A novel mathematic model for switched reluctance motor(SRM)was proposed. The Fourier series expression and curve fitting method were used to model the flux linkage according to the inductance data of five positions
then the torque characteristics were sought out via the principle of virtual displacement
and adaptive network-based fuzzy inference system(ANFIS)was utilized to train the torque-angle model. The simulation and experiment were carried out comparatively on SRM with six stator poles and four rotor poles based on the nonlinear flux linkage model and torque-angle model of ANFIS to demonstrate the both coincidence with a maximal error lower than 5%. And the method is expected to apply to SRM flux linkage control and torque control to provide the basis for engineering design and debugging.
Gan Weihong,Lin Hui,Qi Rong.A nonlinear model of switched reluctance motor based on structural parameters[J]. Modern Electric Power,2005, 22(5):47-51.
Radimov N, Ben-Hail N, Rabinaovici R. Simple model of switched reluctance machine based on only aligned and unaligned position data[J]. IEEE Transactions on Magnetics, 2004,40(3):1562-1572.
Xue Xiangdang, Cheng K W E, Ho S L. Simulation of switched reluctance motor drives using two dimensional bicubic spline[J]. IEEE Transactions on Energy Conversion, 2002, 17(4):471-477.
Zhou Bo, Ren Lili, Wei Hairong. The simplified modeling for doubly salient electro-magnetic machines based on equivalent inductance[J]. Proceedings of the CSEE,2005,25(14): 109-114.
吴晓莉,林哲辉. MATLAB辅助模糊系统设计[M]. 西安:西安电子科技大学出版社,2002.
Soares F, Costa Branco P J.Simulation of a 6/4 switched reluctance motor based on Matlab/Simulink environment[J]. IEEE Transactions on Aerospace and Electronic Systems, 2001,37(3):989-1007.