DocumentCode
1210135
Title
A new technique for multidimensional performance optimization of switched reluctance motors for vehicle propulsion
Author
Omekanda, Avoki M.
Author_Institution
Delphi Res. Labs, Shelby Township, MI, USA
Volume
39
Issue
3
fYear
2003
Firstpage
672
Lastpage
676
Abstract
This paper presents a new and simple search technique to determine the optimum control parameters, such as turn-on and turn-off angles, current set level, etc., of a switched reluctance drive. Thanks to this new technique, several drive performance quantities such as efficiencies, torque ripple, energy consumption, torque per ampere, etc., can be optimized simultaneously over the entire torque- or power-speed operation range of the drive. In prior work, these performance quantities were sequentially optimized, one at a time, this despite reported evidence that improving one performance quantity, such as efficiency, can have a negative impact on others, such as torque ripple. The technique was successfully used offline to determine the optimum firing angles for achieving highest drive efficiency with lower torque ripple in a 102-kW switched reluctance motor drive intended for electric vehicle propulsion. The performance prediction and test results are found in good correlation.
Keywords
electric propulsion; electric vehicles; machine control; machine theory; optimal control; reluctance motor drives; torque control; 102 kW; current set level; drive efficiency; efficiencies; electric vehicle propulsion; energy consumption; multidimensional performance optimization; optimum control parameters; optimum firing angles; simple search technique; switched reluctance drive; switched reluctance motor drive; switched reluctance motors; torque per ampere; torque ripple; turn-off angles; turn-on angles; vehicle propulsion; Electric vehicles; Energy consumption; Multidimensional systems; Optimization; Propulsion; Reluctance machines; Reluctance motors; Testing; Torque; Vehicle driving;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/TIA.2003.810632
Filename
1201533
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