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University of Arkansas

Fractional Order Identification Method and Control: Development of Control for Non-Minimum Phase Fractional Order System

Abstract

dc:description.abstract

<p>The increasing use of renewable energy has resulted in the need for improved a dc-dc converters. This type of electronic-based equipment is needed to interface the dc voltages normally encountered with solar arrays and battery systems to voltage levels suitable for connecting three phase inverters to distribution level networks. As grid-connected solar power levels continue to increase, there is a corresponding need for improved modeling and control of power electronic converters. In particular, higher levels of boost ratios are needed to connect low voltage circuits (less than 1000 V) to medium voltage levels in the range of 13 kV to 34 kV. With boost ratios now exceeding a factor of 10, the inherent nonlinearities of boost converter circuits become more prominent and thereby lead to stability concerns under variable load conditions. This dissertation presents a new method for analyzing dc-dc converters using fractional order calculus. This provides control systems designers the ability to analyze converter frequency response with Bode plots that have pole-zero contributions other than +/- 20 dB/decade. This dissertation details a systematic method of deriving the optimal frequency-domain fit of nonlinear dc-dc converter operation by use of a modified describing function technique. Results are presented by comparing a conventional linearization technique (i.e., integer-order transfer functions) to the describing-function derived equivalent fractional-order model. The benefits of this approach in achieving improved stability margins with high-ratio dc-dc converters are presented. </p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy in Engineering (PhD)
Level thesis:degree_level
Dissertation
Year dc:date.available
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Alhomim, Majid Abdullah
Advisor dc:contributor.advisor
  • McCann, Roy A.
Contributors dc:contributor
  • Wu, Jingxian
  • Arnold, Mark E.

Subjects

dc:subject × 8

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uark.edu/etd/3861
OAI identifier oai:identifier
oai:scholarworks.uark.edu:etd-5413

Chain of custody

source
Harvested from
University of Arkansas
Base URL
scholarworks.uark.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Alhomim, Majid Abdullah. Fractional Order Identification Method and Control: Development of Control for Non-Minimum Phase Fractional Order System. Dissertation thesis, 2020. https://scholarworks.uark.edu/etd/3861