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Optimal Advance Angle for Aided Maximum-Speed-Node Design of Switched Reluctance Machines

Rocca, Roberto; Giulii Capponi, Fabio; Papadopoulos, Savvas; De Donato, Giulio; Rashed, Mohamed; Galea, Michael

Authors

Roberto Rocca

Fabio Giulii Capponi

Giulio De Donato

Mohamed Rashed

Michael Galea



Abstract

In the design processes of Switched Reluctance Machines that operate in wide constant power speed ranges, the maximum power available at maximum speed must be evaluated for every machine candidate. This is critical to ensure compliance with the power requirement. Important parameters to include in the design routine include the duration of the energizing period and the advance of the turn-on instant (i.e. advance angle). The latter is highly related to the machine geometry and is usually evaluated through time-consuming finite-element based iterative methods. In this paper, a simple, yet novel analytical model is proposed to cater for the torque-maximising advance angle in a closed-form analytical expression, directly from the machine geometry. The goal is to provide a non-iterative design tool that speeds up the design process. Successful validations against finite element analyses and experimental results on an SR machine prototype are reported. The main outcome of this paper is shown by the improvement in computation time, without any significant loss of accuracy.

Journal Article Type Article
Acceptance Date Nov 20, 2019
Online Publication Date Dec 16, 2019
Publication Date 2020-06
Deposit Date Dec 29, 2019
Publicly Available Date Jan 6, 2020
Journal IEEE Transactions on Energy Conversion
Print ISSN 0885-8969
Electronic ISSN 1558-0059
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 35
Issue 2
Pages 775-785
DOI https://doi.org/10.1109/tec.2019.2959823
Keywords Analytical Model, Advance Angle, Design Optimization, Machine Design, High Speed, Single-Pulse Mode, Switched Reluctance Machine, Torque Maximization
Public URL http://researchrepository.napier.ac.uk/Output/2434355

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