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Nonlinear integral backstepping control of wind energy conversion system based on a Double-Fed Induction Generator

100%

Doumi M. , Aissaoui A. G. , Tahour A. , Abid M. , Tahir K.

Przegląd Elektrotechniczny

2016

tom R. 92, nr 3

130--135

In this paper, a decoupling control strategy has been applied to control the active and reactive powers generated by a Double Feed Induction Generator (DFIG). We propose a robust nonlinear control based on Backstepping with integral actions in order to control the power of the wind turbine transmitted to the grid and to make the wind turbine adaptable to different constraints. The proposed control laws are derived from the Lyapunov approach which is well suited for this nonlinear system. Furthermore, the proposed integral backstepping control is compared with the classical backstepping controller. The results obtained by simulation prove the effectiveness of the control strategies in terms of decoupling, robustness and dynamic performance for different operating conditions.

W artykule opisano strategię sterowania sprzęgania do kontroli mocy czynnej i biernej wytwarzanej przez generator DFIG. Wykorzystano metodę Lapunowa do kontroli turbiny wiatrowej dołączonej do sieci.

Indirect adaptive neural controller of nonlinear systems using auto-tuning neuron

84%

Chang W.-D. , Hwang R.-C. , Hsieh J.-G.

Control and Cybernetics

2003

tom Vol. 32, no 2

313-327

In this paper, a novel indirect adaptive neural controller using only two auto-tuning neurons is developed for a class of nonlinear systems. Unlike traditional multi-layered neural controllers, the structure of the proposed controller is very simple and practicable. There are three adjustable parameters in each auto-tuning neuron. Two such auto-tuning neurons used in our proposed indirect adaptive controller are used to track on-line the desired signal. The adaptation law for adjusting these parameters is developed based on the Lyapunov approach. Moreover, the stability of the overall closed-loop system can be analyzed and guaranteed by introducing the additional supervisory controller and the technique of modified adaptation law with projection. Finally, the tracking control of the inverted pendulum system is presented to illustrate the proposed method.