An approach to identification of a class of Switched Reluctance Motors

The purpose of the paper is to point out an approach that ensures a mathematical description of different switched reluctance motors (SRM) with central geometrical symmetry of active poles, such as SRM6-4, SRM8-6, SRM12-8 etc. The SRM becomes popular nowadays because of the rapid development of control electronics and simulation facilities. In order to build up a proper SRM drive, it is necessary to create convenient simulation model of the motor. But the identification of this motor is rather sophisticated due to the fact that the stator inductance depends on both, position of the rotor and the stator current. This fact extremely complicates the mathematical model of the SRM, describing it by partial differential equations. To make the things easier, neural network descriptions are suggested. They simplify the process of identification using Matlab Simulink. These descriptions also reflect the high nonlinearity of the magnetic circuit and the influence of the air gap.