Browse > Article
http://dx.doi.org/10.9726/kspse.2018.22.1.018

Design of Membership Ranges for Robust Control of Variable Speed Drive Refrigeration Cycle Based on Fuzzy Logic  

Jeong, Seok-Kwon (Department of Refrigeration and Air Conditioning Engineering, PKNU.)
Publication Information
Journal of Power System Engineering / v.22, no.1, 2018 , pp. 18-24 More about this Journal
Abstract
This paper focuses on systematic design about the membership ranges of the main design factors such as control error, control error rate, and sampling time for the fuzzy logic control of the variable speed drive refrigeration cycle. The upper and the lowest limit of the membership ranges are set up from the data of static characteristics obtained by experiments. Three kinds of membership ranges on the control error and the control error rate are tested by experiments. Especially, an effect of sampling time on control performance is also investigated in the same way. Experimental data showed the control error rate and the sampling time strongly effected on the control performance of the refrigeration cycle with a variable speed drive.
Keywords
Variable speed drive (VSD) refrigeration cycle; Fuzzy logic control (FLC); Systematic design;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. W. Choi, S. K. Jeong and J. H. Yang, 2016, Analysis of Design Factors for High Performance Fuzzy Logic Control of Refrigeration Cycle, Journal of the Korean Society for Power System Engineering, Vol. 20, No. 6, pp. 11-19.
2 S. W. Choi, 2017, "Design of Rule Base and Analysis on Effect of Membership Function Range for High Performance Fuzzy Logic Control of Refrigeration Cycle", MS thesis, Pukyong National University, Busan Korea.
3 J. P. Cao, S. K. Jeong and Y. M. Jeong, 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.   DOI
4 J. H. Kim, W. Y. Kim, J. K. Kang, I. S. Jang and J. S. Kim, 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.
5 S. D. Dhamakale and S. B. Patil, 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.
6 J. Lu and Y. Hu, 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.   DOI
7 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.
8 D. Y. Han and K. J. Park, 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.
9 C. Apreaa, R. Mastrullob and C. Rennoa, 2004, "Fuzzy Control of the Compressor Speed in a Refrigeration Plant", International Journal of Refrigeration, Vol. 27, pp. 639-648.   DOI
10 H. Zhuang and X. Wu, 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.   DOI
11 B. S. Butkiewicz, 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.   DOI