Bouheraoua, M., Wang, J. orcid.org/0000-0003-4870-3744 and Atallah, K. (2014) Influence of control structures and load parameters on performance of a pseudo direct drive. Machines, 2 (3). pp. 158-175. ISSN 2075-1702
Abstract
The paper describes an in-depth and systematic analysis of a pseudo direct drive permanent magnet machine in closed loop control. Due to the torque being transmitted from the high-speed rotor (HSR) to the low-speed rotor (LSR), through a relatively low stiffness magnetic gear with non-linear characteristics, speed oscillations appear in the drive output with a conventional proportional integral (PI) controller. Therefore two candidate controllers have been proposed as an alternative to the PI control and all controllers have been optimally tuned with a genetic algorithm against a defined criterion. Furthermore, closed loop models are established in the complex frequency domain to determine the system damping and the cause of the oscillations. Consequently, the best controller structure that improves the dynamic behaviour of the system in terms of speed tracking and disturbance rejection could be identified, based on the frequency domain analysis. Experimental results are presented to validate the analysis and the proposed control technique.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
Keywords: | permanent magnet machines; electric drives; genetic algorithm; stability; state feedback controller; pseudo direct drive; PDD |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 May 2018 11:42 |
Last Modified: | 31 May 2018 17:24 |
Published Version: | https://doi.org/10.3390/machines2030158 |
Status: | Published |
Publisher: | MDPI |
Refereed: | Yes |
Identification Number: | 10.3390/machines2030158 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:131400 |