Multiple Objective Co-Optimization and Experimental Evaluation of Switched Reluctance Machine Design and Control
Author:
Affiliation:
1. Oak Ridge National Laboratory
2. The University of Tennessee
Funder
Oak Ridge National Laboratory
Battelle
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10238840/10238781/10238900.pdf?arnumber=10238900
Reference25 articles.
1. Modeling, Design Optimization, and Applications of Switched Reluctance Machines—A Review
2. Multiobjective differential evolution-based performance optimization for switched reluctance motor drives;yahia;Turkish Journal of Electrical Engineering and Computer Science,2013
3. Control Performance Comparisons among Three Types of Instantaneous Current Profiling Technique for SR Motor
4. New procedures for minimizing the torque ripple in switched reluctance motors by optimizing the phase-current profile
5. Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization
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