Model-Free Predictive Current Control of a Voltage Source Inverter based on Identification Algorithm

Rasool Heydari, Hector Young, Zahra Rafiee, Freddy Flores-Bahamonde, Mehdi Savaghebi, Jose Rodriguez

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The behavior of Model Predictive Control (MPC) is by principle affected by the quality of the model used for the controlled system. A parameter mismatch between the plant and the controller can affect drastically the performance of MPC. This paper presents a new strategy called model-free predictive control (MF-PC) to overcome these problems. In this approach, a recursive least squares algorithm is implemented to identify the parameters of an auto-regressive with exogenous input (ARX) model, using input and output measurements of the controlled system. The proposed method enables an accurate prediction of the controlled variables without requiring detailed knowledge about the physical system. Simulation results obtained for the current control of a two-level, three-phase voltage source inverter, demonstrate that the MF-PC is exceptionally robust against the parameter variations and the model uncertainties, compared to conventional finite-control-set MPC.

Idioma originalInglés
Título de la publicación alojadaProceedings - IECON 2020
Subtítulo de la publicación alojada46th Annual Conference of the IEEE Industrial Electronics Society
EditorialIEEE Computer Society
Páginas3065-3070
Número de páginas6
ISBN (versión digital)9781728154145
DOI
EstadoPublicada - 18 oct 2020
Evento46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapur
Duración: 19 oct 202021 oct 2020

Serie de la publicación

NombreIECON Proceedings (Industrial Electronics Conference)
Volumen2020-October

Conferencia

Conferencia46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
País/TerritorioSingapur
CiudadVirtual, Singapore
Período19/10/2021/10/20

Áreas temáticas de ASJC Scopus

  • Ingeniería de control y sistemas
  • Ingeniería eléctrica y electrónica

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