Compared with open-winding machine topology, series-winding topology (SWT) retains the advantages of high dc-link voltage utilization and reduces the number of switching devices. However, in five-phase series-winding permanent magnet synchronous machines (FPSW-PMSMs), $x$ – $y$ subspace and zero-sequence harmonic components (dual-harmonic components, DHC) exist simultaneously. It would cause additional harmonic currents and torque ripple. Moreover, both the inverter and the harmonic back electromotive force would generate such DHC. Thus, this article proposes a new deadbeat-based DHC suppression (DHCS)-control scheme for FPSW-PMSMs. First, the concept of deadbeat control is employed to calculate the reference voltages in different subspaces, including the $x$ – $y$ subspace and the zero-sequence subspace. Subsequently, the FPSW-PMSM drive topology with different sequences of winding connection and the corresponding basic voltage vectors (VVs) are studied for the higher voltage utilization. Based on the above VV analysis, a five-degree-of-freedom space vector modulation strategy is designed to realize the independent modulation in $\alpha $ – $\beta $ , $x$ – $y$ , and zero-sequence subspace. It promotes the synthetic VVs to different subspaces to track the reference voltages in the corresponding subspaces. Further, since the current sensors are integrated with the half-bridge power modules of the inverter, the current sensors could only measure the leg currents of the inverter, but not the phase currents of the PMSM due to the SWT. Thus, the phase current reconstruction method based on leg current is proposed for FPSW-PMSM drive. Finally, both comparative simulation and experimental results are given, which validate the proposed control scheme and recognize the necessity of DHCS.


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    Title :

    Suppression of Dual-Harmonic Components for Five-Phase Series-Winding PMSM


    Contributors:
    Dong, Zhiping (author) / Liu, Chunhua (author) / Song, Zaixin (author) / Liu, Senyi (author)


    Publication date :

    2022-03-01


    Size :

    4797539 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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