SINGLE VECTOR-BASED FINITE CONTROL SET MODEL PREDICTIVE CONTROL METHOD OF TWO PARALLEL POWER CONVERTERS

    公开(公告)号:US20230344367A1

    公开(公告)日:2023-10-26

    申请号:US18127061

    申请日:2023-03-28

    CPC classification number: G05B13/048 H02M7/525 G05B13/042 G05B17/02

    Abstract: This invention proposes a single-vector-based finite control set model predictive control for two parallel power converters, which adopts a centralized control structure to achieve accurate control of overall performance. It establishes predictive models for line currents and three phase-circulating currents and constructs a novel cost function that uses these currents as performance indices to implement the predictive control algorithm based on the proposed predictive models. The invention proposes dynamic weighting coefficients and adjustment principles to improve system control performance. A finite set output signal matrix containing important characteristic information of all alternative vectors is constructed to avoid redundant calculations in each control horizon, reducing computation time during practical implementation. This invention addresses the limitations of existing one-vector-based FCS-MPC for two paralleled power converters, which controls each sub-converter individually with a set of available eight control actions and cannot effectively regulate the overall performance of the two paralleled power converters.

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