DocumentCode :
1839882
Title :
Model predictive control of a Doubly Fed Induction Generator with an Indirect Matrix Converter
Author :
Rivera, M. ; Elizondo, J.L. ; Macías, M.E. ; Probst, O.M. ; Micheloud, O.M. ; Rodriguez, J. ; Rojas, C. ; Wilson, A.
Author_Institution :
Univ. Tec. Federico Santa Maria, Valparaíso, Chile
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
2959
Lastpage :
2965
Abstract :
A simple and intuitive Doubly Fed Induction Generator (DFIG) predictive rotor current control scheme is presented. Predictive control of an Indirect Matrix Converter (IMC) is combined with predictive rotor current control of a DFIG to achieve a very good dynamic response as the rotor currents smoothly follow the applied reference in a ±30% range of the generator nominal rpm. Simulation results are presented for constant torque and rotational speed, as well as for variable rotational speed corresponding to a 10 kW generator dynamic response. Derivation and conjunction of each model equations are also presented along with a delay error compensation strategy to counter the practical implementation issue implicit in discrete time control computation.
Keywords :
asynchronous generators; compensation; discrete time systems; electric current control; machine control; matrix convertors; predictive control; constant torque; delay error compensation strategy; discrete time control computation; doubly fed induction generator; indirect matrix converter; model predictive control; power 10 kW; rotational speed; rotor current control scheme; Equations; Mathematical model; Predictive control; Predictive models; Rotors; Stators; Switches; Doubly Fed Induction Generator (DFIG); Indirect Matrix Converter (IMC); Model Predictive Control (MPC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
ISSN :
1553-572X
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2010.5674942
Filename :
5674942
Link To Document :
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