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Augmented automatic choosing control of filter type for nonlinear systems and its application to power systems
Author(s) -
Takata Hitoshi,
Hachino Tomohiro,
Motoyama Seiji,
Yunokuchi Kazutomo,
Kawabata Kimihisa
Publication year - 2012
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.21765
Subject(s) - control theory (sociology) , nonlinear system , filter (signal processing) , controller (irrigation) , control engineering , nonlinear control , stability (learning theory) , automatic control , noise (video) , computer science , piecewise , control system , nonlinear filter , engineering , control (management) , filter design , mathematics , artificial intelligence , mathematical analysis , physics , electrical engineering , quantum mechanics , machine learning , agronomy , image (mathematics) , computer vision , biology
This paper deals with a feedback control using automatic choosing control and nonlinear filter for nonlinear systems with noise measurement. The state estimation of plants is carried out by the nonlinear filter. The control is designed by piecewise linear controls which are smoothly integrated into a single nonlinear feedback control by the automatic choosing functions. This is called an augmented automatic choosing control of filter type (AACCF) for nonlinear noisy measurement systems. This controller is applied to a transient stability problem of power systems, whose simulation results show that the new controller enables the expansion of the stable region well. © 2012 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.