Abstract
This paper discusses the application of a genetic algorithm (GA) to control system design for Modular Multilevel Converters (MMCs). In particular, genetic algorithm is used to compute the gains of a state-feedback controller for multi-input/multi-output (MIMO) plant model. This GA-optimized state-feedback controller is used to control both grid and circulating current of the MMC. This assures that the two currents' input-coupled dynamics are managed using a MIMO strategy. A detailed MATLAB®/Simulink® model of a three-phase MMC is further used to validate the proposed control technique. Different simulations show that the GA-optimized state-feedback controller outperforms the conventional cascaded control.
| Original language | English |
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| Book series | IFAC-PapersOnLine |
| Volume | 55 |
| Issue number | 9 |
| Pages (from-to) | 431-436 |
| Number of pages | 6 |
| ISSN | 1474-6670 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 11th IFAC Symposium on Control of Power and Energy Systems, CPES 2022 - Online, Serbia Duration: 21 Jun 2022 → 23 Jun 2022 |
Conference
| Conference | 11th IFAC Symposium on Control of Power and Energy Systems, CPES 2022 |
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| Country/Territory | Serbia |
| City | Online |
| Period | 21/06/2022 → 23/06/2022 |
Bibliographical note
Publisher Copyright:© 2022 Elsevier B.V.. All rights reserved.
Keywords
- cascaded control
- genetic algorithm
- modular multilevel converter
- state-feedback