On-line estimation of the parameters of the windmill power coefficient

Wind turbines are often controlled to harvest the maximum power from wind, which corresponds operation at top of bell-shaped coefficient graph. Such a mode may be achieved implementing an extremum seeking data-based strategy, is invasive technique that requires injection harmonic disturbances. Another approach based on knowledge analytic expression function, information usually unreliably provided by turbine manufacturer. In this paper we propose globally, exponentially convergent on-line estimator parameters entering into windmill function. This solution identification problem for nonlinear, nonlinearly parameterized, underexcited system. To best our have first challenging, practically important, problem.