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Research on dynamic positioning of Model-Converted ROV anti-waves based on micro inertial navigation sensors

机译:基于微惯性导航传感器的模型转换ROV反波动态定位研究

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In terms of the uncertainties induced by wave disturbances when an underwater vehicle is operated by the surface of water, a dynamic model based on CFD is built to analyze 6DOF positioning combining with the novelty Model-Converted Remotely Operated Vehicle (MC-ROV) of ocean engineering. A strategy of force and moment allocations is designed according to positioning error, then compensating it with an algorithm known as Non-singular Terminal Sliding Model (NTSM) to low the impact brought by waves likewise. And based on Micro-Electro-Mechanical Systems (MEMS) devices, an integrated micro inertial navigation system is designed. The Unscented Kalman Filter (UKF) is used to improve the navigation accuracy and estimate the real-time location information of MC-ROV. Simulation results show that the proposed algorithm can make the underwater vehicle reach a pre-given position rapidly and effectively, moreover it can adjust the strategy of force and moment promptly when encounters with perturbations so that reduces the negative effects.
机译:针对水下航行器在水面操作时波浪扰动带来的不确定性,建立了基于CFD的动力学模型,结合新颖的海洋模型转换遥控船(MC-ROV),对6DOF定位进行了分析。工程。根据定位误差设计了一种力和力矩分配策略,然后使用称为非奇异终端滑动模型(NTSM)的算法对其进行补偿,以同样降低波浪带来的影响。并基于微机电系统(MEMS)设备,设计了一个集成的微惯性导航系统。 Unscented Kalman滤波器(UKF)用于提高导航精度并估计MC-ROV的实时位置信息。仿真结果表明,该算法能使水下航行器快速有效地达到预定位置,并且在遇到扰动时能及时调整力和力矩策略,减少了负面影响。

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