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Adaptive robust control and oscillation estimation for offshore mechanical systems

Research Project

Project/Area Number 16K06902
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Naval and maritime engineering
Research InstitutionTokyo University of Marine Science and Technology

Principal Investigator

Masayoshi Toda  東京海洋大学, 学術研究院, 教授 (70262342)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Keywords適応カルマンフィルタ / H∞フィルタ / スイッチングフィルタ / カルマンフィルタの漸近安定性 / イノベーション / スイッチングH∞制御 / カルマンフィルタ / 適応アルゴリズム / 機械力学・制御 / 海洋工学
Outline of Final Research Achievements

In this study, we consider motion control systems for ocean mechanical systems subject to wave-induced base oscillation such as offshore/onboard cranes, radar attitude control systems, and so on. In this research term, we have developed an adaptive robust control method and an adaptive robust oscillation estimation one to cope with frequency variation due to ship motion . The control method is based on switching multiple H∞ controllers for respective frequencies. The estimation method is based on selectively combining a Kalaman filter with adaptive gain and the conventional H∞ filter. Evaluations were conducted for the control method by simulations and for the estimation method by not only simulations but also model experiments using a gyro sensor respectively, and consequently those results have shown their effectiveness.

Academic Significance and Societal Importance of the Research Achievements

本研究の成果は,動揺下にある海上機械システムの作業性能および安全性の向上に寄与するものであり,海洋における食料資源のみならず鉱物,エネルギー資源への需要または関心が高まる中,その社会的意義は大きいと考える.また,学術面においては,特に推定手法の基礎となるイノベーション(計測値と計測値の推定値の差)に基づいたカルマンゲインの適応化およびH∞フィルタとのスイッチングは新たな手法であり,それぞれのフィルタの利点を活用した有効な手法として大きな意義を有する.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (1 results)

All 2019

All Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results)

  • [Journal Article] Adaptive Algorithms of Tuning and Switching Kalman and H∞ Filters and Their Application to Estimation of Ship Oscillation with Time-Varying Frequencies2019

    • Author(s)
      Masahiro Sato and Masayoshi Toda
    • Journal Title

      IEEE Transactions on Industrial Electronics

      Volume: 66 Issue: 1 Pages: 1-12

    • DOI

      10.1109/tie.2019.2896113

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Int'l Joint Research

URL: 

Published: 2016-04-21   Modified: 2020-03-30  

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