| Proj No. | A1064-251 |
| Title | Multi-AUV Target Tracking Using Optimal Control |
| Summary | This project aims to develop an optimal control framework for multiple Autonomous Underwater Vehicles (AUVs) to collaboratively track a dynamic target in underwater environments. The primary goal is to enhance tracking accuracy and efficiency while minimizing energy consumption and communication constraints. An optimal control strategy based on model predictive control (MPC) can be designed to coordinate the AUVs' movements. The control algorithm will optimize trajectories in real-time, considering environmental disturbances, AUV dynamics, and target motion. The proposed solution will be validated through high-fidelity simulations using underwater environment models, including ocean currents and sensor noise. This project will contribute to advancements in underwater robotics and provide a foundation for real-world applications such as environmental monitoring and search-and-rescue operations. |
| Supervisor | Prof Su Rong (Loc:S1 > S1 B1B > S1 B1B 59, Ext: +65 67906042) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Centre for Advanced Robotics Technology Innovation (CARTIN) (Loc: S2.1-B3-01) |
| Single/Group: | Single |
| Area: | Intelligent Systems and Control Engineering |
| ISP/RI/SMP/SCP?: |