Implementation and Flight Test Results of MILP-based UAV Guidance

@article{Schouwenaars2005ImplementationAF,
  title={Implementation and Flight Test Results of MILP-based UAV Guidance},
  author={T. Schouwenaars and M. Valenti and E. Feron and J. How},
  journal={2005 IEEE Aerospace Conference},
  year={2005},
  pages={1-13}
}
This paper discusses the implementation of a guidance system based on mixed integer linear programming (MILP) on a modified, autonomous T-33 aircraft equipped with Boeing's UCAV avionics package. A receding horizon MILP formulation is presented for safe, real-time trajectory generation in a partially-known, cluttered environment. Safety at all times is guaranteed by constraining the intermediate trajectories to terminate in a loiter pattern that does not intersect with any no-fly zones and can… Expand
47 Citations
UAV as a Reliable Wingman: A Flight Demonstration
  • 21
  • PDF
Lateral Control Implementation for an Unmanned Aerial Vehicle
  • 7
  • PDF
Multi-vehicle path planning for non-line of sight communication
  • 41
  • PDF
Fuel-Optimal Trajectory Generation for Persistent Contrail Mitigation
  • 14
Multivehicle path planning for nonline-of-sight communication
  • 23
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 19 REFERENCES
Receding horizon path planning with implicit safety guarantees
  • 186
  • PDF
Receding horizon control of autonomous aerial vehicles
  • 288
Aircraft trajectory planning with collision avoidance using mixed integer linear programming
  • A. Richards, J. How
  • Engineering
  • Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)
  • 2002
  • 709
  • PDF
Mixed integer programming for multi-vehicle path planning
  • 472
  • PDF
Closed-loop control for joint air operations
  • 29
Control of systems integrating logic, dynamics, and constraints
  • 2,725
  • PDF
...
1
2
...