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Lookup NU author(s): Najib Dankadai, Dr Mohammed Elgendy, Dr Stephen McDonald, Dr Georgia Atkinson
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2019.
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Reliability is of great concern in applications like automotive, aerospace and home appliances in which Switched Reluctance Motor (SRM) is getting more popularity. Therefore, the reliability of the motor drive hardware and control algorithm should be ensured. In this study, the reliability and complexity of several widely used control methods for SRM drive are described using theoretical and simulation analysis. The effect of common errors associated with a practical SRM drive on its control systems’ reliability is analyzed. In addition, an investigation on the relationship between system complexity and reliability of SRM control based on information flow complexity within the control technique is also presented. Three methods including Current Chopping Control (CCC), Torque Sharing Function based Direct Instantaneous Torque Control (TSF-DITC) and Direct Torque Control (DTC) are considered and compared. The results obtained showed that the CCC method shows the highest robustness to measurement error followed by the TSF-DITC then the DTC. However, the TSF-DITC method achieved superior torque characteristics while maintaining high robustness and reliabilityComplexity analysis, error analysis, switched reluctance motor drives, torque control
Author(s): Dankadai NK, Elgendy MA, McDonald SP, Atkinson DG, Atkinson G
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: IEEE International Conference on Power Electronics and Renewable Energy (CPERE 2019)
Year of Conference: 2019
Online publication date: 06/02/2020
Acceptance date: 31/07/2019
Date deposited: 26/11/2019
ISSN: 9781728109107
Publisher: IEEE
URL: https://doi.org/10.1109/CPERE45374.2019.8980219
DOI: 10.1109/CPERE45374.2019.8980219
Library holdings: Search Newcastle University Library for this item
ISBN: 9781728109114