On the elimination of nonlinear phenomena in DC/DC converters using type-2 fuzzy logic controller

• Autorzy: Gozim D. , Guesmi K. , Mahi D.

Identyfikatory

DOI

10.29354/diag/93139

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

power converter; type-2 fuzzy logic controller; bifurcation; chaos

PL

urządzenie przekształtnikowe; logika rozmyta; bifurkacje; chaos

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2018
• Tom: Vol. 19, No. 3
• Strony: 73--80
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Gozim D.

• Department of Electrical & Engineering, University of Ziane Achor Djelfa, Algeria

autor

Guesmi K.

• CReSTIC-Reims University, France

autor

Mahi D.

• 3Department of Electrotechnical, University Amar Telidji, Laghouat, Algeria

Bibliografia

• 1. Chen G, Dong X. From chaos to order: Perspectives, Methodologies, and Applications, Series on Nonlinear Science Series, 1998.
• 2. Chen G. Controlling chaos and bifurcation in engineering systems. Boca Raton, FL, USA: CRC Press, 1999.
• 3. Tse CK, Bernardo M. Complex Behavior in Switching Power Converters. IEEE Proceeding, 2002; 5: 768-781.
• 4. Fradkov AL, Evans RJ. Control of chaos: methods and applications in engineering. Annual Review in Control, 2005; 29(1): 33-56.
• 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.
• 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.
• 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.2009.2019389
• 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.
• 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.759
• 10.Guesmi K, Gozim D, Mahi D, Hamzaoui A. Dynamical ramp for nonlinear phenomena control in DC-DC converters. Journal of Electrical Systems, 2010.
• 11. Banerjee S, Verghese GC. Nonlinear phenomena in power electronics. Wiley-IEEE Press, USA, 2001.
• 12. Erickson R, Maksimovic D. Fundamentals of power electronics. Kluwer Academic Publishers, Boston, Dordrecht, London, 1999.
• 13. Hagras H. Type-2 FLCs: A new generation of fuzzy controllers. IEEE Computational Intelligence Magazine. 2007; 2(1): 30-43.
• 14. Mendel JM. Type-2 fuzzy sets and systems. IEEE Computational Intelligence Magazine. 2007; 2(1): 20-29.
• 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/s10845-010-0388-1
• 16. Mendel JM. Type-2 Fuzzy sets: some questions and answers. IEEE Neural Networks Society. 2003;1:10- 13.
• 17. Castillo O, Melin P. Recent advances in interval type- 2 fuzzy systems. Springer in Computational Intelligence. 2012; 1.
• 18. Castillo O. Type-2 fuzzy logic in intelligent control applications. Springer, 2012; 272. https://doi.org/10.1007/978-3-642-24663-0_1
• 19. Greenfield S. Type-2 fuzzy logic: Circumventing the defuzzification bottleneck. Thesis at University of Montfort, 2012.
• 20. John RI, Coupland S. Type-2 Fuzzy logic a historical view. IEEE Computational Intelligence Magazine. 2007; 2(1): 57-62.
• 21. Gozim D, Guesmi K, Mahi D. On the enhancement of DC-DC converters behavior. Przegląd elektrotechniczny. 2013; 89(7): 45-49.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).