計測自動制御学会論文集
Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654
パラメータ学習による船舶姿勢オンライン計測の高精度化
田中 正吾米澤 俊昭
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ジャーナル フリー

1999 年 35 巻 8 号 p. 1036-1043

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For an accurate on-line measurement of ship's attitude, the authors previously developed a measurement system with one servo-type accelerometer and two servo-type inclinometers which were appropriately located on the ship. The above strategy introduced linear dynamic systems, as dynamic models of the attitude signals, characterized by the candidates of the angular frequencies of the signals. Furthermore, a bank of Kalman filters were used to realize an on-line measurement of the signals and also to overcome possible changes in the parameters as time lapse. This method realized a comparatively accurate on-line measurement of ship's attitude on rolling, pitching and heaving. This paper proposes a method which realizes a much higher accurate on-line measurement with an effective update algorithm for the candidates and shows the effectiveness of the proposed approach by simulations.
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