Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model

Abstract

International audienceThe paper presents a nonlinear approach, using a two-mass model and a wind speed estimator, for variable-speed wind turbine (WT) control. The use of a two-mass model is motivated by the need to deal with flexible modes induced by the low-speed shaft stiffness. The main objective of the proposed controllers is the wind power capture optimization while limiting transient loads on the drive-train components. This paper starts by an adaptation of some existing control strategies. However, their performance are weak, as the dynamics aspects of the wind and aeroturbine are not taken into consideration. In order to bring some improvements, nonlinear static and dynamic state feedback controllers, with a wind speed estimator, are then proposed. Concerning the wind speed estimator, the idea behind this is to exploit the WT dynamics by itself as a measurement device. All these methods have been first tested and validated using an aeroelastic WT simulator. A comparative study between the proposed controllers is performed. The results show better performance for the nonlinear dynamic controller with estimator in comparison with the adapted existing methods

An adaptive control for a variable speed wind turbine using RBF neural network

“…This wind turbine has a nominal power rating of 600 kW and a hub height of 36 m. It is a 43 m diameter, two-bladed, teetered hub machine. This wind turbine was considered in [2] to study performance of the Nonlinear Dynamic State Feed-Back Control with Kalman estimation (NDSFCK). A first-order dynamic response is selected for the rotor speed tracking error:…”

“…A variable speed wind turbin e nonlinear control of the system was introduced by Boukhezzar and Siguerdidjane [2]. This controller is based on a nonlinear methodology and uses a special wind speed predictor.…”

“…The authors have proposed an algorithm which adjusts the generator The power coefficient depends on the actual wind turbine and p C is given as function of / R v ω and the pitch angle β . An explicit expression of this coefficient can be found in [2].…”

“…Considering a one degree of freedom approximation of the wind turbine motion as presented in figure 1, the mechanical equation writes [2] have proposed an algorithm which adjusts the generator torque output to its optimal value for any random wind speed input. In [6], an approach based on neural network was proposed.…”

Study on Modelling Standardization of Double-fed Wind Turbine and Its Application

“…Each type of wind turbine differs both in terms of topological structure and performance [4][5][6][7][8][9][10].…”