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Application of adaptive autopilot designs for an unmanned aerial vehicle
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Shin, Yoonghyun Motter, Mark A. Calise, Anthony J. |
| Copyright Year | 2005 |
| Description | This paper summarizes the application of two adaptive approaches to autopilot design, and presents an evaluation and comparison of the two approaches in simulation for an unmanned aerial vehicle. One approach employs two-stage dynamic inversion and the other employs feedback dynamic inversions based on a command augmentation system. Both are augmented with neural network based adaptive elements. The approaches permit adaptation to both parametric uncertainty and unmodeled dynamics, and incorporate a method that permits adaptation during periods of control saturation. Simulation results for an FQM-117B radio controlled miniature aerial vehicle are presented to illustrate the performance of the neural network based adaptation. |
| File Size | 535039 |
| Page Count | 21 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20050232784 |
| Archival Resource Key | ark:/13960/t6935sv3b |
| Language | English |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Subject Keyword | Aeronautics (general) Pilotless Aircraft Atmospheric Turbulence Neural Nets Simulation Control Systems Design White Noise Automatic Pilots Miniaturization Angle of Attack Adaptive Control Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
