Dynamic Behavior of Air Condition System and Temperature Control Analysis

Abstract:

A procedure for deriving a dynamic model of an air condition system was described in this paper. The system consisted of a zone, cooling coils and fan. Room thermal balance model and dynamic model of AC control system components including sensor, cooling coils and ducts, were established. This model accurately predicts the effect of inlet air temperature during closed loop control of output air temperature using chilled water flow rate as a control input. Fuzzy adaptive control (FAC) combined with proportional integral derivative (PID) control algorithms (FAC-PID) were used to control the chilled water flow rate. Computational simulations were carried out in toolbox Simulink of Matlab. The fuzzy parameters were carefully tuned to produce less oscillatory responses. The results show that the system based on FAC-PID control is capable of controlling the disturbance efficiently with less time lag and small error than PID control.

• Periodical: Applied Mechanics and Materials (Volumes 672-674)
• Pages: 1670-1675
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.672-674.1670
• Online since: October 2014
• Authors: Jing Wang*, Shi Bin Geng, Xu Han, Hua Zhang
• Keywords: Air Condition System, Control, Dynamic Behavior

References

[1] Maxwell, G.M., Shapiro, H.N. and Westra, D.G., 1989, Dynamics and control of a chilled water ciol. ASHRAE Trans, vol. 95 (Part 1): 1243-1255.

[2] Underwood, D.M. and Crawford, R.R., 1990, Dynamic nonlinear modeling of a hot-water-to-air heat exchanger for control applications, ASHRAE Trans., vol. 96: pp.149-155.

[3] Kasahara, M., Kuzuu, Y. and Matsuba, T., Hashimoto, Y, Kamimura K. and Kurosu, S., 2000, Stability analysis and tuning of PID controller in VAV systems, ASHRAE Trans., vol. 106 ( Part 2): pp.285-296.

[4] Kasahara, M., Kuzuu, Y., Matsuba, T., Hashimoto, Y., Kamimura, K. and Kurosu, S., 2000, Physical model of an air-conditioned space for control analysis. ASHRAE Trans., vol. 106 ( Part 2): pp.307-317.

[5] Tashtoush, B., Molhim, M. and Al-Rousan, M., 2005, Dynamic model of an HVAC system for control analysis, Energy, vol. 30: pp.1729-1745.

DOI: 10.1016/j.energy.2004.10.004

[6] Wang, S.W. and Jin, X.Q., 2000, Model-based optimal control of VAV air-conditioning system using genetic algorithm, Building and Environment, vol. 35: pp.471-487.

DOI: 10.1016/s0360-1323(99)00032-3

[7] Zhao, R. and Fan, C., 2002, Air Conditioning, China Architecture and Building Press (the third edition).

[8] Xue, Z., 2003, The Use of Matlab in the system of Fuzzy-PID control, Journal of Qinghai University, vol. 21: pp.39-43.

[9] Xia, D. and Weng,Y., 2004, The Theory of Auto Control, China Machine Press.

[10] Zhang, G., 2002, Fuzzy Control and Matlab Application, Xi'an Jiaotong University Press.