Integral Backstepping Controller Combined with High Gain Observer for the Optimization of Grid-Connected Doubly-Fed Induction Generator

被引：0

作者：

Adekanle, Oluwaseun ^{[1
]}

Guisser, M. ^{[1
]}

Abdelmounim, E. ^{[1
]}

Aboulfatah, M. ^{[1
]}

机构：

[1] Fac Sci & Technol, Lab Signal Anal & Informat Proc, Settat, Morocco

来源：

2017 INTERNATIONAL CONFERENCE ON WIRELESS TECHNOLOGIES, EMBEDDED AND INTELLIGENT SYSTEMS (WITS) | 2017年

关键词：

Doubly-Fed Induction Generator; Field Orientation Control; High Gain Observer; Integral Backstepping Control;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, modelling and control of a grid connected 660KW Doubly-Fed Induction Generator wind turbine is presented. Stator flux rotational transformation is used to realize active-reactive power decoupling to enable independent control of active and reactive power. The recursive Integral Backstepping technique is used to control generator speed to its optimum value and to obtain unity power factor. The controller is combined with High Gain Observer to estimate the mechanical torque of the machine. The most important advantage of this new combination of High Gain Observer and the Integral Backstepping controller is the annulation of static error that may occur due to modelling incertitude, parameter variation or estimation error. Simulation results under Matlab/Simulink show the robustness of this control technique in presence of parameter variation.

引用

页数：7

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