H∞ optimal control : general solution by interpolation and design with multiple objective functions

A new method for solving Hinfinity control problems is developed. The method makes use of the Youla parametrization to characterize the set of all stabilizing controllers K(s) in terms of a stable function Q(s). and also to transform the Hinfinity control problem into a model-matching problem with a...

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Main Author: Pokrud, Boonyarit
Published: University of Surrey 1989
Subjects:
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235319
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spelling ndltd-bl.uk-oai-ethos.bl.uk-2353192018-09-11T03:20:01ZH∞ optimal control : general solution by interpolation and design with multiple objective functionsPokrud, Boonyarit1989A new method for solving Hinfinity control problems is developed. The method makes use of the Youla parametrization to characterize the set of all stabilizing controllers K(s) in terms of a stable function Q(s). and also to transform the Hinfinity control problem into a model-matching problem with an objective function E(s) being linear in Q(s). The model-matching problem is then solved by using the interpolation results of Hung. In the general case (i.e. problems of the 3rd kind) closed-form state-space characterizations of optimal and suboptimal solutions for Q(s) and E(s) are given. Furthermore, the solutions generally only require to solve two standard algebraic Riccati equations of smaller size than the McMillan degree of the (generalized) plant. This has an advantage of alleviating the computation burden associated with the ?-iteration required for determining the attainable minimum of ||E(s)||[infinity]. The Hinfinity approach to feedback design with multiple objective functions is studied in this thesis. For a system with two objective functions T[i](s), (i = 1, 2) a design criterion of minimizing the function max (||T[1](s)||[infinity], ||T[2](s)||[infinity]) subject to internal stability of the closed-loop system is proposed. The problem is formulated as an Hinfinity control problem and an iterative algorithm for obtaining a solution is given. A numerical example is given to illustrate the effectiveness of the proposed design technique for tightly bounding and shaping the frequency responses of two objective functions. The application of Hinfinity feedback design techniques to the control of flexible structures is investigated. Experiments are conducted in order to evaluate the use of the Hinfinity approach to the control of flexible structures. An Hinfinity optimal controller is designed and implemented in a laboratory system to manoeuvre a cantilever flexible beam and simultaneously control its vibrations. The controller performance is then assessed. The results obtained are shown to be satisfactory and encouraging.629.8Control systems & control theoryUniversity of Surreyhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235319http://epubs.surrey.ac.uk/847911/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 629.8
Control systems & control theory
spellingShingle 629.8
Control systems & control theory
Pokrud, Boonyarit
H∞ optimal control : general solution by interpolation and design with multiple objective functions
description A new method for solving Hinfinity control problems is developed. The method makes use of the Youla parametrization to characterize the set of all stabilizing controllers K(s) in terms of a stable function Q(s). and also to transform the Hinfinity control problem into a model-matching problem with an objective function E(s) being linear in Q(s). The model-matching problem is then solved by using the interpolation results of Hung. In the general case (i.e. problems of the 3rd kind) closed-form state-space characterizations of optimal and suboptimal solutions for Q(s) and E(s) are given. Furthermore, the solutions generally only require to solve two standard algebraic Riccati equations of smaller size than the McMillan degree of the (generalized) plant. This has an advantage of alleviating the computation burden associated with the ?-iteration required for determining the attainable minimum of ||E(s)||[infinity]. The Hinfinity approach to feedback design with multiple objective functions is studied in this thesis. For a system with two objective functions T[i](s), (i = 1, 2) a design criterion of minimizing the function max (||T[1](s)||[infinity], ||T[2](s)||[infinity]) subject to internal stability of the closed-loop system is proposed. The problem is formulated as an Hinfinity control problem and an iterative algorithm for obtaining a solution is given. A numerical example is given to illustrate the effectiveness of the proposed design technique for tightly bounding and shaping the frequency responses of two objective functions. The application of Hinfinity feedback design techniques to the control of flexible structures is investigated. Experiments are conducted in order to evaluate the use of the Hinfinity approach to the control of flexible structures. An Hinfinity optimal controller is designed and implemented in a laboratory system to manoeuvre a cantilever flexible beam and simultaneously control its vibrations. The controller performance is then assessed. The results obtained are shown to be satisfactory and encouraging.
author Pokrud, Boonyarit
author_facet Pokrud, Boonyarit
author_sort Pokrud, Boonyarit
title H∞ optimal control : general solution by interpolation and design with multiple objective functions
title_short H∞ optimal control : general solution by interpolation and design with multiple objective functions
title_full H∞ optimal control : general solution by interpolation and design with multiple objective functions
title_fullStr H∞ optimal control : general solution by interpolation and design with multiple objective functions
title_full_unstemmed H∞ optimal control : general solution by interpolation and design with multiple objective functions
title_sort h∞ optimal control : general solution by interpolation and design with multiple objective functions
publisher University of Surrey
publishDate 1989
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235319
work_keys_str_mv AT pokrudboonyarit hoptimalcontrolgeneralsolutionbyinterpolationanddesignwithmultipleobjectivefunctions
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