A methodology for characterizing fault tolerant switched reluctance motors using neurogenetically derived modelsIEEE Transactions on Energy Conversion - Tập 17 Số 3 - Trang 380-384 - 2002
L.A. Belfore, A. Arkadan
This paper examines the feasibility of using artificial neural networks (ANNs) and genetic algorithms (GAs) to develop discrete time dynamic models for fault free and faulted switched-reluctance-motor (SRM) drive systems. The results of using the ANN-GA-based (neurogenetic) model to predict the performance characteristics of a prototype SRM drive motor under normal and abnormal operating condition...... hiện toàn bộ
#Fault tolerance #Reluctance motors #Artificial neural networks #Circuit faults #Coupling circuits #Magnetic circuits #Genetic algorithms #Reluctance machines #DC motors #Synchronous motors
Analysis, dimensional sizing and configuration comparison of switched-reluctance motors operating under multiphase excitationIEEE Transactions on Energy Conversion - Tập 17 Số 3 - Trang 325-331 - 2002
E.M. Hall, S.S. Ramamurthy, J.C. Balda
The paper presents a simple approach for analyzing switched reluctance motors (SRMs) operating under multiphase excitation. The analysis results in specific design coefficients [derived from the SRM flux and magnetomotive force (MMF) distributions that can be used in a methodology] to calculate the SRMs initial dimensions while taking into account the magnetic loading and electric loading. Finally...... hiện toàn bộ
#Reluctance motors #Reluctance machines #Torque #Magnetic flux #Saturation magnetization #Stators #Magnetic analysis #Rotors #Magnetic separation #Finite element methods