EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Optimal 3D Time-Energy Trajectory Planning for AUVs using Ocean General Circulation Models

Sultan Albarakati, Ricardo Lima, thomas Theussl, Ibrahim Hoteit, and Omar Knio
Sultan Albarakati et al.
  • King Abdullah University, KAUST, Computer, Electrical, and Mathematical Sciences and Engineering Division, Saudi Arabia (

We develop a new approach for solving optimal time and energy-trajectory planning problems for Autonomous Underwater Vehicles (AUVs) in transient, 3D ocean currents. Realistic forecasts using an Ocean General Circulation Model (OGCM) are used for this purpose. The approach is based on decomposing the problem into a minimal time problem, followed by minimal energy subproblems. In both cases, a Non-Linear Programming (NLP) formulation is adopted. The methodology is first tested in idealized, steady, 2D settings, to verify the effectiveness of the method in addressing the multi-objective optimization problem. The scheme is then demonstrated for time-energy trajectory planning problems in the Gulf of Aden. In particular, the numerical experiments illustrate the capability of generating Pareto optimal solutions in a broad range of mission durations. In addition, the analysis also highlights how the methodology effectively exploits both the vertical structure of the current field, as well as its unsteadiness, namely, to minimize travel time and energy consumption.

How to cite: Albarakati, S., Lima, R., Theussl, T., Hoteit, I., and Knio, O.: Optimal 3D Time-Energy Trajectory Planning for AUVs using Ocean General Circulation Models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1591,, 2019