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The Design of Thermoelectric Footwear Heating System Via Fuzzy Logic

Journal of Medical Systems volume 31, pages 521–527 (2007)Cite this article

Abstract

In this study, Heat Control of Thermoelectric Footwear System via Fuzzy Logic has been implemented in order to use efficiently in cold weather conditions. Temperature control is very important in domestic as well as in many industrial applications. The final product is seriously affected from the changes in temperature. So it is necessary to reach some desired temperature points quickly and avoid large overshoot. Here, fuzzy logic acts an important role. PIC 16F877 microcontroller has been designed to act as fuzzy logic controller. The designed system provides energy saving and has better performance than proportional control that was implemented in the previous study. The designed system takes into consideration so appropriate parameters that it can also be applied to the people safely who has illnesses like diabetes, etc.

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References

  1. Duncan, H., and Monoghan, P., Blood storage and transport in the field using a portable thermoelectric refrigerator: Assessment of potential use. Mil. Med. 149:184–188, 1984.

    Google Scholar 

  2. Horvath, S. M., and Freedman, A., The influence of cold upon the efficiency of man. J. Aviat. Med. 18:158–164, 1947.

    Google Scholar 

  3. Işık H., Design and construction of thermoelectric footwear heating system for illness feet. J. Med. Syst. 29(6), December 2005 (_C 2005) DOI 10.1007/s10916-005-6131-3

  4. Kapidere, M., Müldür, S., and Güler, İ., Control of dental prosthesis system with microcontroller. J. Med. Syst. 24:119–129, 2000.

    Article  Google Scholar 

  5. Kaur, G., Chauhan A., and Subramanyam P. V., Fuzzy logic based temperature controller. IEEE International Conference on Granular Computing 2:492–495, 2005.

    Article  Google Scholar 

  6. Lin, C., A GA-based neural fuzzy system for temperature control. Fuzzy Sets Syst. 143(2):311–333, 2004.

    MATH  Article  Google Scholar 

  7. Mackworth, N. H., Finger numbness in very cold winds. J. Appl. Physiol. 5:533–543, 1953.

    Google Scholar 

  8. Mills, A. W., Finger numbness and skin temperature. J. Appl. Physiol. 9:447–450, 1956.

    Google Scholar 

  9. Newton, J. M., and Peacock, L. J., The effects of auxiliary topical heat on manual dexterity in the cold. Department of the Army, US Army Medical Research Laboratory, Ft. Knox, KY, USA. MRL Project no. 6-95-20-001, 1957.

  10. Provins, K. A., and Morton, R., Tactile discrimination and skin temperature. J. Appl. Physiol. 15:155–160, 1960.

    Google Scholar 

  11. Riley, M. W., and Cochran, D. J., Dexterity performance and reduced ambient temperature. Hum. Factors 26:207–214, 1984.

    Google Scholar 

  12. Van Someran R. N. M., Coleshaw, S. R. K., Mincer, P. J., and Keatinge, W. R., Restoration of thermoregulatory response to body cooling by cooling hands and foot. J. Appl. Physiol. 53:1228–1233, 1982.

    Google Scholar 

  13. Teichner, W. H., Manual dexterity in the cold. J. Appl. Physiol. 11:333–338, 1957.

    Google Scholar 

  14. Yasin F. M., Tio A., Islam M. S., Reaz M. I., and Suleiman M. S., The Hardware Design of Temperature Controller Based on Fuzzy Logic for Industrial Application Employing FPGA, Microelectronics, 2004. ICM 2004 Proceedings. The 16th International Conference on, IEEE, pp. 157–160, Dec. 2004

  15. Zhiqiang Gao, Trautzsch, T. A., and Dawson, J. G., A stable self-tuning fuzzy logic control system for industrial temperature regulation. IEEE Trans. Ind. Appl. 38(2):1232–1240, 2002.

    Article  Google Scholar 

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Affiliations

  1. Department of Electronic and Computer Education, Technical Education Faculty, Selçuk University, 42005, Konya, Turkey

    Hakan Işik & Esra Saraçoğlu

Authors
  1. Hakan Işik
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  2. Esra Saraçoğlu
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Correspondence to Hakan Işik.

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Işik, H., Saraçoğlu, E. The Design of Thermoelectric Footwear Heating System Via Fuzzy Logic. J Med Syst 31, 521–527 (2007). https://doi.org/10.1007/s10916-007-9093-9

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  • DOI: https://doi.org/10.1007/s10916-007-9093-9

Keywords

  • Thermoelectric footwear
  • Heat control
  • Temperature control
  • Fuzzy logic control