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Modelling and simulation of a surface vessel by experimental approach with low-cost sensors

机译:使用低成本传感器的实验方法对水面舰船进行建模和仿真

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This study aims to propose a methodology to develop the mathematical models of a model scaled surface ship, the Nedlloyd Hoorn, with low-cost sensors through free running tests. The computing platform, namely myRIO, and corresponding software LabVIEW were used to control the model scaled vessel and collect data from low-cost sensors, including an accelerometer, gyroscope, digital compass, and GPS, during the free running tests. The logged data was processed by the smoothing spline method and employed to estimate the unknown hydrodynamic coefficients by the Least Square Method. Modelling was conducted by using the proposed 1st and 2nd order Nomoto's manoeuvring models in MATLAB. The simulation data and the experimental data were compared to validate the rationality of the mathematical models. It was found that the 1st and 2nd order Nomoto's manoeuvring models were capable of predicting the manoeuvring features of the model scaled vessel and the 2nd order model yielded more accurate prediction than the 1st order model.
机译:这项研究的目的是提出一种方法,以通过自由运行测试开发带有低成本传感器的比例缩放水面舰艇Nedlloyd Hoorn的数学模型。在自由运行测试期间,使用了计算平台myRIO和相应的LabVIEW软件来控制模型缩放的容器并从低成本传感器(包括加速度计,陀螺仪,数字罗盘和GPS)收集数据。记录的数据通过平滑样条方法进行处理,并通过最小二乘法用于估计未知的流体动力系数。通过在MATLAB中使用建议的一阶和二阶Nomoto机动模型进行建模。比较了仿真数据和实验数据,验证了数学模型的合理性。发现一阶和二阶Nomoto的操纵模型能够预测模型缩放船只的操纵特征,并且二阶模型比一阶模型产生更准确的预测。

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