Abstract | ||
---|---|---|
Over the past decade, a large number of academics and start-ups have devoted themselves to developing kites as a renewable energy source. Determining the trajectories the kite should follow is a modeling and optimization challenge. We present a dynamic model and analyse how uncertainty affects the resulting optimization problem. We show how measurements can be used to rapidly correct the model-based optimal trajectories in real time. This novel real-time optimization approach does not rely on intensive online computation. Rather, it uses knowledge of the structure of the optimal solution, which can be studied offline. |
Year | DOI | Venue |
---|---|---|
2013 | 10.3182/20130703-3-FR-4039.00004 | IFAC Proceedings Volumes |
Keywords | Field | DocType |
Kite Power,Optimal Control,Real-Time Optimization,Kite Dynamics. | Mathematical optimization,Renewable energy,Optimal control,Operations research,Kite,Online computation,Engineering,Optimization problem | Conference |
Volume | Issue | ISSN |
46 | 12 | 1474-6670 |
Citations | PageRank | References |
8 | 0.84 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sean Costello | 1 | 13 | 2.54 |
Gregory François | 2 | 17 | 3.70 |
Dominique Bonvin | 3 | 133 | 23.58 |