Current issue
Online first
Archive
About the Journal
Guide for Authors
3/2018 vol. 19
Stats
CC BY 2.0
Get citation
On the elimination of nonlinear phenomena in DC/DC converters using type-2 fuzzy logic controller
,
 
,
 
 
 
 
More details
Hide details
1
Universiy Ziae Achor of Djelfa
2
University Amar Telidji, Laghouat, Algeria
CORRESPONDING AUTHOR
Gozim Djamal   

UNIVERSIY ZIAE ACHOR OF DJELFA, CITY 5 JUILET P.B. 965, 17000 DJELFA, Algeria
Submission date: 2018-04-19
Final revision date: 2018-05-19
Acceptance date: 2018-07-11
Online publication date: 2018-07-19
Publication date: 2018-09-10
 
Diagnostyka 2018;19(3):73–80
DOI: https://doi.org/10.29354/diag/93139
 
 
Article (PDF)
References (21)
 
KEYWORDS
bifurcation
chaos
power converter
Type-2 Fuzzy Logic Controller
 
TOPICS
Diagnostic systems
Technical diagnostics
Diagnostics of electronic systems
 
ABSTRACT
DC/DC converters are wealthy of nonlinear phenomena that appear when the converter parameters are subject to perturbation or variation. The converter may exhibit bifurcation from behavior to another, quasi periodic and chaotic responses. In such cases, it is difficult and even impossible to analyze, to predict and to control the converter behavior. This paper gives a description of a DC/DC converter and shows their desirable and undesirable behaviors; then a solution, based on type-2 fuzzy logic controller, is proposed to eliminate the undesirable behaviors and to enhance the converter dynamics.
 
REFERENCES (21)
1.
Chen G, Dong X. From chaos to order: Perspectives, Methodologies, and Applications, Series on Nonlinear Science Series, 1998.
Google Scholar
 
 
2.
Chen G. Controlling chaos and bifurcation in engineering systems. Boca Raton, FL, USA: CRC Press, 1999.
Google Scholar
 
 
3.
Tse CK, Bernardo M. Complex Behavior in Switching Power Converters. IEEE Proceeding, 2002; 5: 768-781.
Google Scholar
 
 
4.
Fradkov AL, Evans RJ. Control of chaos: methods and applications in engineering. Annual Review in Control, 2005; 29(1): 33-56.
Google Scholar
 
 
5.
Guesmi K, Essounbouli N, Hamzaoui A, Zaytoon J, Manamanni N.S hifting nonlinear phenomena in a DC- DC converter using a fuzzy logic controller. Journal of mathematics and computers in simulation, 2008; 76(5): 398-409.
Google Scholar
 
 
6.
Guesmi K, Essounbouli N, Hamzaoui A. Systematic design approach of fuzzy PID stabilizer for DC-DC converters. Energy Conversion and Management, 2008; 49(10): 2880-2889.
Google Scholar
 
 
7.
Kamyar M, Damian G, Bashar Z. Stability analysis and control of nonlinear phenomena in boost converters using model-based Takagi-Sugeno fuzzy approach. IEEE Transactions on Circuits and Systems-I: Regular Papers. 2010;57(1): 200-212. https://doi.org/10.1109/TCSI.2....
CrossRef
 
Google Scholar
 
 
8.
Khoudiri A, Guesmi K, Hamzaoui A, Essounbouli N, Mahi D. Optimized sliding mode control for DC-DC converters using simplex-PSO techniques. 3rd International Conference on Systems and Control. 2013; 502-507.
Google Scholar
 
 
9.
Guesmi K, HamzaouiA. On the modeling of DC/DC converters: An enhanced approach. International Journal of Numerical Modelling. 2010; 24(1): 36-57. https://doi.org/10.1002/jnm.75....
CrossRef
 
Google Scholar
 
 
10.
Guesmi K, Gozim D, Mahi D, Hamzaoui A. Dynamical ramp for nonlinear phenomena control in DC-DC converters. Journal of Electrical Systems, 2010.
Google Scholar
 
 
11.
Banerjee S, Verghese GC. Nonlinear phenomena in power electronics. Wiley-IEEE Press, USA, 2001.
Google Scholar
 
 
12.
Erickson R, Maksimovic D. Fundamentals of power electronics. Kluwer Academic Publishers, Boston, Dordrecht, London, 1999.
Google Scholar
 
 
13.
Hagras H. Type-2 FLCs: A new generation of fuzzy controllers. IEEE Computational Intelligence Magazine. 2007; 2(1): 30-43.
Google Scholar
 
 
14.
Mendel JM. Type-2 fuzzy sets and systems. IEEE Computational Intelligence Magazine. 2007; 2(1): 20-29.
Google Scholar
 
 
15.
Atacak I, Bay O. A type-2 fuzzy logic controller design for buck and boost DC-DC converters. Journal of intelligent manufacturing, 2012: 1023- 1034. https://doi.org/10.1007/s10845....
CrossRef
 
Google Scholar
 
 
16.
Mendel JM. Type-2 Fuzzy sets: some questions and answers. IEEE Neural Networks Society. 2003;1:10-13.
Google Scholar
 
 
17.
Castillo O, Melin P. Recent advances in interval type-2 fuzzy systems. Springer in Computational Intelligence. 2012; 1.
Google Scholar
 
 
18.
Castillo O. Type-2 fuzzy logic in intelligent control applications. Springer, 2012; 272. https://doi.org/10.1007/978-3-....
CrossRef
 
Google Scholar
 
 
19.
Greenfield S. Type-2 fuzzy logic: Circumventing the defuzzification bottleneck. Thesis at University of Montfort, 2012.
Google Scholar
 
 
20.
John RI, Coupland S. Type-2 Fuzzy logic a historical view. IEEE Computational Intelligence Magazine. 2007; 2(1): 57-62.
Google Scholar
 
 
21.
Gozim D, Guesmi K, Mahi D. On the enhancement of DC-DC converters behavior. Przegląd elektrotechniczny. 2013; 89(7): 45-49.
Google Scholar
 
 
Share
Send by email
Indexes
 
Keywords index
Topics index
Authors index
eISSN:2449-5220
System opracowano w ramach zadania:
„Podniesienie poziomu naukowego i poziomu umiędzynarodowienia czasopisma Diagnostyka oraz upowszechniania informacji o wynikach badań lub prac rozwojowych poprzez udział uznanych zagranicznych recenzentów w ocenie publikacji - zadanie finansowane w ramach umowy 745/P-DUN/2017. ze środków Ministra Nauki i Szkolnictwa Wyższego przeznaczonych na działalność upowszechniającą naukę”

© 2006-2023 Journal hosting platform by Bentus