Real-time optimization for kites

Sean Costello, Gregory Francois, Dominique Bonvin

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)64-69
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Publication statusPublished - 2013
Event5th IFAC International Workshop on Periodic Control Systems, PSYCO 2013 - Caen, France
Duration: 3 Jul 20135 Jul 2013


  • Kite dynamics
  • Kite power
  • Optimal control
  • Real-time optimization


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