Pursuit/Evasion of Fixed-wing Aircraft Through Model-Predictive Control
Wednesday, October 6, 2004
Building 3 Auditorium - 3:30 PM
(Refreshments at 3:00 PM)
Dr. Jonathan Sprinkle, will talk about Pursuit/Evasion of Fixed-wing Aircraft Through Model-Predictive Control. Unmanned Aerial Vehicles (UAVs) have shown themselves to be highly capable in intelligence gathering, as well as a possible future deployment platform for munitions. Currently UAVs are supervised or piloted remotely, meaning that their behavior is not autonomous throughout the flight. For uncontested missions this is a viable method; however, if confronted by an adversary, UAVs may be required to execute maneuvers faster than a remote pilot could perform them in order to evade being targeted. Here, I give a description of a non-linear model predictive controller in which evasive maneuvers in three dimensions are encoded for a fixed wing UAV for the purposes of this pursuit/evasion game. Results from actual flight are available for demo.
Dr. Jonathan Sprinkle is a postdoctoral researcher at the University of California, Berkeley since 2003. His research interests and experience are in systems control and engineering, through modeling and metamodeling.
IS&T Colloquium Committee Host: Mike Hinchey