Title :
Sensorless control of SRM by the aid of artificial neural network adaptive reference model
Author :
Constantin, P. ; Chen Hao ; Colak, Ilhami ; Tasho, T. ; Yassen, G.
Author_Institution :
Tech. Univ. of Sofia, Sofia, Bulgaria
fDate :
Aug. 30 2011-Sept. 1 2011
Abstract :
This paper deals with an adaptive reference controlled SRM, based on a virtual model implemented by the aid of artificial neural networks. That makes the model quite precise and adequate and permits real SRM and full-order observer to work in parallel. This observer promotes the implementation of sensorless control.
Keywords :
adaptive control; neurocontrollers; observers; reluctance motors; sensorless machine control; adaptive reference controlled SRM; artificial neural network; full-order observer; sensorless control; switched reluctance motor; Adaptation models; Computational modeling; Mathematical model; Reluctance motors; Sensorless control; Stators; Torque; Adaptive control; Modelling; Neural network; Sensorless control; Switched reluctance drive;
Conference_Titel :
Power Electronics and Applications (EPE 2011), Proceedings of the 2011-14th European Conference on
Conference_Location :
Birmingham
Print_ISBN :
978-1-61284-167-0
Electronic_ISBN :
978-90-75815-15-3
