Abstract
This paper is concerned with design and implementation of a direct adaptive fuzzy logic controller (DAFLC) to stabilize the output voltage of the DC-DC buck converter under the conditions of input voltage variation, changing of load and uncertainty of system model. The DAFLC is designed with the Takagi and Sugeno’s fuzzy logic system and Lyapunov stability theory to bring out remarkable stability and outstanding transient quality to the DC-DC buck converter. Experimental results shown that the DC-DC buck converter with the proposed DAFLC has effective performance in term of stability and transient quality. Morever, the proposed system does not require any requirement of mathematical model.
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References
Dehri, K., Bouchama, Z., Nouri, A.S., Essounbouli, N.: Input-output discrete integral sliding mode controller for DC-DC buck converter. In: Proceedings of the 15th International Multi-Conference on Systems Signals and Devices, Yasmine Hammamet, Tunisia, 19-22 March 2018, pp. 100–123 (2018)
Ilka, R., Gholamian, S.A., Rezaie, B., Rezaie, A.: Fuzzy control design for a DC-DC buck converter based on recursive least square algorithm. Int. J. Comput. Sci. Appl. (IJCSA) 2(6) (2012)
Elmas, C., Deperlioglu, O., Sayan, H.H.: Adaptive fuzzy logic controller for DC-DC converters. Expert Syst. Appl. 36(2P1), 1540–1548 (2009)
Emami, S.A., Poudeh, M. B., Eshtehardiha, S., Moradiyan, M.: An adaptive neuro-fuzzy controller for DC-DC converter. In Proceedings of the International Conference on Control, Automation and Systems, Seoul, Korea (2008)
Wang, L.X: A Course in Fuzzy Systems and Control. Prentice-Hall International Inc. (1996)
Wang, L.X.: Stable adaptive fuzzy control of nonlinear systems. IEEE Trans. Fuzzy Syst. 1(2), 146–155 (1993)
Bellomo, D., Naso, D., Babuska, R.: Adaptive fuzzy control of a non-linear servo-drive Theory and experimental results. Eng. Appl. Artif. Intell. 21, 846–857 (2008)
Labiod, S., Guerra, T.M.: Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems. Fuzzy Sets Syst. 158, 1126–1137 (2007)
Ougli, A.E., Lagrat, I., Boumhidi I.: Direct adaptive fuzzy control of nonlinear systems. ICGST-ACSE J. 8(II) (2008). ISSN 1687-4811
Quach, D.-C., Huang, S., Yin, Q., Zhou, C.: An improved direct adaptive fuzzy controller for an uncertain DC motor speed control system. TELKOMNIKA Indon. J. Electr. Eng. 11(2), 1083–1092 (2013)
Zhang, N., Li, D.: Loop response considerations in peak current mode buck converter design. TI technical report, SLVAE09A, Revised 2021 (2018)
Vishnu, D.: Modelling an adaptive control of a DC-DC Buck converter. Master thesis, Department of Electrical Engineering, National Institute of Technology, Rourkela (2015)
Yang, R.: Modeling and control for a current-mode buck converter with a secondary LC filter. Analog Dialogue 52(10) (2018)
The datasheet of STM32F4xx Microcontroller. https://www.st.com/resource/en/datasheet/dm00037051.pdf
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Kieu-Xuan, T., Quach, DC. (2023). A Novel Adaptive Fuzzy Logic Controller for DC-DC Buck Converters. In: Arai, K. (eds) Advances in Information and Communication. FICC 2023. Lecture Notes in Networks and Systems, vol 652. Springer, Cham. https://doi.org/10.1007/978-3-031-28073-3_32
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DOI: https://doi.org/10.1007/978-3-031-28073-3_32
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