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Reseach Article

VHDL Implementaion for Fuzzy Logic Temperature Controller

by Neha Bahal, Shamim Akhter
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 22
Year of Publication: 2014
Authors: Neha Bahal, Shamim Akhter
10.5120/17317-7730

Neha Bahal, Shamim Akhter . VHDL Implementaion for Fuzzy Logic Temperature Controller. International Journal of Computer Applications. 98, 22 ( July 2014), 31-34. DOI=10.5120/17317-7730

@article{ 10.5120/17317-7730,
author = { Neha Bahal, Shamim Akhter },
title = { VHDL Implementaion for Fuzzy Logic Temperature Controller },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 22 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number22/17317-7730/ },
doi = { 10.5120/17317-7730 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:54.346523+05:30
%A Neha Bahal
%A Shamim Akhter
%T VHDL Implementaion for Fuzzy Logic Temperature Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 22
%P 31-34
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper, illustrates an implementation of fuzzy logic based temperature controller using VHDL in Modelsim 6. 4. . Nowadays fuzzy controller designs have become valuable in large number of applications. There are three basic steps for fuzzy logic controller i. e fuzzification of inputs, defuzzification of outputs, and rule base. In this designed temperature controller there are 2-inputs, 1-output and 5-membership functions. According to the 2 inputs( temperature and humidity), the output (speed of air conditioner) is controlled based on relation between the fuzzy set (low, med, high, dry, moist, wet) of the 2 input variables.

References
  1. Ayala, I. L. , and Solis, I. J. 1991. IEEE Transactions on Industry Applications. Volume: 27 , Issue: 1, pp:108 –111
  2. H. J. Zimmermann, "Fuzzy Set and Its Applications, 3rd ed. " Kluwer Academic Publishers, Norwell, MA. (1996).
  3. MS Anand, "Design and Implementation of Fuzzy Controller on FPGA", http://www. mecs-press. org/ijisa/ijisa-v4-n10/v4n10-4. html.
  4. A. Barriga, S. Sanchez-Solano, P. Broxl, A. Cabrera, and I. Baturone1, "VHDL High Level Modeling and Implementation of Fuzzy Systems", International workshop on fuzzy logic and applications, vol. 2955, pp. 11-18, 2003.
  5. Thomas Hollstein, Saman K. Halgamuge and Manfred Glesner, "Computer Aided Design of Fuzzy Systems based on generic VHDL Specications", IEEE Transactions on Fuzzy Systems, vol. 4, no. 4, pp. 403-417, 1996.
  6. A course in fuzzy system and control; Book by Li-Xin Wang.
  7. Antonio Di Stefano and Costantino Giaconia "An FPGA-Based Adaptive Fuzzy Coprocessor", Computational intelligence and bioinspired systems, vol. 3512, pp. 590-597, 2005.
  8. S. Gottwald, "Mathematical fuzzy logic as a tool for the treatment of vague information" Inf. Sci. 172:1-2 (2005) 41-71
  9. Brown S. & Vranesic Z. ; Fundamentals of Digital Logic with VHDL Design; MCGrow-Hill Company, 2002.
  10. Thararam S. Muk; Design and FPGA Implementation of an Adaptive Demodulator; M. SC. Thesis, University of Kansas; 2000.
Index Terms

Computer Science
Information Sciences

Keywords

VHDL temperature fuzzifier humidity fuzzifier fuzzy logic temperature controller.