Open AccessModeling and Nonlinear Control of a Wind Turbine System Based on a Permanent Magnet Synchronous Generator Connected to the Three-phase Network
Author(s) -
Yasser Boussairi,
A. Abouloifa,
I. Lachkar,
Abdellatif Hamdoun,
Chaouqi Aouadi
Publication year - 2018
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v9.i2.pp766-774
Subject(s) - control theory (sociology) , permanent magnet synchronous generator , backstepping , controller (irrigation) , induction generator , rectifier (neural networks) , computer science , nonlinear system , three phase , lyapunov function , nonlinear control , inverter , wind power , voltage , engineering , adaptive control , physics , control (management) , electrical engineering , agronomy , stochastic neural network , quantum mechanics , artificial intelligence , machine learning , recurrent neural network , artificial neural network , biology
This article presents nonlinear control of wind conversion chain connected to the grid based on a permanent magnet synchronous generator. The control objectives are threefold; i) forcing the generator speed to track a varying reference signal in order to extract the maximum power at different wind speed (MPPT); ii) regulating the rectifier output capacitor voltage; iii) reducing the harmonic and reactive currents injected in the grid. This means that the inverter output current must be sinusoidal and in phase with the AC supply voltage (PFC). To this end, a nonlinear state-feedback control is developed, based on the average nonlinear model of the whole controlled system. This control strategy involves backstepping approach, Lyapunov stability and other tools from theory of linear systems. The proposed state-feedback control strategy is tested by numerical simulation which shows that the developed controller reaches its objectives