Open AccessInvestigation of electric generator robust algorithm under measurement noises
Author(s) -
Igor B. Furtat,
Artem Nekhoroshikh
Publication year - 2018
Publication title -
cybernetics and physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 8
eISSN - 2226-4116
pISSN - 2223-7038
DOI - 10.35470/2226-4116-2018-7-4-204-209
Subject(s) - control theory (sociology) , parametric statistics , generator (circuit theory) , rotor (electric) , nonlinear system , algorithm , computer science , robust control , coupling (piping) , noise (video) , engineering , control (management) , mathematics , physics , artificial intelligence , power (physics) , quantum mechanics , mechanical engineering , statistics , image (mathematics)
The paper considers the investigation of a novel robust control algorithm of an electric generator with unknown parameters under bounded disturbances and high-frequency measurement noises. It is assumed that only the load angle is available for measurement, but not the rotor speed. The electric generator model is described by a system of third-order nonlinear differential equations with algebraic coupling ones. The proposed algorithm consisting of static and dynamical terms is based on the separation of the filtering and estimating properties. Differently from existing results the proposed scheme provides the opportunity to control independently the quality of filtering and stabilization. Investigations show that the proposed algorithm attenuates parametric uncertainties and disturbances with accuracy that can be reduced by tuning algorithm parameters.