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
Improved field oriented control of an LIM having joints in its secondary conductorsIEEE Transactions on Energy Conversion - Tập 17 Số 3 - Trang 349-355 - 2002
A. Gastli
This paper presents a primary-flux-control algorithm suitable for applications in short-primary long-secondary linear induction motor-drive systems. The advantage of the proposed control algorithm is that it is more robust than the conventional vector control algorithm to the variation of the secondary resistance caused by the effect of a joint in the secondary conductors, which can be made of sev...... hiện toàn bộ
#Conductors #Machine vector control #Rails #Magnetic fields #Aluminum #Elevators #Analytical models #Robust control #Fluctuations #Induction motors