Multi-objective modulated Model Predictive Control for a multilevel solid state transformer
Finite Control Set Model Predictive Control (FCS-MPC) offers many advantages over more traditional control techniques, such as the ability to avoid cascaded control loops, easy inclusion of constraint and fast transient response of the control system. This control scheme has been recently applied to...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2015
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| Online Access: | https://eprints.nottingham.ac.uk/33125/ |
| _version_ | 1848794562921758720 |
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| author | Tarisciotti, Luca Zanchetta, Pericle Watson, Alan James Wheeler, Patrick Clare, Jon C. Bifaretti, Stefano |
| author_facet | Tarisciotti, Luca Zanchetta, Pericle Watson, Alan James Wheeler, Patrick Clare, Jon C. Bifaretti, Stefano |
| author_sort | Tarisciotti, Luca |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Finite Control Set Model Predictive Control (FCS-MPC) offers many advantages over more traditional control techniques, such as the ability to avoid cascaded control loops, easy inclusion of constraint and fast transient response of the control system. This control scheme has been recently applied to several power conversion systems, such as two, three or more level converters, Matrix converters, etc. Unfortunately, because of the lack of presence of a modulation strategy, this approach produces spread spectrum harmonics which are difficult to filter effectively. This may results in a degraded power quality when compared to more traditional control schemes. Furthermore, high switching frequencies may be needed, considering the limited number of switching states in the converter. This paper presents a novel multi-objective Modulated predictive control strategy, which preserves the desired characteristics of FCS-MPC but produces superior waveform quality. The proposed method is validated by experimental tests on a seven level Cascaded H-Bridge Back-To-Back converter and compared to a classic MPC scheme. |
| first_indexed | 2025-11-14T19:18:10Z |
| format | Article |
| id | nottingham-33125 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:18:10Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-331252020-05-04T17:16:58Z https://eprints.nottingham.ac.uk/33125/ Multi-objective modulated Model Predictive Control for a multilevel solid state transformer Tarisciotti, Luca Zanchetta, Pericle Watson, Alan James Wheeler, Patrick Clare, Jon C. Bifaretti, Stefano Finite Control Set Model Predictive Control (FCS-MPC) offers many advantages over more traditional control techniques, such as the ability to avoid cascaded control loops, easy inclusion of constraint and fast transient response of the control system. This control scheme has been recently applied to several power conversion systems, such as two, three or more level converters, Matrix converters, etc. Unfortunately, because of the lack of presence of a modulation strategy, this approach produces spread spectrum harmonics which are difficult to filter effectively. This may results in a degraded power quality when compared to more traditional control schemes. Furthermore, high switching frequencies may be needed, considering the limited number of switching states in the converter. This paper presents a novel multi-objective Modulated predictive control strategy, which preserves the desired characteristics of FCS-MPC but produces superior waveform quality. The proposed method is validated by experimental tests on a seven level Cascaded H-Bridge Back-To-Back converter and compared to a classic MPC scheme. Institute of Electrical and Electronics Engineers 2015-09-16 Article PeerReviewed Tarisciotti, Luca, Zanchetta, Pericle, Watson, Alan James, Wheeler, Patrick, Clare, Jon C. and Bifaretti, Stefano (2015) Multi-objective modulated Model Predictive Control for a multilevel solid state transformer. IEEE Transactions on Industry Applications, 51 (5). pp. 4051-4060. ISSN 0093-9994 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7101248 doi:10.1109/TIA.2015.2429113 doi:10.1109/TIA.2015.2429113 |
| spellingShingle | Tarisciotti, Luca Zanchetta, Pericle Watson, Alan James Wheeler, Patrick Clare, Jon C. Bifaretti, Stefano Multi-objective modulated Model Predictive Control for a multilevel solid state transformer |
| title | Multi-objective modulated Model Predictive Control
for a multilevel solid state transformer |
| title_full | Multi-objective modulated Model Predictive Control
for a multilevel solid state transformer |
| title_fullStr | Multi-objective modulated Model Predictive Control
for a multilevel solid state transformer |
| title_full_unstemmed | Multi-objective modulated Model Predictive Control
for a multilevel solid state transformer |
| title_short | Multi-objective modulated Model Predictive Control
for a multilevel solid state transformer |
| title_sort | multi-objective modulated model predictive control
for a multilevel solid state transformer |
| url | https://eprints.nottingham.ac.uk/33125/ https://eprints.nottingham.ac.uk/33125/ https://eprints.nottingham.ac.uk/33125/ |