基于低成本惯性测量单元的船舶姿态预测

Ship attitude prediction based on low-cost inertial measurement units

  • 摘要:
    目的 在复杂海洋环境下,船舶的垂直运动一般会对海上工程作业的安全性造成严重影响,而主动升沉补偿装置可以补偿船舶的垂直运动,其所有的补偿命令均需以船舶在竖直面的运动(横摇、纵摇和垂荡)作为输入,故提出一种基于低成本惯性测量单元的船舶姿态预测方法。
    方法 基于四元数与船舶旋转运动之间的数学模型,同时考虑船舶处于动态时的线加速度,引入一个虚拟艏摇测量值,进而设计船舶姿态观测器,并采用扩展卡尔曼滤波算法来预测船舶姿态。
    结果 通过仿真分析和六自由度平台实验验证,船舶横摇角、纵摇角的预测误差均在5%以内,与常用运动参考单元的预测误差基本一致;该方法还可以预测艏摇角的相对变化,且预测误差不超过8%,从而验证了该船舶姿态预测方法的准确性和有效性。
    结论 研究成果可为波浪补偿装置提供高精度的船舶姿态数据,进而提高海洋工程作业的安全性和效率。

     

    Abstract:
    Objective  In complex marine environments, the vertical movement of ships often has a significant impact on the safety of offshore engineering operations. Active heave compensation devices can counteract the vertical movement of ships, with all compensation commands relying on the vertical vessel attitude motions (roll, pitch, and heave) as inputs. Therefore, a ship attitude prediction method based on low-cost inertial measurement unit is proposed.
    Method Based on the mathematical model relating quaternions to ship rotational motion, the linear acceleration of the ship in dynamic states is considered. A virtual yaw measurement value is introduced, and a ship attitude observer is designed. The extended Kalman filter algorithm is used to predict the ship's attitude.
    Results Simulation analysis and six-DOF platform experiments show that the prediction errors for the ship's roll and pitch angles are within 5%, comparable to those of commonly used motion reference units. In addition, the method can predict the relative change in the yaw angle with a prediction error of no more than 8%. Experiments conducted under different sea conditions confirmed the accuracy and effectiveness of the ship attitude prediction method.
    Conclusion The research results provide high-precision ship attitude data for wave compensation equipment, enhancing the safety and efficiency of marine engineering operations.

     

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