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Identification of Hydrodynamic Derivatives from AUV #x0022;Pirajuba#x0022; Using Extended Kalman Filter

机译:使用扩展卡尔曼滤波器从AUV“ Pirajuba”中识别水动力衍生物

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The paper shows a practical application of the use of Extended Kalman Filter (EKF) in determining the hydrodynamic derivatives of an Autonomous Underwater Vehicle for a (AUV). The work is worth the experimental results of the underwater vehicle "Pirajuba" developed by LVNT (Not Manned Vehicle Laboratory) of Polytechnic School from University of São Paulo (USP). Discuss in practical terms the convergence criteria of the Kalman filter, and process validation of the mathematical model to calculate the hydrodynamic derivatives.
机译:本文显示了使用扩展卡尔曼滤波器(EKF)来确定自动水下航行器(AUV)的流体动力学导数的实际应用。这项工作值得圣保罗大学(USP)理工学院的LVNT(非载人车辆实验室)开发的水下航行器“ Pirajuba”的实验结果。在实践中讨论卡尔曼滤波器的收敛准则,以及对数学模型进行过程验证以计算流体动力导数的方法。

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