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2 edition of Design of high-gain controllers for linear multivariable systems. found in the catalog.

Design of high-gain controllers for linear multivariable systems.

Ahmad Hemami

Design of high-gain controllers for linear multivariable systems.

by Ahmad Hemami

  • 130 Want to read
  • 29 Currently reading

Published by University of Salford in Salford .
Written in English


Edition Notes

PhD thesis, Mechanical Engineering.

SeriesD37970/81
ID Numbers
Open LibraryOL20406785M

This course uses computer-aided design methodologies for synthesis of multivariable feedback control systems. Topics covered include: performance and robustness trade-offs; model-based compensators; Q-parameterization; ill-posed optimization problems; dynamic augmentation; linear-quadratic optimization of controllers; H-infinity controller design; Mu-synthesis; model and compensator. In this research, the previous design procedure for single-variable dual-range linear controllers for highly nonlinear systems is extended to the multivariable case. The procedure is based on generating the sinusoidal input describing function models of the plant followed by selection of two of these models for optimization of the dual-range.

back control design for linear systems using the paradigms, theory, and tools of robust con-trol that have arisen during the past two decades. The book is aimed at graduate students and practicing engineers who have a basic knowledge of classical con-trol design and state-space con-trol theory for linear systems. A basic knowledge of matrix. Introduction Example (Two-tank liquid flow process). Consider the flow process of Fig. The incoming flow ˚1 and recycle flow ˚4 act as manipulable input variables to the system, and the outgoingflow ˚3 acts as a disturbance. The control objective is to keep the liquid levelsh1 and h2 between acceptable limits by applying feedback from measurements of these liquid File Size: KB.

Multivariable Control TABLE V.I Characteristics of multivariable control systems Single-loop characteristics that generally lead to good control performance in multivariable systems Characteristics unique to multivariable systems 1. Fast feedback processes (small 9 + x) 2. Feedback processes with a small fraction dead time (0/(0 + r)) and noFile Size: KB. DECOUPLING IN THE DESIGN AND SYNTHESIS OF MULTIVARIABLE CONTROL SYSTEMS By Peter L. Falb* and William A. Wolovich Electronics Research Center SUMMARY Necessary and sufficient conditions for the "decoupling" of an m-input, m-output time-invariant linear system using state variable feedback are Size: KB.


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Design of high-gain controllers for linear multivariable systems by Ahmad Hemami Download PDF EPUB FB2

Design of high-gain state-feedback controllers for linear multivariable systems Abstract: It is shown that recent results in the theory of entire eigen-structure assignment greatly facilitate the design of high-gain state-feedback controllers. The design of such controllers is reduced to the separate computation of well-defined subspaces Author: B.

Porter. This book focuses on methods that relate, in one form or another, to the “small-gain theorem”. It is aimed at readers who are interested in learning methods for the design of feedback laws for linear and nonlinear multivariable systems in the presence of model : Springer International Publishing.

The last part includes a large number of modern techniques that are useful to the systems design engineer, and also covers a broad spectrum of applicable advanced design methods, such as eigenvalue and eigenstructure assignments, high gain output feedback proportional plus integral controllers Format: Hardcover.

Design of linear multivariable continuous-time tracking systems incorporating high-gain erroractuated controllers. Int J Systems Sci, 10, ACKNOWLEDGEMENT This research was sponsored by the Air Force Flight Dynamics Laboratory, AFWAL/FIGL, Wright-Patterson AFB, United States Air Force, under Contract FCCited by: 2.

This book focuses on methods that relate, in one form or another, to the “small-gain theorem”. It is aimed at readers who are interested in learning methods for the design of feedback laws for linear and nonlinear multivariable systems in the presence of model uncertainties.

His main scientific areas of interest include methods of structural improvement of tracking system accuracy, theory of iterational control systems, design and analysis methods of multivariable linear and nonlinear control systems, dynamics and design of power systems, computer-aided control system design.

