Investigation on Temperature and Humidity Control Fuzzy Self-Tuning PID Method

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Abstract:

Because the cold storage refrigeration system has a the characteristics of large time delay, inertia and parameter variety , and conventional PID control can not realize the temperature and humidity coupling control, PID-fuzzy algorithms were developed and compared to conventional PID controllers, proving to be more suitable and reliable for a refrigerator used to foster needle mushroom. The thesis introduced the basic principle of the fuzzy control and present in detail the way to design Fuzzy Controller for temperature and humidity coupling control in Cold Storage refrigeration system .According to the simulate testing the cold storage refrigeration system with the SIMULINK of MATLAB, the control quality of the system and the ability of anti – jamming would have a great improvement and enhancement. When the PID-fuzzy algorithms were written in the PLC, the practical results show that this system has better stability, accuracy and quality of control.

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Periodical:

Advanced Materials Research (Volumes 271-273)

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1741-1746

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Online since:

July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Deng Jinjun. Fuzzy comprehensive appraisement of operating condition of ammonia refrigeration system in cold storehouse [J] . Refrigeration. 2008, 27(2): 57-62.

Google Scholar

[2] F.V. Silva, L.C. Neves Filho, V. Silveira Jr. Experimental evaluation of fuzzy controllers for the temperature control of the secondary refrigerant in a liquid chiller[J]. Journal of Food Engineering. 2006, 75(3): 349-354.

DOI: 10.1016/j.jfoodeng.2005.03.061

Google Scholar

[3] Wang Jing. The design and simulation of fuzzy control system for watercraft refrigerator[J]. Refrigeration and Air-Conditioning. 2007, 7(5): 38-41.

Google Scholar

[4] C.B. Chiou, C.H. Chiou, C.M. Chu, S.L. Lin. The application of fuzzy control on energy saving for multi-unit room air-conditioners[J] . Applied Thermal Engineering, 2009, 29(2) : 310-316.

DOI: 10.1016/j.applthermaleng.2008.02.031

Google Scholar

[5] WU Li-qun . the fuzzy control in cold storage control system of application[J]. Mechanical and Electrical Engineering Technology. 2006, 35(5): 74-76.

Google Scholar

[6] T. Morimoto, J. Suzuki, Y. Hashimoto. Optimization of a fuzzy controller for fruit storage using neural networks and genetic algorithms[J]. Engineering Applications of Artificial Intelligence. 1997, 10(5): 453-461.

DOI: 10.1016/s0952-1976(97)00047-x

Google Scholar

[7] Guo-liang Ding. Recent developments in simulation techniques for vapour-compression refrigeration systems[J]. International Journal of Refrigeration, 2007, 30(7): 1119-1133.

DOI: 10.1016/j.ijrefrig.2007.02.001

Google Scholar

[8] Jiang-Jiang Wang, Chun-Fa Zhang, You-Yin Jing, Guo-Zhong Zheng. Using the fuzzy multi-criteria model to select the optimal cool storage system for air conditioning [J]. Energy and Buildings. 2008, 40(11): 2059-(2066).

DOI: 10.1016/j.enbuild.2008.05.011

Google Scholar