Model-Based Predictive Rotor Current Control Strategy for Indirect Power Control of a DFIM Driven by an Indirect Matrix Converter

This paper presents a new control strategy using model-based predictive current control (MB-PCC) for a doubly fed induction machine (DFIM) driven by an indirect matrix converter (IMC). This strategy proposes the control of rotor currents, whose references are calculated from active and reactive stat...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2021-06, Vol.36 (2), p.1510-1516
Main Authors: Olloqui, Alejandro, Elizondo, Jose L., Rivera, Marco, Macias, Manuel E., Micheloud, Osvaldo M., Pena, Ruben, Wheeler, Patrick
Format: Article
Language:English
Subjects:
AC/AC power conversion
Active control
doubly fed induction machine (DFIM)
Dynamic models
indirect matrix converter (IMC)
Induction motors
Matrix converters
model-based predictive control (MBPC)
Power control
Predictive control
Predictive models
Reactive power
Rotors
Stators
Switches
Synchronism
Synchronization
Voltage control
wind energy conversion systems (WECS)
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Summary:This paper presents a new control strategy using model-based predictive current control (MB-PCC) for a doubly fed induction machine (DFIM) driven by an indirect matrix converter (IMC). This strategy proposes the control of rotor currents, whose references are calculated from active and reactive stator power set points and the dynamic model of the DFIM. The control strategy works well in the four P-Q operating regions of the DFIM. The grid synchronization process is carried out by setting the P-Q power set points to zero. The results include the DFIM synchronization procedure as well as the active and reactive power control at variable shaft speed to validate the feasibility of the proposed strategy.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2020.3038471