Mathematical Comparison of Defuzzification of Fuzzy Logic Controller for Intelligence Air Conditioning System

M.A. Islam¹ , M.S. Hossain² , I.S.M. Haque³

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.2 , pp.29-37, Apr-2021

Online published on Apr 30, 2021

Copyright © M.A. Islam, M.S. Hossain, I.S.M. Haque . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The objective of this paper is to compare several defuzzification techniques for the application of an air cooler control design in order to predict the error difference between different methods. The four input parameters are considered to be user temperature (UT), temperature difference (Tdf), dew point (Td), and number of peoples (NP). However, Compressor Speed (CS), Fan Speed (FS) and Fin Direction (FD) are used as outputs. The simulation of this paper is carried out by using MATLAB.

Key-Words / Index Term :
Fuzzy logic controller, defuzzification techniques, fuzzy rule base, MATLAB simulation

References :
[1] C. Elmas, Bulanik Mantik Denetleyicleri, ISBN 975-347-613, 2003.
[2] L. A. Zadeh, “Fuzzy Sets”, Information and Control, Vol.8, pp.338-353, 1965.
[3] E. H. Mamdani, “Application of Fuzzy Algorithm for Control of Simple Dynamic Plant”, Proc. IEEE, Vol.121, Issue.12, pp.1585-1588, 1974.
[4] J. Jantzen, “Tutorial on fuzzy logic”, Technical University of Denmark, Dept. of Automation, Technical Report, 1998.
[5] N. Wakami, S. Araki, H. Nomura, “Recent applications of fuzzy logic to home appliances”, in Proceedings of IECON’93-19th Annual Conference of IEEE Industrial Electronics. IEEE pp.155–160, 1993.
[6] S. K. Dash, G. Mohanty, A. Mohanty, “Intelligent air conditioning system using fuzzy logic”, International Journal of Scientific & Engineering Research, Vol.3, Issue.12, pp.1-6, 2012
[7] S. M. Sobhy, W. M. Khedr, “Developing of fuzzy logic controller for air condition system”, International Journal of Computer Applications, Vol.126, Issue.15, pp.1-8, 2015.
[8] R. Roshmi, M.S. Hossain, “Regularity and Normality in Bitopological Spaces”, Int. J. Sci. Res. In Mathematical and Statistical Sciences, Vol.7, Issue.1, pp.21-25, 2020.
[9] S. M. Sofi, S. Peerzada, M. A. K. Baig, “Parametric Generalizations of ‘Useful’R-Norm Fuzzy Information Measures”, Int. J. Sci. Res. In Mathematical and Statistical Sciences, Vol.5, Issue.6, pp.164-169, 2018.
[10] Rajkumar , S. Udayakumar, “Multicriterion Fuzzy Decision Making in Irrigation Planning”, Int. J. Sci. Res. In Mathematical and Statistical Sciences, Vol.6, Issue.2, pp.325-333, 2019.
[11] R. Kiruthika, V. Vijaykumar, “An Enhanced Fuzzy Based Linkage Clustering Algorithm (EFCA) in High Dimensional Data”, International Journal of Computer Sciences and Engineering, Vol.8, Issue.2, pp.12-17, 2020.
[12] A. Sandanasamy, R. Thamarai Selvi, “An Quality Based Software Requirement Prioritization Using Takagi-Sugeno Fuzzy Inference”, International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.642-647, 2019.
[13] Mohammad Sammany, Ahmad Steef, Nedaa Agami, T. Medhat, “Fuzzy Mathematical Model For Optimizing Success Criteria Of Projects: A Project Management Application,” International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.5, pp.77-83, 2020.
[14] H. Han, Chun-Yi, Yury. S, “Adaptive Control of a Class of Non-linear Systems with Non-Linearly Parameterized Fuzzy Approximation”, IEEE Transaction on Fuzzy Systems, Vol.9, Issue.2, pp.315-323, 2001.
[15] E. H. Mamdani, S. Assilian, “An experiment in linguistic synthesis with a fuzzy logic controller”, International journal of man-machine studies, Vol.7, Issue.1, pp.1-13, 1975.
[16] L. A. Zadeh , C. Berkeley, “Fuzzy logic toolbox”, Math Works, 2001.
[17] S. Naaz, A. Alam, R. Biswas, “Effect of different defuzzification methods in a fuzzy based load balancing application”, IJCSI International Journal of Computer Science, Vol.8, Issue.5, pp.261, 2011.