DocumentCode
789312
Title
Control system synthesis using linear transformations
Author
Thiede, E.C. ; Stubberud, A.
Author_Institution
Hughes Aircraft Company, El Segundo, CA, USA
Volume
10
Issue
2
fYear
1965
fDate
4/1/1965 12:00:00 AM
Firstpage
172
Lastpage
177
Abstract
A new approach to the synthesis of linear multivariable control systems is presented. The main result demonstrates how a multivariable cross-coupled process within a closed loop may be transformed such that single-variable synthesis tools may be used to design the controller. Cross-coupled processes may be represented by a matrix equation. The new approach uses elementary transformations to diagonalize the polynomial matrix representing the open-loop process. This yields
uncoupled variables which describe the process. Closed-loop diagonalization is obtained by using a pro-multiplier matrix to relate the uncoupled variables to the physical variables of the process. This premultiplier matrix is a precontroller in the physical system. It allows synthesis to be carried out in the uncoupled coordinate system to get the physical coordinate system controller. The complete controller is designed using time or frequency single-variable synthesis techniques, and the uncoupled variables are handled one at a time during this phase. A second result follows from the main result. Disturbance inputs to the multivariable process are minimized just as they are in the single-variable case.
uncoupled variables which describe the process. Closed-loop diagonalization is obtained by using a pro-multiplier matrix to relate the uncoupled variables to the physical variables of the process. This premultiplier matrix is a precontroller in the physical system. It allows synthesis to be carried out in the uncoupled coordinate system to get the physical coordinate system controller. The complete controller is designed using time or frequency single-variable synthesis techniques, and the uncoupled variables are handled one at a time during this phase. A second result follows from the main result. Disturbance inputs to the multivariable process are minimized just as they are in the single-variable case.Keywords
Control system design; Linear systems; Control system analysis; Control system synthesis; Control systems; Equations; Frequency synthesizers; Helium; Mathematics; Open loop systems; Polynomials; Process control;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1965.1098115
Filename
1098115
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