This paper addresses the estimation of a permanent magnet synchronous machine mechanical position and speed estimation at low speed and standstill. The method is based on the injection of an additive voltage at High Frequency (HF), which exploits the position dependency to the magnetic saliency. Unlike the usual HFI method, this estimator has a simple structure with only one filter. The simulation results prove the efficacy of the estimation under no load and with a load torque in the low speed region and at standstill. The mechanical position estimation errors are lower than 0.035rad (2°).
In this paper, we propose to design a sensorless controller that can cope both with performance and robustness by the hybridization of two controllers. The strategy introduced in this paper includes the sensorless active fault tolerant controller of the PMSM drive at high speed. It is built with the combination of a vector controller, two virtual sensors: Luenberger and adaptive back-EMF observers, and a voting algorithm using Newton-Raphson method. Simulation results are provided to verify effectiveness of the proposed strategy of a 1kW PMSM motor driven by fault tolerant control in case of position sensor outage.
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