A predictive control strategy for a single-phase AC-AC converter
This paper presents a finite control set model predictive current control strategy with a prediction horizon of one sampling time to control the single-phase matrix converter. The proposed current control strategy is based on a prediction calculation to select the switching states of the converter....
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2016
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| Online Access: | https://eprints.nottingham.ac.uk/37475/ |
| _version_ | 1848795467196923904 |
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| author | Rivera, Marco Rojas, S. Wheeler, Patrick Rodriguez, J. |
| author_facet | Rivera, Marco Rojas, S. Wheeler, Patrick Rodriguez, J. |
| author_sort | Rivera, Marco |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper presents a finite control set model predictive current control strategy with a prediction horizon of one sampling time to control the single-phase matrix converter. The proposed current control strategy is based on a prediction calculation to select the switching states of the converter. By using a predictive cost function, the optimal switching state to be applied to the next sampling time is selected. This is done in order to obtain a good tracking of the load currents to their respective references. The feasibility of the proposed strategy is verified by simulation and experimental results, which show good dynamic and stationary performance. |
| first_indexed | 2025-11-14T19:32:33Z |
| format | Conference or Workshop Item |
| id | nottingham-37475 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:32:33Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-374752020-05-04T17:36:46Z https://eprints.nottingham.ac.uk/37475/ A predictive control strategy for a single-phase AC-AC converter Rivera, Marco Rojas, S. Wheeler, Patrick Rodriguez, J. This paper presents a finite control set model predictive current control strategy with a prediction horizon of one sampling time to control the single-phase matrix converter. The proposed current control strategy is based on a prediction calculation to select the switching states of the converter. By using a predictive cost function, the optimal switching state to be applied to the next sampling time is selected. This is done in order to obtain a good tracking of the load currents to their respective references. The feasibility of the proposed strategy is verified by simulation and experimental results, which show good dynamic and stationary performance. 2016-02-17 Conference or Workshop Item PeerReviewed Rivera, Marco, Rojas, S., Wheeler, Patrick and Rodriguez, J. (2016) A predictive control strategy for a single-phase AC-AC converter. In: 7th Power Electronics, Drive Systems and Technologies Conference (PEDSTC 2016), 16-18 Feb 2016, Tehran, Iran. Matrix converters Load modeling Switches Cost function Predictive control Topology Mathematical model http://ieeexplore.ieee.org/document/7556929/ |
| spellingShingle | Matrix converters Load modeling Switches Cost function Predictive control Topology Mathematical model Rivera, Marco Rojas, S. Wheeler, Patrick Rodriguez, J. A predictive control strategy for a single-phase AC-AC converter |
| title | A predictive control strategy for a single-phase AC-AC converter |
| title_full | A predictive control strategy for a single-phase AC-AC converter |
| title_fullStr | A predictive control strategy for a single-phase AC-AC converter |
| title_full_unstemmed | A predictive control strategy for a single-phase AC-AC converter |
| title_short | A predictive control strategy for a single-phase AC-AC converter |
| title_sort | predictive control strategy for a single-phase ac-ac converter |
| topic | Matrix converters Load modeling Switches Cost function Predictive control Topology Mathematical model |
| url | https://eprints.nottingham.ac.uk/37475/ https://eprints.nottingham.ac.uk/37475/ |