Constanza Ahumada
Evaluation of Posicast Compensator Robustness for the Reduction of Torsional Vibrations
Ahumada, Constanza; Wheeler, Patrick
Authors
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
PROFESSOR OF POWER ELECTRONIC SYSTEMS
Abstract
The drivetrain of most aircraft engines, which links the electrical generators to the engine, is relatively flexible and has vibration modes with values below 100 Hz. Consequently, torsional vibrations can be excited by the sudden connection or disconnection of electrical loads, which is known as electromechanical interaction and can reduce the drivetrain lifespan. Past studies proposed the use of a Posicast compensator for reducing the excitation of torsional vibrations in aircraft drivetrains after electrical loads are connected. However, this method depends on the vibration modes of the mechanical system and hence it can be susceptible to parameter's uncertainty. In this paper, the robustness of the Posicast method is assessed analysing simulation and experimental results. In this paper, the main sources of uncertainty are identified, and a theoretical analysis is carried out to establish safe operation limits. Furthermore, to reduce the uncertainty to the inductances of the system strategies robust to them are introduced and analysed.
Citation
Ahumada, C., & Wheeler, P. (2019, September). Evaluation of Posicast Compensator Robustness for the Reduction of Torsional Vibrations. Presented at 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, MD, USA
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 2019 IEEE Energy Conversion Congress and Exposition (ECCE) |
Start Date | Sep 29, 2019 |
End Date | Oct 3, 2019 |
Acceptance Date | May 1, 2019 |
Online Publication Date | Nov 28, 2019 |
Publication Date | 2019-09 |
Deposit Date | Mar 26, 2020 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 5870-5877 |
Series ISSN | 2329-3748 |
Book Title | 2019 IEEE Energy Conversion Congress and Exposition (ECCE) |
ISBN | 978-1-7281-0396-9 |
DOI | https://doi.org/10.1109/ECCE.2019.8912476 |
Public URL | https://nottingham-repository.worktribe.com/output/4205173 |
Publisher URL | https://ieeexplore.ieee.org/document/8912476 |
Additional Information | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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