Design of Membership Ranges for Fuzzy Logic Control of Refrigeration Cycle Driven by a Variable Speed Compressor
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Design of Membership Ranges for Fuzzy Logic Control of Refrigeration Cycle Driven by a Variable Speed Compressor

Authors: Changho Han, Jaemin Lee, Li Hua, Seokkwon Jeong

Abstract:

Design of membership function ranges in fuzzy logic control (FLC) is presented for robust control of a variable speed refrigeration system (VSRS). The criterion values of the membership function ranges can be carried out from the static experimental data, and two different values are offered to compare control performance. Some simulations and real experiments for the VSRS were conducted to verify the validity of the designed membership functions. The experimental results showed good agreement with the simulation results, and the error change rate and its sampling time strongly affected the control performance at transient state of the VSRS.

Keywords: Variable speed refrigeration system, Fuzzy logic control, membership function range, control performance.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316594

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 893

References:


[1] Cao, J. P. Jeong, S. K., and Jeong, Y, M., 2014, “Fuzzy Logic Controller Design with Unevenly-distributed Membership Function for High Performance Chamber Cooling System”, Journal of Central South University of Technology, Vol. 21, pp. 2684-2692.
[2] Dhamakale, S. D. and Patil, S. B., 2011, “Fuzzy Logic Approach with Micro Controller for Climate Controlling in Green House”, International Journal on Emerging Technologies, Vol. 2, No. 1, pp. 17-19.
[3] Li, H. and Jeong, S. K., 2007, “Design and Analysis of Fuzzy Control in a Variable Speed Refrigeration System”, International Journal of Air-Conditioning and Refrigeration, Vol. 15, No. 2, pp. 61–69.
[4] Han, D. Y. and Park, K. J., 2006, “Fuzzy Control Algorithm for the Compressor and the Electronic Expansion Valve for a Multi-type Air Conditioning System Using Multiple Input Variables”, Journal of the SAREK, Vol. 18. No.2, pp. 163-171.
[5] Aprea, C., Mastrullob, R. and Rennoa, C., 2004, “Fuzzy Control of the Compressor Speed in a Refrigeration Plant”, International Journal of Refrigeration, Vol. 27, pp. 639-648.
[6] Kim, J. H., Kim, W. Y., Kang, J. K., Jang, I. S. and Kim, J. S., 1997, “Fuzzy Control of Superheat and Evaporating Temperature of Evaporator in Refrigeration and Air Conditioning System”, International Journal of Air-conditioning and Refrigeration, Vol. 5, pp. 185-194.
[7] Lu, J. and Hu, Y., 2006, “A Histogram Modification Approach for Analysis of Membership Function Relocation in Fuzzy Logic Control”, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 10, No. 6, pp. 913-920.
[8] Zhuang, H. and Wu, X., 2001, “Membership Function Modification of Fuzzy Logic Controllers with Histogram Equalization”, IEEE Transactions on Systems. Man. and Cybernetics. Part B, Vol. 31, No. 1, pp. 125–132.
[9] Butkiewicz, B. S. 1998, “Steady State Error of a System with Fuzzy Controller”, IEEE Transactions on Systems. Man. and Cybernetics. Part B, Vol. 28, No. 6, pp. 855-860.