Nonlinear Model Predictive Velocity Control of a VTOL Tiltwing UAV
| Autor: | Matthias Studiger, David Rohr, Roland Siegwart, Thomas Stastny, Nicholas R. J. Lawrance |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Control and Optimization Optimization problem Computer science optimization and optimal control Biomedical Engineering Mechanics and control dynamics hybrid UAV [Aerial Systems] 02 engineering and technology hybrid UAV Attitude control 020901 industrial engineering & automation 0203 mechanical engineering Flight envelope Artificial Intelligence Control theory 020301 aerospace & aeronautics Mechanical Engineering System identification Aerial Systems: Mechanics and control Aerodynamics Trajectory optimization Computer Science Applications Human-Computer Interaction Model predictive control Control and Systems Engineering Computer Vision and Pattern Recognition Envelope (motion) |
| Zdroj: | IEEE Robotics and Automation Letters, 6 (3) |
| ISSN: | 2377-3766 |
| DOI: | 10.3929/ethz-b-000493839 |
| Popis: | This letter presents the modeling, system identification and nonlinear model predictive control (NMPC) design for longitudinal, full envelope velocity control of a small tiltwing hybrid unmanned aerial vehicle (H-UAV). A first-principles based dynamics model is derived and identified from flight data. It captures important aerodynamic effects including propeller-wing interaction and stalled airfoils, but is still simple enough for on-board online trajectory optimization. Based on this model, a high-level NMPC is formulated which optimizes throttle, tilt-rate and pitch-angle setpoints in order to track longitudinal velocity trajectories. We propose and investigate different references suitable to regularize the optimization problem, including both offline generated trims as well as preceding NMPC solutions. In simulation, we compare the NMPC with a frequently reported dynamic inversion approach for H-UAV velocity control. Finally, the NMPC is validated in flight experiments through a series of transition maneuvers, demonstrating good tracking capabilities in the full flight envelope. IEEE Robotics and Automation Letters, 6 (3) ISSN:2377-3766 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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