DocumentCode
2412877
Title
An optimal observer design for 2-inertia system via ILQ design method
Author
Tokunaga, A. ; Takami, H. ; Nakamura, M. ; Okamoto, T.
Author_Institution
Shibaura Inst. of Technol., Tokyo, Japan
fYear
2012
fDate
7-11 Oct. 2012
Firstpage
1
Lastpage
8
Abstract
This paper presents a novel optimal observer for speed control in 2-inertia dynamic system such as a large scale rolling mill, coupled with flexible shaft which has resonant torsional oscillation. For suppressing oscillation and reducing disturbance load torque, we introduce a full-order observer with concept of Kalman filter on a basis of inverse linear quadratic (ILQ) design method, including disturbance observer. In this paper, the ILQ design method improved by polynomial pole assignment gives an analytical optimal gain, and makes the errors of outputs converge to zero in steady-state. The proposed observer enables to suppress vibration and to control at high precise speed control in the 2-inertia system in spite of the quick speed response.
Keywords
Kalman filters; angular velocity control; electric motors; linear quadratic control; machine control; observers; pole assignment; polynomials; power filters; 2-inertia dynamic system; ILQ design method; Kalman filter; disturbance load torque reduction; flexible shaft; full-order observer; inverse linear quadratic design; large scale rolling mill; motor; optimal observer design; oscillation suppression; polynomial pole assignment; resonant torsional oscillation; speed control; vibration suppression; Design methodology; Load modeling; Mathematical model; Observers; Torque control; Transfer functions; Velocity control; 2-inertia system; Disturbance observer; Full-order observer; ILQ design method; Optimal observer; State feedback control; Torsional system;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Society Annual Meeting (IAS), 2012 IEEE
Conference_Location
Las Vegas, NV
ISSN
0197-2618
Print_ISBN
978-1-4673-0330-9
Electronic_ISBN
0197-2618
Type
conf
DOI
10.1109/IAS.2012.6374005
Filename
6374005
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