Explicit solution of parameter estimate using multiparametric programming for boost converter
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 measurement...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2023
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28036/1/Explicit%20solution%20of%20parameter%20estimate%20using%20multiparametric%20programming%20for%20boost%20converter.pdf http://eprints.utem.edu.my/id/eprint/28036/ https://iopscience.iop.org/article/10.1088/1742-6596/2550/1/012017 |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |
| Summary: | 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. |
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