Keywords
Luo converter
averaging method in state space
Lagrange theorems
How to Cite
Abstract
The electromagnetic processes in elementary dc converter according to the Luo topology with inverting output in modes of continuous and discontinuous conduction were studied. Using the method of averaging in the state space based on Lagrange theorems, mathematical models of converter for mentioned modes of operation have been developed. The use of developed models made it possible to obtain analytical expressions for calculating the average and pulsation values of currents and voltages in the reactive elements of the converter, as well as their ripple coefficients. Graphical dependences of the mentioned parameters were calculated in the entire commutation range of converter, taking into account the conduction modes. It is shown that, in comparison with traditional topology of buck-boost converter, the output filter in elementary Luo converter with inverting output significantly reduces the ripple coefficient of output voltage. It was determined that the amount of voltage ripple reduction is proportional to the product of the inductance and filter capacity values, as well as the square of the switching frequency and does not depend on the conductivity mode of the converter.
References
A. Cocor, A. Baescu, and A. Florescu. Elementary and self-lift negative output Luo dc-dc converters used in hybrid cars. U.P.B. Sci. Bull., Series C, 2015, vol. 77, No 4, Pp. 179–190.
J. M. Alonso, A. J. Calleja, D. Gacio, J. Cardesin, E. Lopez. A long-life high-power-factor HPS-lamp LED ret-rofit converter based on the integrated buck-boost buck topology. IEEE Proc., IECON 11, Melbourne, VIC, Austria, Jan. 2012, Pp. 2860–2865. DOI: https://doi.org/10.1109/IECON.2011.6119766
J. Fu, B. Zhang, D. Y. Qiu and W. X. Xiao. A novel single-switch cascaded DC-DC converter of boost and buck-boost converters. 16th European Conference on Power Electronics and Applications, 2014. Pp. 1–9.
Marian K. Kazimierczuk. Pulse-Width Modulated DC-DC Power Converters. UK: John Wiley&Sons, 2016. 960 p.
M.Chilambarasan, M.Ramesh Babu and R.Sujatha. Design and simulation of LUO converter topologies for photovoltaic applications. International Journal of Applied Engineering Research. 2014, vol. 9, No 23. Pp. 21553–21560.
Behdad Faridpak, Meisam Farrokhifar, Mojtaba Nasiri, Arman Alahyari, and Nasser Sadoogi. Developing a super-lift Luo-converter with integration of buck converters for electric vehicle applications. CSEE Journal of Power and Energy Systems. 2021. vol. 7, No. 4, Pp. 811–820.
Niranjana Siddharthan, Baskaran Balasubramanian. Performance evaluation of SEPIC, Luo and ZETA converter. International Journal of Power Electronics and Drive System (IJPEDS). 2019, vol. 10, No 1, Pp. 374–380. DOI: https://doi.org/10.11591/ijpeds.v10.i1.pp374-380
J. Gnanavadivel, N. Senthil Kumar, C.N. Naga Priya and K.S. Krishna Veni. Investigation of power quality improvement in super lift Luo converter. International Journal of Power Electronics and Drive System (IJPEDS). 2017, vol. 8, No. 3, Pp. 1240–1250. DOI: https://doi.org/10.11591/impedes.v8.i3.pp1240-1250
M. Bodetto. Design of AC–DC PFC high-order converters with regulated output current for low-power applications. IEEE Trans.Power Electron., Mar. 2016, vol. 31, No. 3, Pp. 2012–2025. DOI: https://doi.org/10.1109/TPEL.2015.2434937
Rudenko Yu. Mode of averaging of pulse DC converter model. Tekhnichna Elektrodynamika. 2017, No. 3, Pp. 42-48. DOI: https://doi.org/10.15407/techned2017.03.042
Rudenko Yu. Averaging of push-pull DC converter model. Tekhnichna Elektrodynamika. 2018, No. 1, Pp. 37-46. DOI: https://doi.org/10.15407/techned2018.01.037
Rudenko Yu. Features of calculation of DC semiconductor converters based on state space averaging. Pratsi Instytutu elektrodynamiky Natsionalnoi Akademii Nauk Ukrainy. 2020. No 56. Pp. 64–71. DOI: https://doi.org/10.15407/publishing2020.56.064
Zhuikov V.Ya., Denisyuk S.P., Melnichuk G.V. Modeling of systems with power converters with cyclically changing parameters. Kyiv: Nash Format, 2018. 165 p.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2023 Yu.V. Rudenko