Artículo
Model-Free Predictive Current Control of a Voltage Source Inverter
Date
2020-11Registration in:
IEEE Access, 2020
2169-3536
DOI: 10.1109/ACCESS.2020.3039050
Author
Rodriguez, J.
Heydari, R.
Rafiee, Z.
Young, H.
Flores-Bahamonde, F.
Shahparasti, M.
Institutions
Abstract
Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the MPC strategy is highly reliant on the accuracy of the inverter model used for the controlled system. Consequently, a parameter or model mismatch between the plant and the controller leads to a sub-optimal performance of MPC. In this paper, a new strategy called model-free predictive control (MF-PC) is proposed to improve such problems. The presented approach is based on a recursive least squares algorithm to identify the parameters of an auto-regressive with exogenous input (ARX) model. The proposed method provides an accurate prediction of the controlled variables without requiring detailed knowledge of the physical system. This new approach and is realized by employing a novel state space identification algorithm into the predictive control structure. The performance of the proposed model-free predictive control method is compared with conventional MPC. The simulation and experimental results show that the proposed method is totally robust against parameters and model changes compared with the conventional model based solutions.
Related items
Showing items related by title, author, creator and subject.
-
Sensitivity experiments on ocean temperature predictions with a thermodynamic climate model.
Adem, J.; Mendoza, V. -
Quality of STORM model predictions for a mid-latitude station
Araujo Pradere, Eduardo A.