IDENTIFICATION OF THE DYNAMIC CHANNELS PARAMETER'S FOR THE AIRFLOW HEAT EXCHANGER

UDC 681.53

  • Hryniuk Dzmitry Anatol’yevich − PhD (Engineering), Associate Professor, Assistant Professor, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). Е-mail: hryniuk@tut.by

  • Oliferovich Nadezhda Mikhaylovna − Senior Lecturer, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). Е-mail: oliferovich@belstu.by

  • Suhorukova Irina Gennad’yevna − Senior Lecturer, the Department of Software Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). Е-mail: irina_x@rambler.ru

  • Orobei Igor Olegovich − PhD (Engineering), Associate Professor, Assistant Professor, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). Е-mail: orobei@tut

DOI: https://doi.org/10.52065/2520-6141-2022-260-2-70-79

Key words: identification, nonlinear dynamics, dynamics of heat exchangers.

For citation: Hryniuk D. A., Oliferovich N. M., Suhorukova I. G., Orobei I. O. Identification of the dynamic channels parameter's for the airflow heat exchanger. Proceedings of BSTU, issue 3, Physics and Mathematics. Informatics, 2022, no. 2 (260), pp. 70–79 (In Russian). DOI: https://doi.org/10.52065/2520-6141-2022-260-2-70-79.

Abstract

The article explores the method of choosing the optimal type of mathematical model and determining its parameters by control channels using the example of an airflow heat exchanger. To this end, a number of active experiments were performed to select the transfer function identification template for the object. The choice of templates used is due to the analysis of the literature and the limited number of identification coefficients. Increasing the order of the control channel model for applied problems is not rational due to the non-linear nature of the properties of most technological processes. The results of the experiment confirmed that the dynamic parameters of the model are subject to constant random changes. For the studied thermal control object, which is located in a heated room, fluctuations in dynamic parameters exceeded 5%.

Nonlinear properties of heat exchangers necessitate a series of experiments. The analysis of overclocking characteristics was carried out by numerical methods for different templates by minimizing the deviation between the experimental data and the linear model. To determine the output parameters of the control object, three primary transducers were used: two temperature sensors and one humidity sensor. Temperature sensors were installed at one point in space, but had significant differences in design and installation method. At the same time, the results show that heat transfer in such objects is rather complicated. Comparison of transfer functions for two temperature sensors does not allow us to separate the dynamics of the sensor itself from the dynamics of the control object based on experimental data.

Analysis of the identification results showed that the best option for this object would be to use a second-order aperiodic link with a delay. In this case, the quality of the approximation depends on the direction of the driving action.

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15.06.2022