Autors: Vacheva, G. I., Hinov, N. L., Kanchev, H. C., Gilev, B. N.
Title: Application of Neural Network for Smart Control of a Buck DC/DC Converter
Keywords: Converter model, Function approximation, MATLAB/Simulink env

Abstract: In this paper is presented the modelling of a buck DC/DC converter with neural network controller. The possibilities of this control method for function approximation are demonstrated. The converter model is implemented in the MATLAB/Simulink environment and its operation with neural network and PI controller is studied. Simulation results highlight the advantages of neural network-based control of the DC-DC converter. The presented study of modelling and control of the power electronic converter is intended for educational purposes and student training



    Proceedings of the International Spring Seminar on Electronics Technology.42nd International Spring Seminar on Electronics Technology, ISSE 2019; Wroclaw; Poland; 15 May 2019 through 19 May 2019, vol. 2019-May, issue 42, pp. Article number 8810189, 2019, Poland, IEEE Inc, DOI 10.1109/ISSE.2019.8810189

    Copyright IEEE Inc

    Цитирания (Citation/s):
    1. Lu, Y., Yu, W.X., Wang, J.N., Jiang, D., Li, R.Q., Design of PID Controller Based on ELM and Its Implementation for Buck Converters, International Journal of Control, Automation and Systems 19(7), pp. 2479-2490, 2021 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Yadav, D., Singh, N., Comparative Analysis of Conventional, Artificial Intelligence, and Hybrid-Based MPPT Technique for 852.6-Watt PV System, International Journal of Social Ecology and Sustainable Development 13(2),302463, ISSN 19478402 DOI 10.4018/IJSESD.302463 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus