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Nonlinear Control Structure of Grid Connected
Modular Multilevel Converters
A. Hajizadeh, L.E.Norum, A.Ahadpour Shal
2017/04/25
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Abstract
This paper implements nonlinear control structure
based on Adaptive Fuzzy Sliding Mode (AFSM) Current Control and Unscented
Kalman Filter (UKF) to estimate the capacitor voltages from the measurement
of arm currents of Modular Multilevel Converter (MMC). UKF use nonlinear
unscented transforms in the prediction step in order to preserve the stochastic
characteristics of a nonlinear system. In order to design adaptive robust
control strategy and nonlinear observer, mathematical model of MMC using
rotating d-q theory has been used. Digital time-domain simulation studies
are carried out in the Matlab/Simulink environment to verify the performance
of the overall proposed control structure during different case studies.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 15) |
| Pages: 876-881 |
Date of Publication: 2017/04/25 |
| ISSN: 2172-038X |
Date of Current Version: |
|
REF: 501-17
|
Issue Date: April 2017 |
| DOI:10.24084/repqj15.501 |
Publisher: EA4EPQ |
Authors and affiliations
A. Hajizadeh(1), L.E.Norum(2), A.Ahadpour Shal(3)
1. Department of Energy Technology, Aalborg University. Campus of Esbjerg
(Denmark)
2. Department of Electric Power Engineering, Norwegian University of Science
and Technology, Trondheim, Norway
3. Faculty of Electrical Engineering and Information Technology, RWTH-Aachen
University, Germany
Key word
Nonlinear Control, Kalman Filter, Nonlinear observer,
Modular Multilevel Converter
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