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Control Optimization of a Slotted Switched Reluctance Generator for High-torque Applications.
- Source :
-
Electric Power Components & Systems . Apr2014, Vol. 42 Issue 6, p629-638. 10p. - Publication Year :
- 2014
-
Abstract
- This article describes the control optimization of a slotted switched reluctance generator for low-speed applications. The machine is simulated with the finite-element method. The turn-off and turn-on angles are optimized by means of a genetic algorithm to maximize the output power and minimize the torque ripple. First, these two criteria are optimized separately with a mono-objective genetic algorithm, and then a multi-objective Pareto genetic algorithm is used. An analysis of optimized parameters and resulting current waveforms is also performed. Experimental results based on a 6/4 switched reluctance generator are also presented. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15325008
- Volume :
- 42
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Electric Power Components & Systems
- Publication Type :
- Academic Journal
- Accession number :
- 94907820
- Full Text :
- https://doi.org/10.1080/15325008.2014.880966