Abstract
A dynamic model of processes heat-mass exchange for a spray-type humidifier, which is used in artificial microclimate systems, is obtained. Based on the analysis of the equations of material and thermal balances, a dynamic model is obtained, which is presented in the form of a system of differential equations, in the state space, in the form of transfer functions. The dynamic model makes it possible to analyze the properties of transients for the spray-type humidifier along the main channels of influence in the coordinates of temperature and air moisture content. Using the example of an industrial air conditioner VEZA KCKP-80, a numerical simulation of transient processes for a spray-type humidifier was carried out. The obtained dynamic model is an integral part for a complex mathematical description of the industrial air conditioner. An essential advantage of the model in the state space is the possibility of using a vector-matrix mathematical apparatus for the synthesis, research, and optimization of a multidimensional control system.
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References
Golinko, I.M.: Principles of automatic control systems synthesis for industrial air conditioners. Autom. Technol. Bus.-Process. 8, 33–42 (2016)
Golinko, I., Galytska, I.: Mathematical model of heat exchange for non-stationary mode of water heater. In: ICCSEEA 2019: Advances in Computer Science for Engineering and Education II, pp. 58–67 (2019)
Golinko, I.M.: The dynamic model of heat-mass exchange for water cooling of industrial air conditioning. Sci. Technol. NTUU “KPI” 6, 27–34 (2014)
Nikolaeva, K.A., Golinko, I.M.: Dynamic model of a heater in the state space. In: 14th International Scientific and Practical Conference “Modern Problems of Scientific Support of Power Engineering”, Kyiv, p. 28 (2016). (in Ukrainian)
Poonam, S., Agarwal, S.K., Kumar, N.: Advanced adaptive particle swarm optimization based SVC controller for power system stability. Int. J. Intell. Syst. Appl. (IJISA) 7(1), 101–110 (2014)
Puangdownreong, D.: Multiobjective multipath adaptive Tabu search for optimal PID controller design. Int. J. Intell. Syst. Appl. (IJISA) 7(8), 51–58 (2015)
Misra, Y., Kamath, H.R.: Design algorithm and performance analysis of conventional and fuzzy controller for maintaining the cane level during sugar making process. Int. J. Intell. Syst. Appl. (IJISA) 7(1), 80–93 (2014)
Yazdanpanah, A., Piltan, F., Roshanzamir, A., Mirshekari, M., Mozafari, N.: Design PID baseline fuzzy tuning proportional derivative coefficient nonlinear controller with application to continuum robot. Int. J. Intell. Syst. Appl. (IJISA) 6(5), 90–100 (2014)
Soukkou, A., Belhour, M.C., Leulmi, S.: Review, design, optimization and stability analysis of fractional-order PID controller. Int. J. Intell. Syst. Appl. (IJISA) 8(7), 73–96 (2016)
Lakshmi, K.V., Srinivas, P., Ramesh, C.: Comparative analysis of ANN based intelligent controllers for three tank system. Int. J. Intell. Syst. Appl. (IJISA) 8(3), 34–41 (2016)
Belova, E.M.: Central Air Conditioning Systems in Buildings. Euroclimate, Moscow (2006)
Kokhansky, A.I., Kolpakchi, E.M.: Identification of the transfer functions of the charge air cooler. Autom. Ship Tech. Equip. 12, 68–77 (2007)
Air conditioning systems. VEZA. Catalog 2012, 166 p. (2012)
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Golinko, I., Galytska, I. (2021). Mathematical Modeling of Dynamic Heat-Mass Exchange Processes for a Spray-Type Humidifier. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education III. ICCSEEA 2020. Advances in Intelligent Systems and Computing, vol 1247. Springer, Cham. https://doi.org/10.1007/978-3-030-55506-1_6
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