Tropical cyclone tracking for autonomous underwater vehicles based on forecast path correction model

Abstract

To meet the demand for unmanned observation of tropical cyclones and to improve the tracking efficiency of multiple autonomous underwater vehicles (Multi-AUV), a forecast path correction model is proposed in this paper. Four types of points, which are mainly treated as model computational objects, are defined for abstracting the specific tropical cyclone (TC) tracking process. Necessary methodologies and a simplified model are harnessed and applied to Multi-AUV, facilitating the determination of points essential for solving the computations of the model. A correction algorithm is designed, serving as a guide for the tracking trajectory of Multi-AUV while concurrently ameliorating the errors inherent in conventional TC forecast data generation. The algorithm is proved to be effective. Finally, a simulation process is constructed to verify the effectiveness of the model, and the results conform well to the theory. This model furnishes a comprehensive blueprint for the realization of unmanned real-time observation of TCs.