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


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TEKİN S. A., GANİ A.

Journal of Electrical Engineering, cilt.77, sa.1, ss.89-96, 2026 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 77 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.2478/jee-2026-0009
  • Dergi Adı: Journal of Electrical Engineering
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, INSPEC, zbMATH
  • Sayfa Sayıları: ss.89-96
  • Anahtar Kelimeler: stochastic analysis, ultra-lift Luo converter, Monte Carlo, non-idealities
  • Erciyes Üniversitesi Adresli: Evet

Özet

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 Q G, 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.