Augmented Automatic Choosing Control of Modified Filter Type for Nonlinear Noisy Measurement Systems

This paper is concerned with single nonlinear feedback control for nonlinear systems with noisy measurement. A given nonlinear system is linearized piecewise to design the linear optimal controllers, which are then smoothly united into a single nonlinear feedback controller by an automatic choosing...

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Bibliographic Details
Published inJournal of Signal Processing Vol. 16; no. 6; pp. 563 - 569
Main Authors Takata, Hitoshi, Hachino, Tomohiro, Hino, Yoshiomi, Yunokuchi, Kazutomo, Miyajima, Hiromi, Komatsu, Kazuo
Format Journal Article
LanguageEnglish
Published Tokyo Research Institute of Signal Processing, Japan 2012
Japan Science and Technology Agency
Subjects
augmented automatic choosing control
modified nonlinear filter
nonlinear control
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Summary:This paper is concerned with single nonlinear feedback control for nonlinear systems with noisy measurement. A given nonlinear system is linearized piecewise to design the linear optimal controllers, which are then smoothly united into a single nonlinear feedback controller by an automatic choosing function. The state estimation is carried out with a modified nonlinear filter, which includes the 1st-and 2nd-order filters. This is called an augmented automatic choosing control of modified filter type (AACCMF). Simulation results show that the new controller improves the stability of electric power systems well.
ISSN:1342-6230
1880-1013
DOI:10.2299/jsp.16.563