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Neuro Fuzzy Gain Scheduler for Maximum Power Tracking of Wind Driven DFIG

G. Siva Kumar*, A. Lakshmi Devi**

*-** S. V. University College of Engineering, Tirupati, Andhra Pradesh, India.

Periodicity:October - December'2019
DOI : https://doi.org/10.26634/jee.13.2.15790

Abstract

In this paper, a new control strategy to capture most appropriate power from the wind system is presented with the help of Closed Loop Current Control (CLCC) and rotor speed regulation of Doubly Fed Induction Generator (DFIG). Firstly, wind turbine characteristics and reliable power curve are presented. Complex power decoupling control is achieved from the principle of rotor oriented field control. To maximize the power generation of a wind-driven DFIG, New control method is proposed considering the effect of saturation in both main and leakage flux paths. This method can be achieved by applying a vector control techniques with a neuro-fuzzy gain scheduler. The overall DFIG system performance using the proposed neuro-fuzzy gain tuner is compared with the conventional PI controllers.

Keywords

DFIG, Vector Control , gain tuner, neuro fuzzy

How to Cite this Article?

Kumar, G. S., & Devi, A. L. (2019). Neuro Fuzzy Gain Scheduler for Maximum Power Tracking of Wind Driven DFIGi-manager’s Journal on Electrical Engineering, 13(2), 33-39. https://doi.org/10.26634/jee.13.2.15790

References

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