%0 Journal Article
%@ 1049-8923
%A Fagiano, Lorenzo
%A Milanese, Mario
%A Piga, Dario
%D 2012
%F eprints:2469
%I Wiley-Blackwell
%J International Journal of Robust and Nonlinear Control 
%K wind energy, high-altitude wind energy, nonlinear model predictive control, optimization
%N 18
%P 2055-2083
%T Optimization of airborne wind energy generators
%U http://eprints.imtlucca.it/2469/
%V 22
%X This paper presents novel results related to an innovative airborne wind energy technology, named Kitenergy, for the conversion of high-altitude wind energy into electricity. The research activities carried out in the last five years, including theoretical analyses, numerical simulations, and experimental tests, indicate that Kitenergy could bring forth a revolution in wind energy generation, providing renewable energy in large quantities at a lower cost than fossil energy. This work investigates three important theoretical aspects: the evaluation of the performance achieved by the employed control law, the optimization of the generator operating cycle, and the possibility to generate continuously a constant and maximal power output. These issues are tackled through the combined use of modeling, control, and optimization methods that result to be key technologies for a significant breakthrough in renewable energy generation.