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Evolution of Neural Networks for Active Control of Tethered Airfoils

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posted on 2023-06-08, 07:36 authored by Allister Furey, Inman HarveyInman Harvey
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines, with greater efficiency and reduced costs. This study describes the use of evolutionary robotics techniques to build neurocontrollers that maximize energy recoverable from wind by kite control systems in simulation. From initially randomized starting conditions, neurocontrollers rapidly develop under evolutionary pressure to fly the kite in figure eight trajectories that have previously been shown to be an optimal path for power generation. Advantages of this approach are discussed and data is presented which demonstrates the robustness of trajectory control to environmental perturbation.

History

Publication status

  • Published

Publisher

Springer-Verlag

Pages

746.0

Presentation Type

  • paper

Event name

Proceedings of European Conference on Artificial Life, 2007

Event location

Lisbon

Event type

conference

ISBN

978-3-540-74912-7

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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