Implementation of the direct power control of a doubly fed induction generator by using a Takagi-Sugeno neuro-fuzzy inference system

Author

Vani Jacomini, Rogerio ; Bim, Edson

Author_Institution

Sao Paulo Fed. Inst. of Educ., Sci. & Technol. (IFSP), Hortolandia, Brazil

fYear

2013

fDate

10-13 Nov. 2013

Firstpage

852

Lastpage

857

Abstract

A Takagi-Sugeno neuro-fuzzy inference system for direct power control of a doubly fed induction generator is presented in this paper. The control variables - d-axis and q-axis rotor voltages - are determined by a control system that consists of a neuro-fuzzy inference system and a first order Takagi-Sugeno fuzzy logic controller. To validate the proposed strategy, experimental tests are made for the DFIG operating speed is slightly less than the synchronous speed. The operation of the generator with abrupt and linear changes in stator power and under variable or constant speeds are tested.

Keywords

asynchronous generators; fuzzy control; reactive power control; rotors; Takagi Sugeno neurofuzzy inference system; control variables; d axis rotor voltages; direct power control; doubly fed induction generator; fuzzy logic controller; q axis rotor voltages; stator power; synchronous speed; Impedance matching; Switches; Takagi-Sugeno model; Constant converter switching frequency; Space vector modulation; Takagi-Sugeno fuzzy logic controller; direct power control; doubly fed induction generation; neuro-fuzzy inference system;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE

Conference_Location

Vienna

ISSN

1553-572X

Type

conf

DOI

10.1109/IECON.2013.6699245

Filename

6699245