Image credit: ACC 2019

ACC 2019 with 6 presentations on AWE

The 2019 American Control Conference (ACC), 10–12 July 2019 in Philadelphia, USA, includes a session Control of Airborne Wind Energy Systems.

Image credit: ACC 2019

ACC 2019 with 6 presentations on AWE

The 2019 American Control Conference (ACC), 10–12 July 2019 in Philadelphia, USA, includes a session Control of Airborne Wind Energy Systems.

The invited Session ThA07 will take place on Thursday, July 11, 9:30-11:30. More information can be retrieved from the website of the 2019 American Control Conference (ACC).

ThA07 Invited Session, Franklin 7
Control of Airborne Wind Energy Systems  
 
Chair: Vermillion, Christopher North Carolina State University
Co-Chair: Paiva, Luis Tiago University of Porto
Organizer: Fagiano, Lorenzo Politecnico Di Milano
Organizer: Vermillion, Christopher North Carolina State University
 
09:30-09:50, Paper ThA07.1
An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion (I)
Cobb, Mitchell The University of North Carolina at Charlotte
Barton, Kira University of Michigan, Ann Arbor
Fathy, Hosam K. Penn State University
Vermillion, Christopher North Carolina State University

 
09:50-10:10, Paper ThA07.2
A Path-Following Guidance Method for Airborne Wind Energy Systems with Large Domain of Attraction (I)
Silva, Gonçalo B. Vestas
Paiva, Luis Tiago University of Porto
Fontes, Fernando A. C. C. Universidade Do Porto

 
10:10-10:30, Paper ThA07.3
Control of Vertical Take Off, Dynamic Flight and Landing of Hybrid Drones for Airborne Wind Energy Systems (I)
Todeschini, Davide Politecnico Di Milano
Fagiano, Lorenzo Politecnico Di Milano
Micheli, Claudio Politecnico Di Milano
Cattano, Aldo Skypull SA

 
10:30-10:50, Paper ThA07.4
Flight Test Verification of a Rigid Wing Airborne Wind Energy System (I)
Williams, Paul Ampyx Power
Sieberling, Sören Delft University of Technology
Ruiterkamp, Richard Ampyx Power B.V

 
10:50-11:10, Paper ThA07.5
Locally Power-Optimal Nonlinear Model Predictive Control for Fixed-Wing Airborne Wind Energy (I)
Stastny, Thomas Swiss Federal Institute of Technology (ETH Zurich), Autonomous S
Ahbe, Eva Automatic Control Laboratory, ETH Zurich
Dangel, Manuel Autonmous Systems Lab
Siegwart, Roland EPFL

 
11:10-11:30, Paper ThA07.6
On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems (I)
Dunn, Laurel University of California, Berkeley
Vermillion, Christopher North Carolina State University
Chow, Fotini Katopodes University of California, Berkeley
Moura, Scott University of California, Berkeley
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Roland Schmehl
Associate Professor

Interested in multi-disciplinary research and computational fluid dynamics.

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