Abstract：The salient-pole characteristics and rotor position estimation error pose challenges in the sensor less control system of induction motors (IMs) based on the high-frequency pulsating injection (HFPI) method at low speeds, ultimately compromising the reliability and stability of motor operation. Based on the high switching frequency characteristic of the silicon carbide (SiC) inverter, increasing the frequency of the injection voltage thus enhances the saturated salient pole of the IM. To mitigate the rotor position estimation error caused by the deadtime of the inverter, this paper leverages the high switching speed of SiC devices and a harmonic suppression method based on a second-order generalized integrator (SOGI) to improve the accuracy of rotor position estimation. According to the skin effect, the influence of different injection frequencies of the SiC inverter on the rotor bar of the IM is analyzed, where the high-frequency inductance varies with the injection frequency due to changes in the distribution of magnetic lines within the rotor bar. Then, based on this, the relationship between the high-frequency inductances of the d-q coordinate axis and different injection frequencies in the field-oriented control system of the IM is constructed by the finite element method. Finally, based on the improved measurement method of high-frequency inductance in the d-q coordinate axis, it effectively verified that the high injection frequency can enhance the saturated salient pole of the IM. By the traditional method for extracting rotor position information, the relationship between the dead time and the rotor position estimation error is derived. Based on the high switching speed of the SiC inverter, setting a short dead time can reduce the 6k th harmonic in rotor position estimation. To mitigate the influence of the 6th harmonic, a specific harmonic elimination scheme based on SOGI is proposed toenhance theaccuracy of rotor position estimation. Additionally, to prevent the influence of SOGI parameter mismatch on the suppression effect, the parameter k needs to be selected reasonably to improve the low-speed performance under both dynamic and static conditions. To validate the effectiveness of sensorless control using the HFPI method for IMs at low speeds based on SiC inverters, a 7.5 kW SiC inverter-based IM test platform was set up. Experimental results demonstrate that the HFPI method, implemented with SiC inverters, enhances the low-speed operational performance of the IM. The saturated salient-pole measurement tests were conducted to verify the effectiveness of high injection frequency in enhancing the saturated salient pole of the IM. As observed in the current spectrum, the main salient pole of the injection frequency of 1 600 Hz exhibits a 37.67% greater amplitude compared to that of 500 Hz. Additionally, to verify the impact of high switching speed on the rotor estimation error, the dead time of the SiC inverter was adjusted to test the accuracy of rotor position estimation. Analysis of the speed spectrum at a 16 kHz switching frequency reveals that a 0.5 μs dead time reduces the 6th harmonic component by 25% compared to a 2 μs dead time. Combining the specific harmonic suppression algorithm based on SOGI can further reduce the speed estimation error. These experimental results have confirmed that in the HFPI method, the IM driven by the SiC inverter can enhance the reliability and accuracy of rotor position estimation at low speeds.
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