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Using field-programmable gate array (FPGA) and current oversampling, a novel approach for anisotropy-based position estimation of PM synchronous machines is presented. A least mean squares regression of the current samples is performed by an FPGA during the inverter's passive switching states to compute current slopes at active voltage vectors and evaluate them for position estimation. Using the predictive...
This paper presents a novel approach based on current oversampling with low computational effort that significantly increases the signal-to-noise ratio with regard to sensorless control of permanent magnet synchronous machines at low and zero speed. The novel method is based on calculating arithmetic averages of all current samples taken during a period of pulse width modulation (PWM). This algorithm...
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