Application of Model Predictive Control for Current Control System of Permanent Magnet Synchronous Motor

DOI Web Site Web Site 1 Citations 19 References
  • Kadota Mitsuhiro
    Hitachi Research Laboratory, Hitachi, Ltd.
  • Doki Shinji
    Depertment of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya University
  • Okuma Shigeru
    Depertment of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya University

Bibliographic Information

Other Title
  • 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
  • エイキュウ ジシャク ドウキ モータ ノ デンリュウ セイギョケイ ニ タイスル モデル ヨソク セイギョ ノ テキヨウ

Search this article

Abstract

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.

Journal

Citations (1)*help

See more

References(19)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top