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

Rasool Heydari, Héctor A. Young, Zahra Rafiee, Freddy Flores-Bahamonde, Mehdi Savaghebi, José Rodríguez

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Abstrakt

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.
OriginalsprogEngelsk
TitelProceedings - IECON 2020 : 46th Annual Conference of the IEEE Industrial Electronics Society
ForlagIEEE
Publikationsdato18. nov. 2020
Sider3065-3070
ISBN (Trykt)978-1-7281-5415-2
ISBN (Elektronisk)978-1-7281-5414-5
DOI
StatusUdgivet - 18. nov. 2020
BegivenhedThe 46th Annual Conference of the IEEE Industrial Electronics Society
- Singapore, Singapore, Singapore
Varighed: 18. okt. 202021. okt. 2020

Konference

KonferenceThe 46th Annual Conference of the IEEE Industrial Electronics Society
LokationSingapore
LandSingapore
BySingapore
Periode18/10/202021/10/2020
NavnProceedings of the Annual Conference of the IEEE Industrial Electronics Society
ISSN1553-572X

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