Evolution of Neural Networks for Active Control of Tethered Airfoils

Furey, Allister and Harvey, Inman (2007) Evolution of Neural Networks for Active Control of Tethered Airfoils. In: Proceedings of European Conference on Artificial Life, 2007, Lisbon.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Allister Furey
Date Deposited: 06 Feb 2012 20:44
Last Modified: 13 Apr 2012 09:05
URI: http://sro.sussex.ac.uk/id/eprint/27834
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