English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This article improves the robustness of a finite control set (FCS)-model predictive controller (MPC) for grid-tied inverters and motor drives applications to plant parameter variations and noise, without reducing its bandwidth or affecting its excellent transient response to disturbances and reference commands. The proposed modification adds an observer to the MPC controller structure, which does not significantly increase the computational burden on the embedded controller. Traditionally, observers are employed to estimate unmeasured variables and cancel the effect of disturbances, but this article employs the observer to estimate a measured variable, the converter output current. This solution leverages the benefits of observers from linear controller theory in order to remove undesired components in the measured current and improve the robustness of the controller; hence it is a valuable solution for practicing power-electronic engineers and researchers in the field of grid-tied inverters and motor drives due to its simplicity compared to some advanced techniques often required in more complex MPC designs.

A Model Predictive Current Controller With Improved Robustness Against Measurement Noise and Plant Model Variations