Modulated predictive control for indirect matrix converter
Finite State Model Predictive Control (MPC) has been recently applied to several converter topologies as it can provide many advantages over other MPC techniques. The advantages of MPC include fast dynamics, multi-target control capability and relatively easy implementation on digital control platfo...
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IEEE
2018
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| Online Access: | https://eprints.nottingham.ac.uk/44085/ |
| _version_ | 1848796834166734848 |
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| author | Tarisciotti, Luca Lei, Jiaxing Formentini, Andrea Trentin, Andrew Zanchetta, Pericle Wheeler, Patrick Rivera, Marco |
| author_facet | Tarisciotti, Luca Lei, Jiaxing Formentini, Andrea Trentin, Andrew Zanchetta, Pericle Wheeler, Patrick Rivera, Marco |
| author_sort | Tarisciotti, Luca |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Finite State Model Predictive Control (MPC) has been recently applied to several converter topologies as it can provide many advantages over other MPC techniques. The advantages of MPC include fast dynamics, multi-target control capability and relatively easy implementation on digital control platforms. However, its inherent variable switching frequency and lower steady state waveform quality, with respect to standard control which includes an appropriate modulation technique, represent a limitation to its applicability. Modulated Model Predictive Control (M2PC) combines all the advantages of MPC with the fixed switching frequency characteristic of PWM algorithms. The work presented in this paper focuses on the Indirect Matrix Converter (IMC), where the tight coupling between rectifier stage and inverter stage has to be taken into account in the M2PC design. This paper proposes an M2PC solution, suitable for IMC, with a switching pattern which emulates the desired waveform quality features of Space Vector Modulation (SVM) for matrix converters. The switching sequences of the rectifier stage and inverter stage are rearranged in order to always achieve zero-current switching on the rectifier stage, thus simplifying the current commutation strategy. |
| first_indexed | 2025-11-14T19:54:16Z |
| format | Article |
| id | nottingham-44085 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:54:16Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-440852020-05-04T19:52:01Z https://eprints.nottingham.ac.uk/44085/ Modulated predictive control for indirect matrix converter Tarisciotti, Luca Lei, Jiaxing Formentini, Andrea Trentin, Andrew Zanchetta, Pericle Wheeler, Patrick Rivera, Marco Finite State Model Predictive Control (MPC) has been recently applied to several converter topologies as it can provide many advantages over other MPC techniques. The advantages of MPC include fast dynamics, multi-target control capability and relatively easy implementation on digital control platforms. However, its inherent variable switching frequency and lower steady state waveform quality, with respect to standard control which includes an appropriate modulation technique, represent a limitation to its applicability. Modulated Model Predictive Control (M2PC) combines all the advantages of MPC with the fixed switching frequency characteristic of PWM algorithms. The work presented in this paper focuses on the Indirect Matrix Converter (IMC), where the tight coupling between rectifier stage and inverter stage has to be taken into account in the M2PC design. This paper proposes an M2PC solution, suitable for IMC, with a switching pattern which emulates the desired waveform quality features of Space Vector Modulation (SVM) for matrix converters. The switching sequences of the rectifier stage and inverter stage are rearranged in order to always achieve zero-current switching on the rectifier stage, thus simplifying the current commutation strategy. IEEE 2018-04 Article PeerReviewed Tarisciotti, Luca, Lei, Jiaxing, Formentini, Andrea, Trentin, Andrew, Zanchetta, Pericle, Wheeler, Patrick and Rivera, Marco (2018) Modulated predictive control for indirect matrix converter. IEEE Transactions on Industry Applications . ISSN 1939-9367 Indirect Matrix Converter (IMC) Modulated Model Predictive Control (M2PC) Predictive Control AC-AC power conversion http://ieeexplore.ieee.org/document/7914624/ doi:10.1109/TIA.2017.2699666 doi:10.1109/TIA.2017.2699666 |
| spellingShingle | Indirect Matrix Converter (IMC) Modulated Model Predictive Control (M2PC) Predictive Control AC-AC power conversion Tarisciotti, Luca Lei, Jiaxing Formentini, Andrea Trentin, Andrew Zanchetta, Pericle Wheeler, Patrick Rivera, Marco Modulated predictive control for indirect matrix converter |
| title | Modulated predictive control for indirect matrix converter |
| title_full | Modulated predictive control for indirect matrix converter |
| title_fullStr | Modulated predictive control for indirect matrix converter |
| title_full_unstemmed | Modulated predictive control for indirect matrix converter |
| title_short | Modulated predictive control for indirect matrix converter |
| title_sort | modulated predictive control for indirect matrix converter |
| topic | Indirect Matrix Converter (IMC) Modulated Model Predictive Control (M2PC) Predictive Control AC-AC power conversion |
| url | https://eprints.nottingham.ac.uk/44085/ https://eprints.nottingham.ac.uk/44085/ https://eprints.nottingham.ac.uk/44085/ |