TIME-VARIANT MODEL OF HEAT-AND-MASS EXCHANGE FOR STEAM HUMIDIFIER

Igor Golinko

conis@ukr.net
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Automation of Heat and Power Engineering Processes (Ukraine)
http://orcid.org/0000-0002-7640-4760

Volodymyr Drevetskiy


National University of Water and Environmental Engineering, Department of Automation, Electrical Engineering and Computer-Integrated Technologies (Ukraine)
http://orcid.org/0000-0001-8999-2226

Abstract

The dynamical model of heat-mass exchange for a steam humidifier with lumped parameters, which can be used for synthesis of control systems by inflowing-exhaust ventilation installations, or industrial complexes of artificial microclimate, is considered. A mathematical description that represents the dynamical properties of a steam humidifier concerning the main channels of control and perturbation is presented. Numerical simulation of transient processes for the VEZA KCKP-20 humidification chamber to the influence channels was carried out. The achieved dynamical model of a humidification chamber can be the basis for the synthesis of automatic control systems and simulation of transient states. A significant advantage of the obtained mathematical model in the state space is the possibility of synthesis and analysis of a multidimensional control system.


Keywords:

dynamical model, state space, steam humidifier

Belova E.M.: Central Air Conditioning Systems in Buildings. Euroclimate, Moscow 2006.
  Google Scholar

Conditioners Central KCKP. Catalog Equipment VEZA. 2019 http://www.veza.ru/docs/konditsionery-tsentralnye-ktskp
  Google Scholar

Deacha P.: Multiobjective Multipath Adaptive Tabu Search for Optimal PID Controller Design. International Journal of Intelligent Systems and Applications 7, 2015, 51–58.
DOI: https://doi.org/10.5815/ijisa.2015.08.07   Google Scholar

Golіnko І.M.: The dynamic model of heat-mass exchange for water cooling of industrial air conditioning. Science and Technology NTUU KPI 6, 2014, 27–34.
DOI: https://doi.org/10.15863/TAS.2015.07.27.6   Google Scholar

Golinko І.М., Kubrak N.А.: Modeling and Optimization of Control Systems. Ruta, Kamyanets-Podilskii 2012.
  Google Scholar

Golinko І.М., Ladanuk A.P., Koshelieva L.D.: Dynamic Model of the Calorifier Heat Mode. Information Technology and Computer Engineering 3, 2009, 59–63.
  Google Scholar

Pankratova N., Bidyuk P., Golinko I.: Decision Support System for Microclimate Control at Large Industrial Enterprises. Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 489-498.
  Google Scholar

Lakshmi K.V., Srinivas P., Ramesh C.: Comparative Analysis of ANN based Intelligent Controllers for Three Tank System. International Journal of Intelligent Systems and Applications 8, 2016, 34–41.
DOI: https://doi.org/10.5815/ijisa.2016.03.04   Google Scholar

Poonam S., Agarwal S.K., Narendra K.: Advanced Adaptive Particle Swarm Optimization based SVC Controller for Power System Stability. International Journal of Intelligent Systems and Applications 7, 2014, 101–110.
DOI: https://doi.org/10.5815/ijisa.2015.01.10   Google Scholar

Soukkou A., Belhour M.C., Leulmi S.: Review, Design, Optimization and Stability Analysis of Fractional-Order PID Controller. International Journal of Intelligent Systems and Applications 8, 2016, 73–96.
DOI: https://doi.org/10.5815/ijisa.2016.07.08   Google Scholar

Tkachov V., Gruhler G., Zaslavski A., Bublikov A., Protsenko S.: Development of the algorithm for the automated synchronization of energy consumption by electric heaters under condition of limited energy resource. Eastern European Journal of Enterprise Technologies 8, 2018, 51–61.
DOI: https://doi.org/10.15587/1729-4061.2018.126949   Google Scholar

Vychuzhanin V.V.: Mathematical models of non-stationary modes of air processing in the central ACS. Bulletin of the Odessa National Maritime University 23, 2007, 172–185.
  Google Scholar

Vychuzhanin V.V.: Scientific and technical bases of operation of ship's central systems of comfortable air conditioning. Dissertation of technical doctor sciences, 2009.
  Google Scholar

Yazdanpanah A., Piltan F., Roshanzamir A.: Design PID Baseline Fuzzy Tuning Proportional Derivative Coefficient Nonlinear Controller with Application to Continuum Robot. International Journal of Intelligent Systems and Applications 6, 2014, 90–100.
DOI: https://doi.org/10.5815/ijisa.2014.05.10   Google Scholar

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Published
2020-06-30

Cited by

Golinko, I., & Drevetskiy, V. (2020). TIME-VARIANT MODEL OF HEAT-AND-MASS EXCHANGE FOR STEAM HUMIDIFIER. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 10(2), 24–27. https://doi.org/10.35784/iapgos.924

Authors

Igor Golinko 
conis@ukr.net
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Automation of Heat and Power Engineering Processes Ukraine
http://orcid.org/0000-0002-7640-4760

Authors

Volodymyr Drevetskiy 

National University of Water and Environmental Engineering, Department of Automation, Electrical Engineering and Computer-Integrated Technologies Ukraine
http://orcid.org/0000-0001-8999-2226

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