Switched reluctance machine model using inverse inductance characterization

This work sets forth a new switched reluctance machine model based on a current dependent inverse inductance representation of the flux linkage versus current and position characteristic. This form permits a particularly simple mathematical description. Based on this relationship, a complete state model of the device is derived. The resulting model is easy to implement and computationally efficient. In addition, both manual and genetic algorithm based methods of parameter identification are set forth. The accuracy of the model is tested via comparison to laboratory measurements of the machine´s steady state voltage and current waveforms as well as torque-speed characteristics. The proposed model is shown to be quite accurate.