RT Journal Article
SR Electronic
A1 Malý, Vladimír
A1 Veselý, Martin
A1 Beneš, Peter M.
A1 Neuman, Petr
A1 Bukovský, Ivo
T1 Study of Closed-Loop Model Reference Adaptive Control of Smart MicroGrid with QNU and Recurrent Learning
JF Acta Mechanica Slovaca
YR 2017
VO 21
IS 4
SP 34
OP 39
DO 10.21496/ams.2017.034
UL https://www.actamechanica.sk/artkey/ams-201704-0007.php
AB An adaptive quadratic polynomial neural unit (QNU) controller for optimization of a conventional Smart Microgrid control loop is studied and proposed. The parameters associated with the studied grid plants are considered to be known in this study, with the fact that the load is unknown and time-variant. A sample-by-sample real-time recurrent learning algorithm of an additional QNU controller is derived, with its performance tested and discussed as a result of this paper.