期刊
IEEE TRANSACTIONS ON POWER ELECTRONICS
卷 33, 期 10, 页码 8994-9004出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2017.2783920
关键词
Adaptive super-twisting algorithm (STA); permanent magnet synchronous machine (PMSM); sensorless control; sliding-mode observer; voltage-source inverter (VSI) nonlinearity compensation
This paper proposes an adaptive super-twisting algorithm based sliding-mode observer for surfacemounted -mpermanent magnet synchronous machine (PMSM) sensorless control, in which voltage source inverter (VSI) nonlinearity is taken into consideration. An adaptive algorithm for online tuning the sliding-mode coefficients of STA-SMO is proposed based on the existing stable conditions. Thus, position estimation error can be reduced by the proposed adaptive algorithm in wide-speed range. Furthermore, voltage distortion due to VSI nonlinearity is online compensated to improve the accuracy of PMSM model. Because mismatch between reference and actual voltage due to VSI nonlinearity may bring large rotor position and speed estimation error, especially in low-speed range where distorted voltages may become dominant compared to actual voltages. Thus, a STASMO with adaptive sliding-mode coefficients and accurate voltage value could be obtained. Finally, the effectiveness of the proposed adaptive STA-SMO with online VSI nonlinearity compensation is verified on a surface-mounted PMSM by experiments.
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