Abstract
Reliable guidance of fixed-wing Unmanned Aerial Vehicles (UAVs) is challenging, as their high maneuverability exposes them to several dynamical changes and parametric uncertainties. Reliability of state-of-the-art guidance methods is often at stake, as these methods heavily rely on precise UAV course dynamics, assumed in a decoupled first-order form with known time constant. To improve reliability of guidance for fixed-wing UAVs, this work proposes a novel vector field law that can handle uncertain course time constant and state-dependent uncertainty in the course dynamics arising from coupling. Stability is studied in the Lyapunov framework, while reliability of the proposed method is tested on a software-in-the loop UAV simulator. The simulations show that, in the presence of such uncertainty, the proposed method outperforms the standard vector field approaches.
Original language | English |
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Pages (from-to) | 9399-9404 |
Journal | IFAC-PapersOnline |
Volume | 53 (2020) |
Issue number | 2 |
DOIs | |
Publication status | Published - 2021 |
Event | 21st IFAC World Congress 2020 - Berlin, Germany Duration: 12 Jul 2020 → 17 Jul 2020 |
Keywords
- Fixed-wing Unmanned Aerial Vehicles
- Guidance navigation and control
- Reliable design
- Software-in-the loop UAV simulator
- Uncertain course dynamics