• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Maekawa Sari  前川 佐理

ORCIDConnect your ORCID iD *help
Researcher Number 90849225
Affiliation (Current) 2025: 明治大学, 理工学部, 専任准教授
Affiliation (based on the past Project Information) *help 2024: 明治大学, 理工学部, 専任准教授
2022: 明治大学, 理工学部, 専任准教授
2020 – 2021: 成蹊大学, 理工学部, 准教授
Review Section/Research Field
Principal Investigator
Basic Section 21010:Power engineering-related
Keywords
Principal Investigator
センサレス制御 / 永久磁石同期モータ / AI / パワーモジュール / 電流検出 / 深層学習 / 学習 / 自動調整 / パラメータ同定 / 制御パラメータ … More / PMSM / 安定性 / 制御ゲイン / ニューラルネットワーク / オートチューニング Less
  • Research Projects

    (2 results)
  • Research Products

    (3 results)
  •  PMSMの磁極位置及び電流推定機能を持つインテリジェントデバイスの深層学習による構築Principal Investigator

    • Principal Investigator
      前川 佐理
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 21010:Power engineering-related
    • Research Institution
      Meiji University
  •  Study on automatic tuning method for PMSM sensorless control using deep learning without adjustment processPrincipal Investigator

    • Principal Investigator
      Maekawa Sari
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 21010:Power engineering-related
    • Research Institution
      Meiji University
      Seikei University

All 2022 2020

All Journal Article Presentation

  • [Journal Article] Automatic Tuning Method for PMSM using Big Data based Artificial Neural Network2022

    • Author(s)
      Sari Maekawa
    • Journal Title

      IEEJ Journal of Industry Applications

      Volume: 11 Issue: 1 Pages: 185-186

    • DOI

      10.1541/ieejjia.L21000741

    • NAID

      130008139369

    • ISSN
      2187-1094, 2187-1108
    • Year and Date
      2022-01-01
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K04451
  • [Presentation] Self-Tuning for each PMSM Controller using Big Data based ANN2022

    • Author(s)
      Sari Maekawa
    • Organizer
      2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K04451
  • [Presentation] The Proposal of discriminating stable control bandwidth using ANN in sensorless speed control system for PMSM2020

    • Author(s)
      Tanaka Ami、Maekawa Sari
    • Organizer
      2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K04451

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi