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• W4300773988 startingPage "5504" @default.
• W4300773988 abstract "The back-electromotive force (BEMF)-based position estimation is attractive for sensorless permanent magnet synchronous motor (PMSM) drives. However, it shows weak robustness against the low-frequency disturbance induced by the practical nonideal conditions. This results in the trajectory deviation of the estimated BEMF, causing apparent position estimation error. To address this problem, this paper proposed a sequence-separation complex vector observer to optimize the trajectory of the estimated BEMF. First, a sequence separation structure is designed to remove the response of the equivalent negative sequence disturbance at the operation frequency. On this basis, the speed-adaptive disturbance compensation law is added into the observer to force the center of the estimated BEMF converging to the original point. Compared with the conventional method, the studied BEMF observer can ensure accurate position estimation by optimizing the trajectory of estimated BEMF. Finally, the studied algorithm is experimentally verified on a 2.2kW ARM-based PMSM platform." @default.
• W4300773988 created "2022-10-04" @default.
• W4300773988 creator A5005980104 @default.
• W4300773988 creator A5014595746 @default.
• W4300773988 date "2023-06-01" @default.
• W4300773988 modified "2023-10-06" @default.
• W4300773988 title "Sequence-Separation Complex-Vector Observer in Sensorless PMSM Drives for BEMF Trajectory Optimization" @default.
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• W4300773988 doi "https://doi.org/10.1109/tie.2022.3196354" @default.
• W4300773988 hasPublicationYear "2023" @default.
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