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Design and Analysis of an Extended Kalman-Filter for Self-Sensing of a Synchronous Reluctance Motor with Connected Inverter Output Filter

For self-sensing control of a synchronous reluctance machine connected to the inverter via a LC-filter an extended Kalman-Filter is designed in this paper. Thereby, only the inverter output current is measured. The parameters of the extended Kalman-Filter (EKF) are chosen by a brute-force optimization approach with a multiple quality criteria. For implementation purpose, the discretization of the observer is discussed. The functionality of the optimized parameter set is investigated in simulated closed loop self-sensing control.