Estimation of Piecewise-Linearized Torque Coefficient and Moment of Inertia of Windmill using Genetic Algorithm

In this paper, an estimation method of both torque coefficient and moment of inertia of the windmill by using genetic algorithm is proposed. Generally, the torque coefficient is dependent on the shape of the windmill and is represented as a nonlinear function of the tip speed ratio. To simulate the nonlinearity, the torque coefficient is split into the m areas with respect to the tip speed ratio and is approximated by a piecewise linear equation in each area. The gains of the piecewise linear equation in each area and the moment of inertia are regarded as the gene and adjusted by the genetic algorithm so that the estimated windmill speed and acceleration correspond to the actual values. The results demonstrate the effective of the proposed scheme for estimation of the windmill parameters.