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A Modified Current Predict Controll with Incremental Inductance and Resistance Self-learning for Switched Reluctance Machines

A fixed switching frequency current predict control method for switched reluctance motors (SRM) is presented in this paper. Utilizing the incremental inductance profile measured by the rotating method, the proposed current controller accurately predicts the required RMS voltage for a given reference current in next time step. Besides, considering the actual delay time of digital controller, this paper proposes a delay compensation method based on the iteration. Afterward, recursive least-squares (RLS) is used for resistance estimation while an adaptive controller is used to dynamically update CPC models. The control method is verified through simulation and followed by experimental validation based on TMS320F28335 DSP.