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.
| Original language | English |
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| Article number | 501 |
| Book series | Renewable Energy & Power Quality Journal |
| Volume | 15 |
| Pages (from-to) | 876-881 |
| Number of pages | 6 |
| ISSN | 2172-038X |
| DOIs | |
| Publication status | Published - Apr 2017 |
| Event | International Conference on Renewable Energies and Power Quality (ICREPQ’17) - Malaga, Spain Duration: 4 Apr 2017 → 6 Apr 2017 |
Conference
| Conference | International Conference on Renewable Energies and Power Quality (ICREPQ’17) |
|---|---|
| Country/Territory | Spain |
| City | Malaga |
| Period | 04/04/2017 → 06/04/2017 |
Keywords
- Nonlinear Control
- Kalman Filter
- Nonlinear observer
- Modular Multilevel Converter