永久磁石同期モータの電流制御系に対するモデル予測制御の適用

概要

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This paper describes the application of model predictive control (MPC) to current control system of permanent magnet synchronous motor (PMSM). Proposed current control system considers switching states of inverter as controller output, while conventional one regards the inverter as ideal amplifier. The problem with deciding the switching state to output is formulated based on MPC, which uses the mathematical model of PMSM for prediction of future motor current and the objective function deciding the optimal switching state. This function is based on not only minimization of the error between the predicted motor current and the current reference, but actual requirements for current control system such as reduction of inverter switching times. Simulation results show that current transient response improves by proposed system, especially at the region where voltage saturation occurs.