Model based predictive control for three-phase grid connected converter

Joint Authors

Bin Husayn, Ikram Muawi
Nawar, Muhammad Wisam
Bellaaj, Najibah Murabit

Source

Journal of Electrical Systems

Issue

Vol. 11, Issue 4 (31 Dec. 2015), pp.463-475, 13 p.

Publisher

Piercing Star House

Publication Date

2015-12-31

Country of Publication

Algeria

No. of Pages

13

Main Subjects

Electronic engineering

Topics

Abstract EN

Model based Predictive Control (MPC) is an efficient control technique for the control of power converters.

It has several advantages for this kind of controls, such as robustness هء parameters variations andfast dynamic responses.

The MPC considers the model ofthe converter-based system هء forecast possible future behavior ٠/ the controlled variable.

It allows selecting the optimal voltage vector هء be applied so that a predefined costfunction is minimized.

This paperfocuses ٠٨ an MPC algorithm for three-phase grid connected converter.

Several simulation results (under Matlab-Simulink software environment tool) and experimental results (under developed prototyping platform) are presented in order to show the effectiveness ofthe considered control strategy.

American Psychological Association (APA)

Bin Husayn, Ikram Muawi& Nawar, Muhammad Wisam& Bellaaj, Najibah Murabit. 2015. Model based predictive control for three-phase grid connected converter. Journal of Electrical Systems،Vol. 11, no. 4, pp.463-475.
https://search.emarefa.net/detail/BIM-647441

Modern Language Association (MLA)

Bin Husayn, Ikram Muawi…[et al.]. Model based predictive control for three-phase grid connected converter. Journal of Electrical Systems Vol. 11, no. 4 (Dec. 2015), pp.463-475.
https://search.emarefa.net/detail/BIM-647441

American Medical Association (AMA)

Bin Husayn, Ikram Muawi& Nawar, Muhammad Wisam& Bellaaj, Najibah Murabit. Model based predictive control for three-phase grid connected converter. Journal of Electrical Systems. 2015. Vol. 11, no. 4, pp.463-475.
https://search.emarefa.net/detail/BIM-647441

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 474-475

Record ID

BIM-647441