Actas de congresos
Implementation Of The Direct Power Control Of A Doubly Fed Induction Generator By Using A Takagi-sugeno Neuro-fuzzy Inference System
Registro en:
9781479902248
Iecon Proceedings (industrial Electronics Conference). , v. , n. , p. 852 - 857, 2013.
10.1109/IECON.2013.6699245
2-s2.0-84893533024
Autor
Jacomini R.V.
Bim E.
Institución
Resumen
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. © 2013 IEEE.
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