Improved predictive current control by parameter estimation in grid connected inverter applications

Author

Baek, Yohan ; Lee, Kui-Jun ; Hyun, Dong-seok

Author_Institution

Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea

fYear

2009

fDate

17-20 May 2009

Firstpage

1535

Lastpage

1538

Abstract

An improved predictive current control through parameter estimation is presented. The future value of grid current is predicted by a discrete-time model. The predicted value of grid current is evaluated by the quality function. The optimal switching state that minimizes the quality function is selected. The predictive current control is sensitive to variations in parameters. The effect of variations in parameter values on control system is compensated by parameter estimation. The parameter estimation is achieved by the least square method. The estimated parameters are applied to predictive model and it improves an accuracy of control system.

Keywords

electric current control; invertors; least squares approximations; parameter estimation; predictive control; discrete-time model; grid connected inverter; least square method; parameter estimation; predictive current control; quality function; Control system synthesis; Control systems; Current control; Filters; Inductance; Inverters; Least squares methods; Parameter estimation; Predictive models; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3556-2

Electronic_ISBN

978-1-4244-3557-9

Type

conf

DOI

10.1109/IPEMC.2009.5157632

Filename

5157632