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Position Error Fluctuation Elimination for Model-Based Self-Sensing IPMSM Drives Incorporating ROGI Decoupling Network

Model-based self-sensing approaches for interior permanent magnet synchronous motor (IPMSM) drives suffer from the periodic position error fluctuations, owing to the influence of inverter nonlinearities and also flux spatial harmonics. In this paper, an alternative solution to eliminate the periodic position error fluctuations is proposed, through incorporating a low computational burden adaptive filter structure based on a multiple reduced-order generalized integrators (MROGI) harmonic decoupling network (HDN). The newly proposed MROGI-HDN with frequency and sequence selective nature can detect and compensate the BEMF harmonic distortions adaptively without offline calibration or online plant modeling, leading to the complete elimination of position error fluctuations. Experimental results are provided on a 2.2-kW self-sensing IPMSM drive, confirming the validity in eliminating the position error fluctuations of the proposed MROGI-HDN.