The design of controllers for the multivariable robust servomechanism problem using parameter optimization methods

The problem of designing realistic multivariable controllers to solve the servomechanism problem is considered in this paper. Specifically, it is desired to find a controller for a plant to solve the robust servomechanism problem, so that closed-loop stability and asymptotic regulation occur, and al...

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Published inIEEE transactions on automatic control Vol. 26; no. 1; pp. 93 - 110
Main Authors Davison, E., Ferguson, I.
Format Journal Article
LanguageEnglish
Published IEEE 01.02.1981
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ISSN0018-9286
DOI10.1109/TAC.1981.1102558

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Abstract The problem of designing realistic multivariable controllers to solve the servomechanism problem is considered in this paper. Specifically, it is desired to find a controller for a plant to solve the robust servomechanism problem, so that closed-loop stability and asymptotic regulation occur, and also so that other desirable properties of the controlled system, such as fast response, low-interaction, integrity, tolerance to plant variations, etc., occur. The method of design is based on using state space methods via a two-stage process: 1) using theory, determine the existence of a solution and control structure required to solve the problem, and 2) using nonlinear programming methods, determine the unknown controller parameters so as to minimize a performance index for the system subject to certain constraint requirements. Numerous examples, varying from a single-input/single-output to a four-input/four-output system, are given to illustrate the design method, and the results obtained are compared with the results obtained by using other alternate design methods. In all cases, the controllers obtained have been highly competitive with controllers obtained by alternate design methods.
AbstractList The problem of designing realistic multivariable controllers to solve the servomechanism problem is considered in this paper. Specifically, it is desired to find a controller for a plant to solve the robust servomechanism problem, so that closed-loop stability and asymptotic regulation occur, and also so that other desirable properties of the controlled system, such as fast response, low-interaction, integrity, tolerance to plant variations, etc., occur. The method of design is based on using state space methods via a two-stage process: 1) using theory, determine the existence of a solution and control structure required to solve the problem, and 2) using nonlinear programming methods, determine the unknown controller parameters so as to minimize a performance index for the system subject to certain constraint requirements. Numerous examples, varying from a single-input/single-output to a four-input/four-output system, are given to illustrate the design method, and the results obtained are compared with the results obtained by using other alternate design methods. In all cases, the controllers obtained have been highly competitive with controllers obtained by alternate design methods.
The problem of designing realistic multivariable controllers to solve the servomechanism problem is considered in this paper. Specifically, it is desired to find a controller for a plant to solve the robust servomechanism problem, so that closed-loop stability and asymptotic regulation occur, and also so that other desirable properties of the controlled system, such as fast response, low interaction, integrity, tolerance to plant variations, etc., occur. The method of design is based on using state space methods via a two-stage process: (1) using theory, the determination of the existence of a solution and control structure required to solve the problem, and (2) using nonlinear programming methods, the determination of the unknown controller parameters so as to minimize a performance index for the system subject to certain constraint requirements. Numerous examples, varying from a single-input/single-output to four-input/four-output system, are given to illustrate the design method, and the results obtained are compared with the results obtained by using alternate design methods. In all cases, the controllers obtained have been highly competitive with controllers obtained by alternate design methods.
Author Davison, E.
Ferguson, I.
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Snippet The problem of designing realistic multivariable controllers to solve the servomechanism problem is considered in this paper. Specifically, it is desired to...
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SubjectTerms Asymptotic stability
Control systems
Design methodology
Nonlinear control systems
Optimization methods
Performance analysis
Robust control
Robust stability
Servomechanisms
State-space methods
Title The design of controllers for the multivariable robust servomechanism problem using parameter optimization methods
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