Abstract
This work addresses the problem of trajectory planning and control for a team of drones, so that a vehicle that is following a target as part of a multi-vehicle formation flight can be safely replaced with minimum impact on the formation objectives. An optimal trajectory generation method is presented, which relies on formulating a nonlinear optimization problem with constraints imposed by the physical limitations of the vehicle, the formation, and the surrounding environment, including nonlinear constraints to enforce inter-vehicle collision avoidance and clear visibility of the target. An online planning and control strategy is also implemented through a Nonlinear Model Predictive Control problem, based on the dynamic model of the system, a quadratic objective function, and a set of constraints, that again include collision avoidance and clear visibility. The proposed algorithms are validated in software-in-the-loop simulations that include the autopilot software.
Original language | English |
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Pages (from-to) | 334-339 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 52 |
Issue number | 12 |
DOIs | |
Publication status | Published - Oct 2019 |
Event | 21st IFAC Symposium on Automatic Control in Aerospace, ACA 2019 - Cranfield, United Kingdom Duration: 27 Aug 2019 → 30 Aug 2019 |
Keywords
- Control
- Formation flying
- Guidance and navigation
- UAV dynamics