Average rated torque calculations for switched reluctance machines based on vector analysis
Average rated torque calculations for switched reluctance machines based on vector analysis
An average rated torque estimation for generally saturable switched reluctance (SR) machines based on vector analysis is described. The proposed analytical method enables the switched reluctance machine designers to compute quickly and relatively accurately the rated torque of the machine. This approach offers simplicity, accuracy, and intuitive insight characteristic to analytical solutions of magnetically nonlinear
problems otherwise achievable only with time-consuming computer-based numerical
simulation tools. The suggested analytical methodology, therefore, offers immediate
answers regarding the rated torque performance at the early stages of the machine
sizing and design process. In this chapter, the switched reluctance machine rated
torque calculation is derived based on the analytically estimated flux-linkage
characteristic map and the knowledge of the DC bus voltage of the machine. It is
further demonstrated that the proposed analytical rated torque calculations, based on
vector analysis, enable construction of highly accurate instantaneous phase current
profiles using a graphical method and thus aiding intuition and providing valuable
insight into the nonlinear switched reluctance machine operation and control
requirements.
The proposed method will be found particularly suitable for those studying the
nonlinear design and control of switched reluctance machine technologies for electric
vehicle traction and industrial applications.
277-303
Stuikys, Aleksas
1c8d9a3b-e9a5-435b-a765-507d1bde5c51
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
9 September 2020
Stuikys, Aleksas
1c8d9a3b-e9a5-435b-a765-507d1bde5c51
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Stuikys, Aleksas and Sykulski, Jan
(2020)
Average rated torque calculations for switched reluctance machines based on vector analysis.
In,
Esteves Araújo, Rui and Roberto Camacho, José
(eds.)
Modelling and Control of Switched Reluctance Machines.
London, UK.
IntechOpen, .
(doi:10.5772/intechopen.89097).
Record type:
Book Section
Abstract
An average rated torque estimation for generally saturable switched reluctance (SR) machines based on vector analysis is described. The proposed analytical method enables the switched reluctance machine designers to compute quickly and relatively accurately the rated torque of the machine. This approach offers simplicity, accuracy, and intuitive insight characteristic to analytical solutions of magnetically nonlinear
problems otherwise achievable only with time-consuming computer-based numerical
simulation tools. The suggested analytical methodology, therefore, offers immediate
answers regarding the rated torque performance at the early stages of the machine
sizing and design process. In this chapter, the switched reluctance machine rated
torque calculation is derived based on the analytically estimated flux-linkage
characteristic map and the knowledge of the DC bus voltage of the machine. It is
further demonstrated that the proposed analytical rated torque calculations, based on
vector analysis, enable construction of highly accurate instantaneous phase current
profiles using a graphical method and thus aiding intuition and providing valuable
insight into the nonlinear switched reluctance machine operation and control
requirements.
The proposed method will be found particularly suitable for those studying the
nonlinear design and control of switched reluctance machine technologies for electric
vehicle traction and industrial applications.
Text
Book-193098
- Version of Record
More information
Accepted/In Press date: 9 August 2020
Published date: 9 September 2020
Identifiers
Local EPrints ID: 445582
URI: http://eprints.soton.ac.uk/id/eprint/445582
PURE UUID: 38e2fe2f-c566-4bea-a0fc-104553968cf7
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Date deposited: 16 Dec 2020 17:38
Last modified: 17 Mar 2024 02:33
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Contributors
Author:
Aleksas Stuikys
Author:
Jan Sykulski
Editor:
Rui Esteves Araújo
Editor:
José Roberto Camacho
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