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Modeling and Simulation of Temperature Control System of Coating Plant Air Conditioner

Published: 01 April 2017 Publication History

Abstract

The air conditioning system is an important external condition for coating production. Effectively controlling the air conditioning system temperature could ensure the external conditions required during the production process of the coating line, thus to ensure product quality. Due to the large temperature difference change rate of outdoor fresh air at some areas, the traditional PID control method cant meet the temperature control requirements of the air conditioning system. In order to solve above problem, an actual plant air conditioning model was built based on the structure features of the truck coating plant air conditioning. An intelligent adaptive control algorithm was designed, then we performed matlab simulation on this model. Through the simulation, the experimental results show that the adaptive algorithm can meet the control requirements.

References

[1]
G.M. Maxwell, H.N. ShaPiro, D.G. Westra. Dynamies and control of a chilled water coil. ASHRAE Trans., 1989; 95(l):1243-1255.
[2]
D.R. Clark, C.W. Hurley, C.R. Hill, Dynamic models for HVAC system components, ASHRAETrans., 91 (1985) 737-751.
[3]
Y.W. Wang, W.J. Cai, Y.C. Soh, A simplified modeling of eooling coils for control and optimization of HVAC systems, Energy conversation and Management, 45 (2004) 2915-2930.
[4]
J.E. Braun. Methodologies for design and control of central cooling plants. DePartment of Mechanical Engineering, University of Wiseonsin, 1988.
[5]
R.J. Rabehl, J.W. Mitehell, W.A. Beekman, Parameter estimation and the use of catalog data in modeling heat exehangers and coil, HVAC&R Researeh, 5 (1999) 3-17.
[6]
ZHANG Hua jun, YUAN Xiu ling, Simulation of cold wind air conditioner, Cryogenics, 1 (1996) 60-64.
[7]
WANG Kang di, WANG Hua xin. Optimizing the refrigerant charge in an air conditioning system by simulation. Journal of Refrigeration, 2001; (4) :35-40.
[8]
Zhang, Qianru. Huang, Chen. The characteristics of the air temperature distributions with different heat source powers in a large space building under the stratified air conditioning system with low-sidewall air inlets and middle-height air outlets. Indoor Air 2014-13th International Conference on Indoor Air Quality and Climate, 2014. p. 868-872.
[9]
Li Gaojian, Fuzzy PID research on the temperature control system of central air conditioning based on genetic algorithms, Information Technology Journal, 12 (2013) 8313-8317.
[10]
Rehrl Jakob, Schwingshackl Daniel, Horn Martin, Model predictive control of temperature and humidity in heating, ventilating and air conditioning systems, IFIP Advances in Information and Communication Technology, 443 (2014) 285-295.

Cited By

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  • (2020)Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature LayoutProceedings of the 21st International Conference on Distributed Computing and Networking10.1145/3369740.3372770(1-6)Online publication date: 4-Jan-2020

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Published In

cover image Procedia Computer Science
Procedia Computer Science  Volume 107, Issue C
April 2017
901 pages
ISSN:1877-0509
EISSN:1877-0509
Issue’s Table of Contents

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 April 2017

Author Tags

  1. Adaptive
  2. Plant air conditioner
  3. Temperature control

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View all
  • (2020)Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature LayoutProceedings of the 21st International Conference on Distributed Computing and Networking10.1145/3369740.3372770(1-6)Online publication date: 4-Jan-2020

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