Abstract. This paper is concerned with the design of ‘Low-and-High-Gain’ feedback controllers in order to achieve an objective called perfect regulation (p.r.). Necessary and sufficient conditions for the existence of state feedback controllers that achieve p.r.

are derived for general linear multivariable time-invariant by: This chapter concerns the analysis and control system design of linear multivariable systems. The systems are represented in several different forms in state space.

Linear Multivariable Systems Emergence of State Space Approach A linear system with multiple-inputs and/or -outputs is called a linear multivariable system (or linear a MIMO system). The history of the emergence of.

Linear Multivariable Systems. Authors (view affiliations) W. Wolovich; state-space approach to multivariable control system analysis and design, as opposed to the classical, frequency domain approach, but also to draw analogies between the two approaches whenever and wherever possible.

an undergraduate course in classical control. of the theory of feedback control design for linear, finite-dimensional, time-invariant state space systems with inputs and outputs. One of the important themes of control is the design of controllers that, while achieving an internally stable closed system, make the influence of certain exogenous.

The goal of this course is to give graduate students and practicing engineers a thorough exposure to the state-of-the-art in multivariable control system design methodolgies. Emphasis will be placed on design/analysis tools and their use in solving real-world control problems. DESIGN OF LIMITED STATE FEEDBACK CONTROLLERS FOR LINEAR MULTIVARIABLE SYSTEMS A thesis presented for the degree of Doctor of Philosophy in Electrical Engineering in the University of Canterbury, Christchurch, New Zealand.

by SAN B.E. (H0NS.) ~. It is shown that recent results in the theory of entire eigen-structure assignment greatly facilitate the design of high-gain state-feedback controllers. The design of such controllers is reduced to the separate computation of well-defined subspaces associated with the `slow.

and `fast. modes of closed-loop systems incorporating high-gain controllers. This reference/text discusses the structure and concepts of multivariable control systems, offering a balanced presentation of theory, algorithm development, and methods of implementation.;The book contains a powerful software package - L.A.S (Linear Algebra and Systems) which provides a tool for verifying an analysis technique or control design.;Reviewing the fundamentals of linear Cited by: Multivariable Feedback Control: Analysis and Design, Second Edition presents a rigorous, yet easily readable, introduction to the analysis and design of robust multivariable control systems.

Focusing on practical feedback control and not on system theory in general, this book provides the reader with insights into the opportunities and limitations of feedback by: There are two main goals for a feedback control system design, to achieve stability and desired performance.

The methods of feedback control include forms of controllers designed using continuous time domain, frequency domain, discrete time domain, and state space methods. I used a portfolio of books, since my classes in control engineering covered a variety of topics.

The three main books that I used were: [1] R. Dorf and R. Bishop. Modern Control Systems. Pearson Education, Upper Saddle River, NJ, elev.

Computer Aided Design of Multivariable Technological Systems covers the proceedings of the Second International Federation of Automatic Control (IFAC). The book reviews papers that discuss topics about the use of Computer Aided Design (CAD) in designing multivariable system, such as theoretical issues, applications, and Edition: 1.

The controller design for polynomial discrete-time systems is a hard problem due to the fact that the relation between the Lyapunov function and the controller matrix is always not jointly convex. Linear system theory and design, by Chi-Tsong Chen intricacies of linear multivariable control systems.

model in the book and a controller design done. the inherent meaning and interpretation of the principles within multivariable control system design. This is reflected in a book structure where after several chapters on models and linear system analysis Chapter 4 pauses to review the control roadmap ahead in the second part of the book.Two design approaches are considered: (i) multi‐objective optimisation, in which conflicting objectives such as robustness, system constraints, overshoot, rise times and multivariable decoupling are achieved by concurrent numerical optimisation of the optimal Linear Quadratic (LQ) weighting matrices; and (ii) an algebraic approach for.Multivariable Feedback Control: Analysis and Design, Second Edition is an excellent resource for advanced undergraduate and graduate courses studying multivariable control.

It is also an invaluable tool for engineers who want to understand multivariable control, its limitations, 4/5.