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Design and stochastic performance analysis of non-ideal ultra-lift Luo converter: A Monte Carlo approach Cover

Design and stochastic performance analysis of non-ideal ultra-lift Luo converter: A Monte Carlo approach

By: Sezai Alper Tekin and  Ahmet Gani  
Open Access
|Feb 2026

Abstract

This paper presents the design and a comprehensive stochastic performance assessment of the non-ideal Ultra-Lift Luo (ULL) converter. The study emphasizes the impact of component tolerances and non-idealities on the uncertainties induced in the overall performance of the ULL converter, which is systematically evaluated using a Monte Carlo-based simulation framework. Unlike conventional deterministic analyses based on nominal component values, the proposed methodology develops a non-ideal model of the ULL converter by accounting for inductor winding resistance RL, capacitor equivalent series resistance rc, and MOSFET non-idealities, such as ON-state resistance RDSON, gate charge QG, drain-source voltage VDS, drain-source current IDS and load resistance R0. Monte Carlo analysis is employed to evaluate the effects of component tolerances and non-idealities on the output voltage ripple, output-voltage stress and efficiency of the non-ideal ULL converter, demonstrating the sensitivity and robustness of the non-ideal ultra-lift topology under practical manufacturing variations.

DOI: https://doi.org/10.2478/jee-2026-0009 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 89 - 96
Submitted on: Jan 5, 2026
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Published on: Feb 18, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2026 Sezai Alper Tekin, Ahmet Gani, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.