DocumentCode
2564919
Title
Plant-model reduction for PID controller design
Author
Kondo, Hiroyuki ; Ochi, Yoshimasa
Author_Institution
Nat. Defense Acad., Yokosuka, Japan
fYear
2010
fDate
15-17 Dec. 2010
Firstpage
6201
Lastpage
6206
Abstract
A plant-order reduction method has been developed for PID controller design based on the integral-type optimal servo, which is a kind of the linear quadratic regulator (LQR). The order-reduction consists of two steps: The first step is to apply the balanced truncation to reduce the plant order to the second order. The second step is to adjust the plant parameters by the homotopy method to reduce the v-gap between the original plant and the reduced-order plant. The method can be applied to a plant that is not stable but stabilizable by static output feedback by replacing the plant with the stabilized plant. If the v-gap becomes sufficiently small, then the PID controller designed with the reduced-order plant model provides good control performance and desirable stability margins as the LQR provides.
Keywords
control system synthesis; feedback; industrial control; linear quadratic control; reduced order systems; stability; three-term control; PID controller design; balanced truncation; homotopy method; integral type optimal servo method; linear quadratic regulator; order reduction method; plant model reduction; static output feedback; v-gap reduction; Cost function; Design methodology; Eigenvalues and eigenfunctions; Gain; Numerical stability; Output feedback; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location
Atlanta, GA
ISSN
0743-1546
Print_ISBN
978-1-4244-7745-6
Type
conf
DOI
10.1109/CDC.2010.5717005
Filename
5717005
Link To Document