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A torque model study of switched reluctance motor using BP neural network

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3 Author(s)
Jia Haolai ; Taiyuan Univ. of Technol., China ; Chen Yan ; Wang Zhenmin

In the paper, a neural network torque model of a switched reluctance motor (SRM) is established, based on the merits of the backpropagation (BP) neural network in the area of modeling and control of nonlinear systems. The simulation results show that the torque model based on BP-neural network is more robust and adaptive, and can reflect the working properties of SRM more accuracy than the local linearization torque model

Published in:

Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on  (Volume:2 )

Date of Conference:

Aug 2001