Abstract:
This paper presents the results of a study on the feasibility of using artificial neural networks (ANNs) and genetic algorithms (GAs) to predict the performance character...Show MoreMetadata
Abstract:
This paper presents the results of a study on the feasibility of using artificial neural networks (ANNs) and genetic algorithms (GAs) to predict the performance characteristics of faulted switched reluctance motor (SRRI) drive systems. In this work, the ANNs are applied for their well known interpolation capabilities for highly nonlinear systems. In addition, the GAs are employed for their ability to search a complex structural and parametric space as necessary to find good ANN solutions. Also, an integrated finite elements/state space modeling approach is used to generate training data sets for the SRM drive system. Furthermore, the results are compared to test data.
Published in: IEEE Transactions on Magnetics ( Volume: 34, Issue: 5, September 1998)
DOI: 10.1109/20.717853