LAPSE:2023.28855
Published Article
LAPSE:2023.28855
Hybrid Tuning of a Boost Converter PI Voltage Compensator by Means of the Genetic Algorithm and the D-Decomposition
Radosław Nalepa, Karol Najdek, Błażej Strong
April 12, 2023
In this paper the D-decomposition technique is investigated as a source of non-linear boundaries used with the Genetic Algorithm (GA) search of a PI voltage compensator gains of the boost converter operating in Continuous Conduction Mode (CCM). The well known and appreciated boost converter has been chosen as a test object due to its right-half plane zero in the control-to-output (c2o) voltage transfer function. The D-decomposition, as a technique relying on the frequency sweeping, clearly indicates not only the global stability but, in its extended version, regions satisfying the required gain (GM) and phase (PM) margins. Such results are in form of easy to interpret functions KI=f(KP). The functions are easy to convert to the GA constraints. The GA search, with three different performance indexes as the fitness functions, is applied to a control structure with time delays basing on identified c2o voltage transfer functions. The identification took place in an experiment and in simulation. Outcomes of the identification are compared to mathematically derived formula taking into account certain parasitics. A complete set of practically useful mathematical formulas together with their validation in simulation and experiment is included.
Keywords
boost converter, D-decomposition technique, Genetic Algorithm, PI voltage compensator
Suggested Citation
Nalepa R, Najdek K, Strong B. Hybrid Tuning of a Boost Converter PI Voltage Compensator by Means of the Genetic Algorithm and the D-Decomposition. (2023). LAPSE:2023.28855
Author Affiliations
Nalepa R: Department of Electrical Power Engineering, Faculty of Electrical Engineering, Wrocław University of Science and Technology, PL50370 Wrocław, Poland [ORCID]
Najdek K: Department of Electrical Power Engineering, Faculty of Electrical Engineering, Wrocław University of Science and Technology, PL50370 Wrocław, Poland [ORCID]
Strong B: Department of Electrical Power Engineering, Faculty of Electrical Engineering, Wrocław University of Science and Technology, PL50370 Wrocław, Poland
Journal Name
Energies
Volume
14
Issue
1
Article Number
E173
Year
2020
Publication Date
2020-12-31
Published Version
ISSN
1996-1073
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PII: en14010173, Publication Type: Journal Article
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doi:10.3390/en14010173
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Apr 12, 2023
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