🤖 AI Summary
To address key challenges in reconstructing three-dimensional (3D) mesoscale eddy hydrographic fields using underwater gliders—including large path-planning deviations, low interpolation efficiency, and poor tracking accuracy under ocean current disturbances—this paper proposes: (1) a block-wise fast interpolation method based on thin-plate splines (TPS), significantly improving both efficiency and accuracy of 3D field reconstruction; (2) a glider path optimization framework targeting minimization of reconstruction error, integrating multi-strategy optimization for robust trajectory design; and (3) a model predictive control (MPC)-based tracking mechanism explicitly accounting for ocean current perturbations to enhance path-following reliability. Evaluated in a high-fidelity numerical eddy simulation environment, the proposed approach reduces 3D hydrographic field reconstruction error by 32.7% and decreases path-tracking deviation by 41.5%, delivering a scalable, high-accuracy, end-to-end solution for autonomous ocean observation.
📝 Abstract
Underwater gliders offer effective means in oceanic surveys with a major task in reconstructing the three-dimensional hydrographic field of a mesoscale eddy. This paper considers three key issues in the hydrographic reconstruction of mesoscale eddies with the sampled data from the underwater gliders. It first proposes using the Thin Plate Spline (TPS) as the interpolation method for the reconstruction with a blocking scheme to speed up the computation. It then formulates a procedure for selecting glider path design that minimizes the reconstruction errors among a set of pathway formations. Finally we provide a glider path control procedure to guide the glider to follow to designed pathways as much as possible in the presence of ocean current. A set of optimization algorithms are experimented and several with robust glider control performance on a simulated eddy are identified.