Modeling, Validation, and Energy-Efficient Control of Six-Rotor Aircraft for Multi-Goal Inspection Missions
Faculty Mentor Name
Iacopo Gentillini and Ken Bordignon
Format Preference
Oral Presentation
Abstract
In multi-rotor, multi-goal, Unmanned Aerial System (UAS) applications, it is often necessary to minimize energy consumption. A preliminary step towards this goal is to create an accurate dynamic model of the system at hand. In this research, a dynamic model of a six-rotor was developed. In addition, experimental wind tunnel data was incorporated into the model to better simulate the six-rotor hardware available. This model was then incorporated into a path planning genetic algorithm to develop nearenergy- optimal paths for six-rotor, multi-goal missions. A realistic scenario was also analyzed.
Ignite Grant Award
Arizona Space Grant Award
Location
AC1-118
Start Date
4-10-2015 12:45 PM
End Date
4-10-2015 1:00 PM
Modeling, Validation, and Energy-Efficient Control of Six-Rotor Aircraft for Multi-Goal Inspection Missions
AC1-118
In multi-rotor, multi-goal, Unmanned Aerial System (UAS) applications, it is often necessary to minimize energy consumption. A preliminary step towards this goal is to create an accurate dynamic model of the system at hand. In this research, a dynamic model of a six-rotor was developed. In addition, experimental wind tunnel data was incorporated into the model to better simulate the six-rotor hardware available. This model was then incorporated into a path planning genetic algorithm to develop nearenergy- optimal paths for six-rotor, multi-goal missions. A realistic scenario was also analyzed.
Ignite Grant Award
Arizona Space Grant Award