Dynamic Model of Thermoelectric Cooler and Temperature Control Based on Adaptive Fuzzy-PID

Shao Jing Song; Jian Jun Wang

doi:10.4028/www.scientific.net/AMM.130-134.1919

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134Dynamic Model of Thermoelectric Cooler and...

Dynamic Model of Thermoelectric Cooler and Temperature Control Based on Adaptive Fuzzy-PID

Abstract:

Thermoelectric cooler has dynamic thermoelectric performance under complex environment. A linear dynamic model of the thermoelectric cooler is derived using small-signal linearization method. It shows that the dynamic model of the thermoelectric cooler has one zero and two poles. The dynamic model of the thermoelectric cooler is showed to vary with operating conditions. Based of average linear dynamic model of a thermoelectric cooler, a temperature control system is designed for the cold end temperature of the thermoelectric cooler using fuzzy-PID algorithm. The step response tests show that the controller has satisfying dynamic and static performance. In room temperature environment, the response time for cooling down 18°C is around 340s and the steady error is very small. The cold-end temperature can be maintained at the setting value within 0.1°C. Experiment results also show that the setting temperature can reach to 23°C below the environment temperature, and the setting value is smaller and the step response time is longer.

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

1919-1924

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.1919

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Online since:

October 2011

Authors:

Shao Jing Song, Jian Jun Wang

Keywords:

Adaptive Fuzzy-PID Control, Small-Signal Linearization Method, Thermoelectric Cooler

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References

[1] Gray PE, The dynamic behavior of thermoelectric devices, [M]. New York and London： John Wiley and Sons, Inc., (1960).

Google Scholar

[2] Richard P. Bywattes and Harold A. Blum, The transient behavior of cascade thermoelectric heat pumps, [J]. Energy Conversion, vol. 10, pp.193-200, (1970).

DOI: 10.1016/0013-7480(70)90033-1

Google Scholar

[3] B. J. Huang, C.L. Duang, System dynamic model and temperature control of a thermoelectric cooler, [J]. International Journal of Refrigeration, vol. 23, pp.197-207, (2000).

DOI: 10.1016/s0140-7007(99)00045-6

Google Scholar

[4] TAO Yong-Hua, New type PID control and applications, [M]. Beijing: China Machine Press, (2002).

Google Scholar

[5] LIU Jin-Kun, Advanced PID control and MATLAB simulations, [M]. Beijing: Publishing House of Electronics Industry, (2003).

Google Scholar