文档介绍：Energy Conversion and Management 44 (2003) 135–153
ate/enconman
Estimator based adaptive fuzzy logic control technique
for a wind turbine–generator system
Andrea Dadone, Lorenzo Dambrosio *
DIMeG, Sezione di hine ed Energetica, ico di Bari, Via Re David 200, 70125 Bari, Italy
Received 28 June 2001; accepted 26 November 2001
Abstract
The control of a wind power plant, operating as an isolated power source, is analyzed. The plant consists
of a wind turbine and a three phase synchronous electric generator, connected by means of a gear box. The
mathematical models of the wind turbine and of the electrical generator are indicated. The use of an es-
timator based adaptive fuzzy logic control technique to govern the system is proposed. The results of
a control test case are shown in order to demonstrate the reliability of the proposed control technique.
Ó 2002 Elsevier Science Ltd. All rights reserved.
Keywords: Wind turbine; Electric generator; Adaptive control; Fuzzy logic
1. Introduction
Wind power plants are generally used to convert wind energy into electrical energy. These
plants consist of a wind turbine and an electrical generator connected by means of a gear box. The
wind turbine converts wind ic energy into mechanical energy, which is transformed into
electrical energy by the electrical generator. These plants are controlled by an appropriate control
system.
The flow field about a wind turbine is unsteady and three dimensional. Mathematical models
for plex flows are available in the literature. They may be divided into momentum,
vortex and finite difference models. The momentum models rely on actuator surfaces to ap-
proximate wind turbine effects and subdivide the flow domain into a finite number of stream tubes
[1,2]. Vortex models simulate the wind turbine blades by means of bounded distributed vortices
* Corresponding author. Tel.: +39-80-5963406; fax: +39-80-5963411.
E-mail address: ******@ (L. Dambrosio).
0196-8904