Research Information System
Journal of Electrical Engineering, vol.77, no.1, pp.89-96, 2026 (SCI-Expanded, Scopus)
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.