Real-Time Optimization for Kites

Over the past decade, a large number of academics and start-ups have devoted them- selves to developing kites, or airplanes on tethers, 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.


Published in:
Proceedings of the 5th IFAC-PSYCO Workshop, 64-69
Presented at:
5th IFAC International Workshop on Periodic Control Systems (PSYCO'2013), July 3-5 2013
Year:
2013
Keywords:
Laboratories:




 Record created 2012-12-14, last modified 2018-01-28

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