モデル予測制御に基づくPMSM電流制御系の定常電流制御性能改善のための探索空間設計
モデル予測制御に基づくPMSM電流制御系の定常電流制御性能改善のための探索空間設計
カテゴリ: 論文誌(論文単位)
グループ名: 【D】産業応用部門
発行日: 2020/06/01
タイトル(英語): Design of Search Space for Improving the Steady Current Control Performance of PMSM Current Control System based on Model Predictive Control
著者名: 嶋岡 雅浩(名古屋大学),道木 慎二(名古屋大学)
著者名(英語): Masahiro Shimaoka (Nagoya University), Shinji Doki (Nagoya University)
キーワード: 永久磁石同期モータ,モデル予測制御,電流ベクトル制御,探索空間設計,定常電流制御性能改善 PMSM,model predictive control,current vector control,design of search space,improvement of steady current control performance
要約(英語): This paper proposes a method to design the search space of Model Predictive Control (MPC) for improving the steady current control performance of Permanent Magnet Synchronous Motor (PMSM) current control system. A current control system based on MPC predicts the future current behaviors for considerable input voltage and determines the optimum input voltage by evaluating these behaviors. However, the basic MPC has inferior steady current control performance depending on the operating points. This is because the search space of basic MPC represented by voltage vectors is not suitable appropriate for PMSM current control. To overcome this problem, we consider difference of search space of basic MPC and current vector control with a modulator such as Pulse Width Modulation (PWM) or Space Vector Modulation (SVM) and clarify the necessary search space for improving the steady current control performance. Then we propose a design method for the search space, and through experimentation, we show that proposed design method can improve the steady current control performance.
本誌: 電気学会論文誌D(産業応用部門誌) Vol.140 No.6 (2020)
本誌掲載ページ: 468-479 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/140/6/140_468/_article/-char/ja/
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