Model predictive control of a current source inverter together with its current source
"Over the past years a great amount of research has been done to interconnect different energy sources with the power grid or different types of loads. Current source inverters have proved to be a good option due to its high reliability, fault tolerant capabilities, quasi soft switching and the...
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| Formato: | Ponencias en Congresos acceptedVersion |
| Lenguaje: | Inglés |
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2022
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| Acceso en línea: | https://ri.itba.edu.ar/handle/123456789/3993 |
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I32-R138-123456789-39932022-12-07T14:13:41Z Model predictive control of a current source inverter together with its current source Cossutta, Pablo Rivera, Marco Valla, María Inés Angélico Engelhardt, Mathias Aguirre, Miguel Pablo SISTEMAS DE CONTROL CONMUTACION CONVERTIDORES DE POTENCIA CONTROL PREDICTIVO "Over the past years a great amount of research has been done to interconnect different energy sources with the power grid or different types of loads. Current source inverters have proved to be a good option due to its high reliability, fault tolerant capabilities, quasi soft switching and the use of lower capacitor values among others. Most of the current source inverters topologies have a current source as input, which could be implemented with a buck converter, and they are controlled with cascaded linear control (usually PI controller), rotating frame coordinate transformation and a modulation stage. In this paper a predictive control strategy of a current source inverter together with its associated current source is presented. This strategy allows to track not only the output voltages at the load but also the current source within a single controller. The control algorithm makes use of a discrete time model of the whole system so as to predict its future behaviour for each one of the available switching combinations. Each one of the predicted values are used to minimize a set of predefined control goals within a multiple term cost function that includes cost associated with the commutation frequency and the reference tracking. Simulation results show a good behaviour and fast dynamics with a low switching frequency of all the switches involved. These characteristics make the proposed controller a suitable option to use with high power inverters." 2022-11-11T19:09:36Z 2022-11-11T19:09:36Z 2016-10 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion https://ri.itba.edu.ar/handle/123456789/3993 en info:eu-repo/semantics/altIdentifier/doi/10.1109/IECON.2016.7793499 application/pdf |
| institution |
Instituto Tecnológico de Buenos Aires (ITBA) |
| institution_str |
I-32 |
| repository_str |
R-138 |
| collection |
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) |
| language |
Inglés |
| topic |
SISTEMAS DE CONTROL CONMUTACION CONVERTIDORES DE POTENCIA CONTROL PREDICTIVO |
| spellingShingle |
SISTEMAS DE CONTROL CONMUTACION CONVERTIDORES DE POTENCIA CONTROL PREDICTIVO Cossutta, Pablo Rivera, Marco Valla, María Inés Angélico Engelhardt, Mathias Aguirre, Miguel Pablo Model predictive control of a current source inverter together with its current source |
| topic_facet |
SISTEMAS DE CONTROL CONMUTACION CONVERTIDORES DE POTENCIA CONTROL PREDICTIVO |
| description |
"Over the past years a great amount of research has been done to interconnect different energy sources with the power grid or different types of loads. Current source inverters have proved to be a good option due to its high reliability, fault tolerant capabilities, quasi soft switching and the use of lower capacitor values among others. Most of the current source inverters topologies have a current source as input, which could be implemented with a buck converter, and they are controlled with cascaded linear control (usually PI controller), rotating frame coordinate transformation and a modulation stage. In this paper a predictive control strategy of a current source inverter together with its associated current source is presented. This strategy allows to track not only the output voltages at the load but also the current source within a single controller. The control algorithm makes use of a discrete time model of the whole system so as to predict its future behaviour for each one of the available switching combinations. Each one of the predicted values are used to minimize a set of predefined control goals within a multiple term cost function that includes cost associated with the commutation frequency and the reference tracking. Simulation results show a good behaviour and fast dynamics with a low switching frequency of all the switches involved. These characteristics make the proposed controller a suitable option to use with high power inverters." |
| format |
Ponencias en Congresos acceptedVersion |
| author |
Cossutta, Pablo Rivera, Marco Valla, María Inés Angélico Engelhardt, Mathias Aguirre, Miguel Pablo |
| author_facet |
Cossutta, Pablo Rivera, Marco Valla, María Inés Angélico Engelhardt, Mathias Aguirre, Miguel Pablo |
| author_sort |
Cossutta, Pablo |
| title |
Model predictive control of a current source inverter together with its current source |
| title_short |
Model predictive control of a current source inverter together with its current source |
| title_full |
Model predictive control of a current source inverter together with its current source |
| title_fullStr |
Model predictive control of a current source inverter together with its current source |
| title_full_unstemmed |
Model predictive control of a current source inverter together with its current source |
| title_sort |
model predictive control of a current source inverter together with its current source |
| publishDate |
2022 |
| url |
https://ri.itba.edu.ar/handle/123456789/3993 |
| work_keys_str_mv |
AT cossuttapablo modelpredictivecontrolofacurrentsourceinvertertogetherwithitscurrentsource AT riveramarco modelpredictivecontrolofacurrentsourceinvertertogetherwithitscurrentsource AT vallamariaines modelpredictivecontrolofacurrentsourceinvertertogetherwithitscurrentsource AT angelicoengelhardtmathias modelpredictivecontrolofacurrentsourceinvertertogetherwithitscurrentsource AT aguirremiguelpablo modelpredictivecontrolofacurrentsourceinvertertogetherwithitscurrentsource |
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1765661059572563968 |