Extended Kalman Filter Identification for the Parameters of a Three-Blade Wind Turbine Dynamics

Abstract

Nowadays there are proposals and politics in several planet regions with targets of renewable sources adoption. In this context, wind energy presents an important source growing up in electrical energy generation, motivated by public politics and by technological maturation, being more competitive compared to conventional sources. One of actual problems in wind turbines design is parameters determination in structural calculus, which several times arise by experimental assumptions. This paper presents an application of Extended Kalman Filter (EKF) methodology for parameter identification in structural analysis of three-blade wind turbine, applying a nonlinear computational dynamical model from so-called field data.