Title :
Nonlinear modeling of switched reluctance machine
Author :
Qu, Bingni ; Song, Jiancheng ; Jia, Huiyong ; Jin, Zhixin
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
As the static magnetic characteristic of switched reluctance machine(SRM) is nonlinear and its accurate mathematical modeling is difficult to set up, the least squares support vector machine method has been used to the nonlinear modeling of switched reluctance machine. For an 8/6 SRM prototype, The flux-linkage characteristic and the torque-angle characteristic of has been obtained by experimental method, and the model of switched reluctance machine based on the least squares support vector machine has been build and its drive system has been simulated. The experimental results show that the simulated current waveform is in accordance with the experimental one, which verify the correctness of modeling method in this paper.
Keywords :
least squares approximations; power engineering computing; reluctance machines; support vector machines; torque; flux-linkage characteristic; least squares support vector machine method; nonlinear modeling; static magnetic characteristic; switched reluctance machine; torque-angle characteristic; Adaptation models; Mathematical model; Reluctance motors; Support vector machines; Switches; Training;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
DOI :
10.1109/ICEMS.2011.6073849
