Explicit solution of parameter estimate using multiparametric programming for boost converter

Mid, E.C. and Mukhtar, N.M. and Syed Yunus, S.H. and Abdul Hadi, Dayanasari and Ruslan, Eliyana (2023) Explicit solution of parameter estimate using multiparametric programming for boost converter. In: 4th International Conference on Emerging Electrical Energy, Electronics and Computing, ICE4CT 2022, 28 December 2022 through 29 December 2022, Hybrid, Arau.

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Abstract

This work proposes an approach to estimate the parameters of capacitance and inductance in a boost converter using an explicit solution. A multiparametric programming (MPP) algorithm is fundamental to the suggested methodology, which aims to develop parameters as explicit functions of measurements. In this method, the generalised mathematical model of the boost converter is discretised into an algebraic equation. The parameter estimation problem is then formulated and solved using Karush-Kuhn-Tucker. Finally, an explicit solution of estimate parameters such as capacitor and inductor is formulated as an explicit function of the inductor currents and capacitor voltage. Finally, the state variables of the boost converter are numerically obtained and used to test the capability of the proposed work. The results presented in this work prove the MPP algorithm can estimate the boost converter's parameters, which can be extended to other power converters and filters.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Boost converter, Dc-dc converter, Multiparametric programming, Parameter estimate
Divisions: Faculty Of Electronics And Computer Technology And Engineering
Depositing User: Anis Suraya Nordin
Date Deposited: 17 Oct 2024 12:20
Last Modified: 17 Oct 2024 12:20
URI: http://eprints.utem.edu.my/id/eprint/28036
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