まき網漁船の操業時における鐶締めワイヤー張力に関する研究 : ニューラルネットワークモデルによるワイヤー張力の推定 A Study of the Purse Wire Tension Working on a 135 GT Purse Seiner during a Fishing Operation : Estimate of Tension Working on the Wire using a Neural Network Model

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Abstract

135GT型まき網漁船の操業時における網船の鐶締めワイヤー張力の勤的制御を行うための第一段階として,ワイヤー張力が最も大きく,船体横傾斜も大きいと言われる鐶が閉まる前後状態において,その入出力関係に対し非線形な応答関係を想定し,ニューラルネットワークモデルを用いて張力の推定を行った場合の有効性について模型実験(ワイヤーの巻き上げスピードは無し)を行い検討した。その結果,線形モデルでは推定が難しいとされる波がうねる様な状況においても,ワイヤー張力変動を良く推定しており,非線形性の強い横波状態におけるまき網漁船の鐶締めワイヤー張力の応答系に,ニューラルネットワークモデルを適用することの有効性が確認された。

As the first step in the dynamic control of the purse wire tension for a 135 GT purse seiner during a fishingoperation, the effectiveness of a Neural Network model to estimate the wire tension is described based on thepostulation that the output shows a nonlinear response to the input during the final step of the pursing work, j.e.,the sinker edge of the net cup being almost closed, which corresponds to the step of the largest purse wire tensionin other words, the largest heel of the seiner.Based on the results measured from a test model in a tank (with zero winding up speed of wire), estimateswith a satisfactory level of accuracy can be obtained for the purse wire tension under a compound wave, in spiteof the estimation difficulty using a linear model. This result demonstrates the effectiveness of the Neural Network model to the nonlinear response system of tension between the purse wire and purse seiner in heavy beam seas.

Journal

  • Journal of Fisheries Engineering

    Journal of Fisheries Engineering 36(3), 243-248, 2000-02-01

    The Japanese Society of Fisheries Engineering

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  • On the Motions and the Safety of a 135 GT Purse Seiner during a Cycle of Shooting and Hauling Work  [in Japanese]

    HAMAGUCHI Masato , KIMURA Nobuo , AMAGAI Kiyoshi

    Journal of Fisheries Engineering 32(2), 79-87, 1995-11-30

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  • A Study of the Forecasting for the Rolling Motion of a Small Fishing Vessel Using a Neural Network Model  [in Japanese]

    AMAGAI Kiyoshi , KIMURA Nobuo , HOKIMOTO Tsukasa , IWAMORI Toshihiro

    Journal of Fisheries Engineering 34(2), 155-161, 1997-12-12

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Codes

  • NII Article ID (NAID)
    10008273619
  • NII NACSIS-CAT ID (NCID)
    AN10278554
  • Text Lang
    ENG
  • Article Type
    ART
  • ISSN
    09167617
  • NDL Article ID
    5310097
  • NDL Source Classification
    ZR26(科学技術--農林水産--水産)
  • NDL Call No.
    Z18-1327
  • Data Source
    CJP  NDL  J-STAGE  JASI 
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