Title :
Neural network torque estimator for switched reluctance motor
Author :
Pavlitov, Constantin ; Chen, Hao ; Gorbounov, Yassen ; Georgiev, Tzanko ; Xing, Wang ; Zan, Xiaoshu
Author_Institution :
Tech. Univ. of Sofia, Sofia, Bulgaria
Abstract :
The neural network torque estimator is based on the identification model of SR motors. It is derived from this model using the concept of superposition of elementary models. The estimator can be applied in SRM controllers where the limitation of dynamic torque is of importance. It is also useful for torque ripple reduction.
Keywords :
electric machine analysis computing; neural nets; reluctance motors; SRM controllers; elementary models; neural network torque estimator; switched reluctance motor; torque ripple reduction; Artificial neural networks; Inductance; Mathematical model; Neural networks; Reluctance machines; Reluctance motors; Rotors; Stators; Strontium; Torque; Estimation technique; Modelling; Neural network; Switched reluctance drive;
Conference_Titel :
Power Electronics and Applications, 2009. EPE '09. 13th European Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4432-8
Electronic_ISBN :
978-90-75815-13-9
