Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:A2L-A
Session:
Number:A2L-A2
Augmented Automatic Choosing Control using Extended Kalman Filter for Nonlinear Systems with Noisy Linear Measurement
Hitoshi Takata, Tomohiro Hachino, Kazuo Komatsu,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
This paper deals with a feedback control using automatic choosing functions and the filter-control design procedure for nonlinear systems with noisy linear measurement. A constant term which arises from linearization of a nonlinear equation is treated as a coefficient of a stable zero dynamics. A given nonlinear system is linearized piecewise so as to be able to design the linear optimal controllers with filter. By the automatic choosing functions, these controllers are smoothly united into a single nonlinear feedback controller, which is called an augmented automatic choosing control of filter type by using Extended Kalman filter. Simulation results show that the new controller enables to improve the stability of electric power systems well.