Model predictive current control with duty ratio optimisation for a three-phase grid-tied inverter based on Runge-Kutta approximation
by Shahrouz Ebrahimpanah; Qihong Chen; Liyan Zhang
International Journal of Power Electronics (IJPELEC), Vol. 14, No. 2, 2021

Abstract: This paper proposes a model predictive current control for a three-phase inverter connected to the grid by using a duty cycle optimisation based on Runge-Kutta approximation. In this method, each of the seven possible switching states is checked to find one that minimises the cost function. It is a fact that the current ripples cannot decrease to a minimum value because there is only one voltage vector during one control period, thus the sampling frequency should be selected high for a sufficient performance. In order to find a solution to this problem, a duty ratio optimisation technique based on Runge-Kutta approximation is introduced by using a non-zero and a zero voltage vector. Moreover, the duration of the two voltage vectors are selected according to the current error minimisation. Simulation and experimental results verify that the proposed method obtains reduced current ripples and lower total harmonic distortions compared to the conventional method.

Online publication date: Mon, 16-Aug-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Power Electronics (IJPELEC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com