for approximating the ideal compensating device is the compliance of the complex frequency responses at zero and resonant frequencies. To evaluate the results of building a combined system, simulation model of suppressing disturbances before and after the introduction of compensator is constructed. The advantages of the presented method of identifying the control object are passive experiment, high accuracy of the synthesized model of the object and ability to calculate a compensating device that can reduce fluctuations of the adjustable parameter. To demonstrate the described method for constructing combined control systems, the automatic control system of the temperature of the flow of a gas-feed mixture at the outlet of furnace of a catalytic reforming unit was reconfigured. Root-mean-square error and maximum outburst decreased from 3,769 °C and 0,439 °C to 0,207 °C and 0,027 °C after the introduction of the combined system.

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Keywords

combined control systems, complex frequency response, identification

Authors

NameOrganizationE-mail
Rabotnikov Mikhail A.Perm National Research Polytechnical Universityrabotnikov@pstu.ru
Aleksandrova Anna S.Perm National Research Polytechnical Universityboyarshinovaann@gmail.com
Shumikhin Aleksandr G.Perm National Research Polytechnical Universityshumichin@gmail.com
Всего: 3

References

Ротач В.Я., Шавров А.В., Бутырев В.П. Синтез алгоритмов машинного расчета оптимальных параметров систем регулирования // Теплоэнергетика. 1977. № 12. С. 75-79.
Работников М.А., Александрова А.С., Шумихин А.Г. Автоматизация обработки экспериментальной комплексной частотной характеристики при идентификации управляемого объекта // Вестник Пермского национального исследовательского политехнического университета. Химическая технология и биотехнология. 2018. № 1. С. 21-33.
Шумихин А.Г., Александрова А.С. Идентификация управляемого объекта по частотным характеристикам, полученным экспериментально на нейросетевой динамической модели системы управления // Компьютерные исследования и моделирование. 2017. Т. 9, № 5. С. 729-740.
Bakhtadze N.N., Lototsky V.A. Knowledge-based models of nonlinear systems based on inductive learning // Intelligent Systems Reference Library. 2016. V. 98. P. 85-104.
Домбровский В.В., Пашинская Т.Ю. Синтез прогнозирующих стратегий управления динамическими системами с корре лированными параметрами и мультипликативными и аддитивными шумами при ограничениях // Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2019. № 47. С. 4-11.
Saltik M.B., Ozkan L., Ludlage J.H., Weiland S., Van den Hof P.M. An outlook on robust model predictive control algorithms: Reflections on performance and computational aspects // Journal of Process Control. 2018. V. 61. P. 77-102.
Capaci R.B., Vaccari M., Pannocchia G. Model predictive control design for multivariable processes in the presence of valve stiction // Journal of Process Control. 2018. V. 71. P. 25-34.
Lorenzen M., Allgower F., Cannon M. Adaptive model predictive control with robust constraint satisfaction // IFAC-Papers On Line. 2017. V. 55, № 1. P. 3313-3318.
Lehman K.A. Implement Advanced Process Control // Chemical engineering progress. 2018. V. 114, № 1. P. 60-66.
Ицкович Э.Л. Современные алгоритмы автоматического регулирования и их использование на предприятиях // Автомати зация в промышленности. 2007. № 6. С. 39-44.
Шустова О.О., Разумова Е.И. Применение advanced process control в задачах автоматического регулирования технологи ческими установками нефтедобычи // Международный научно-исследовательский журнал. 2014. № 22. С. 50-52.
Торгашов А.Ю., Гончаров А.А., Самотылова С.А. Современные методы построения систем усовершенствованного управ ления технологическими процессами // Вестник Дальневосточного отделения РАН. 2016. № 4 (133). С. 102-107.
 Reconfiguration of control system of the gas mixture temperature at the furnace outlet of the catalytic reforming unit according to exploitation data of technological object | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2021. № 54. DOI: 10.17223/19988605/54/2

Reconfiguration of control system of the gas mixture temperature at the furnace outlet of the catalytic reforming unit according to exploitation data of technological object | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2021. № 54. DOI: 10.17223/19988605/54/2

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