Zeta converter: Kharitonov polynomials based interval reduced order modeling

This research proposes a continuous interval reduced-order model (ROM) for a fourth-order constant interval Zeta converter using Kharitonov polynomials. First, the fourth-order continuous interval transfer function is obtained using interval arithmetic for the Zeta converter. Then, this model is reduced to first, second, and third orders using Kharitonov polynomials. For this reduction, Kharitonov polynomials are derived for the denominator, and a Routh table is constructed for these polynomials. The ROM denominator is then obtained from the Routh table. The numerator is determined using time-moments (TiMo) and Markov parameters (MaPa) matching. Comparisons with other models demonstrate the efficacy of our method. Step and impulse responses, as well as the Bode and Nichols plots for the lower and upper bounds, are provided to illustrate the method's effectiveness. Time-domain specifications (TDS) and performance error criterion (PEC) are tabulated to support a comparative study. These results show that our method effectively reduces the order of the Zeta converter while maintaining accuracy and performance.

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Publication Details

Journal
ISA Transactions
Published
2025-04-26
DOI
https://doi.org/10.1016/j.isatra.2025.04.014
Primary Topic
Model Reduction and Neural Networks
Type
article
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article

Zeta converter: Kharitonov polynomials based interval reduced order modeling

Veerpratap Meena, V.P. Singh
ISA Transactions
Model Reduction and Neural Networks
article

Zeta converter: Kharitonov polynomials based interval reduced order modeling

Veerpratap Meena, V.P. Singh
article en

Abstract

This research proposes a continuous interval reduced-order model (ROM) for a fourth-order constant interval Zeta converter using Kharitonov polynomials. First, the fourth-order continuous interval transfer function is obtained using interval arithmetic for the Zeta converter. Then, this model is reduced to first, second, and third orders using Kharitonov polynomials. For this reduction, Kharitonov polynomials are derived for the denominator, and a Routh table is constructed for these polynomials. The ROM denominator is then obtained from the Routh table. The numerator is determined using time-moments (TiMo) and Markov parameters (MaPa) matching. Comparisons with other models demonstrate the efficacy of our method. Step and impulse responses, as well as the Bode and Nichols plots for the lower and upper bounds, are provided to illustrate the method's effectiveness. Time-domain specifications (TDS) and performance error criterion (PEC) are tabulated to support a comparative study. These results show that our method effectively reduces the order of the Zeta converter while maintaining accuracy and performance.

ISA TransactionsVol. 162
National Institute of Technology Jamshedpur (IN), Malaviya National Institute of Technology Jaipur (IN)
Openalex Percentile: Top 93%
Model Reduction and Neural Networks
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Zeta converter: Kharitonov polynomials based interval reduced order modeling — Veerpratap Meena, V.P. Singh · ISA Transactions (2025) | TGRS Research Map | TGRS