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安全造成严重的影响,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(横摇、纵摇和垂荡)的运动作为输入,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备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 environment, the vertical movement of ships often has a significant impact on the safety of offshore engineering operations. Active heave compensation devices can compensation for the vertical movement of ships, and all of its compensation commands need to be based on the vertical vessel attitude motion (roll, pitch,heave) as an input. Therefore, a ship attitude prediction method based on low-cost inertial measurement unit is proposed.
    Methods Based on the mathematical model between quaternion and ship rotating motion, the linear acceleration of the ship when it is in the dynamic state is taken into account, and a virtual yaw measurement value is introduced, an ship attitude observer is designed. The extended Kalman filter algorithm is used to predict the ship attitude.
    Results By simulation analysis and six-DOF platform experiments, and the prediction errors of the ship's roll angle and pitch angle are within 5%, which are comparable to the prediction errors of commonly used motion reference units. In addition, the method can also predict the relative change of yaw angle with an prediction error of no more than 8%, the analysis experiments under different sea conditions verified the accuracy and effectiveness of the ship attitude prediction method.
    Conclusions The research results can provide high-precision ship attitude data for wave compensation equipment, enhancing the safety and efficiency of marine engineering operations.

     

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