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Control Configuration Selection for Multivariable Plants

  • Book
  • © 2009

Overview

Authors:
  1. Ali Khaki-Sedigh

    1. Faculty of Electrical and Computer Engineering Department of Control Engineering, K. N. Toosi University of Technology, Tehran, Iran

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    You can also search for this author in PubMed   Google Scholar

  2. Bijan Moaveni

    1. School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • First book on control structure design for multivariable plants
  • Provides worked examples explaining the rather difficult theoretical concepts involved in advanced pairing techniques
  • Readable and attractive book for engineers or senior undergraduate and master students in process and control

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 391)

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Table of contents (8 chapters)

  1. Front Matter

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  2. Introduction

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 1-12

  3. Control Configuration Selection of Linear Multivariable Plants: The RGA Approach

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 13-55

  4. Control Configuration of Linear Multivariable Plants: Advanced RGA Based Techniques

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 57-98

  5. Control Configuration Selection of Linear Multivariable Plants: SSV and Passivity Based Techniques

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 99-113

  6. Control Configuration Selection of Linear Multivariable Plants Based on the State-Space Models

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 115-138

  7. Control Configuration Selection of Nonlinear Multivariable Plants

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 139-172

  8. Control Configuration Selection of Linear Uncertain Multivariable Plants

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 173-217

  9. Appendix: Mathematical Models Used in Examples

    • Ali Khaki-Sedigh, Bijan Moaveni
    Pages 219-228

  10. Back Matter

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Keywords

About this book

Control of multivariable industrial plants and processes has been a challenging and fascinating task for researchers in this field. The analysis and design methodologies for multivariable plants can be categorized as centralized and decentralized design strategies. Despite the remarkable theoretical achievements in centralized multiva- able control, decentralized control is still widely used in many industrial plants. This trend in the beginning of the third millennium is still there and it will be with us for the foreseeable future. This is mainly because of the easy implementation, main- nance, tuning, and robust behavior in the face of fault and model uncertainties, which is reported with the vast number of running decentralized controllers in the industry. The main steps involved in employing decentralized controllers can be summarized as follows: • Control objectives formulation and plant modeling. • Control structure selection. • Controller design. • Simulation or pilot plant experiments and Implementation. Nearly all the textbooks on multivariable control theory deal only with the control system analysis and design. The important concept of control structure selection which is a key prerequisite for a successful industrial control strategy is almost unnoticed. Structure selection involves the following two main steps: • Inputs and outputs selection. • Control configuration selection or the input-output pairing problem. This book focuses on control configuration selection or the input-output pairing problem, which is defined as the procedure of selecting the appropriate input and output pair for the design of SISO (or block) controllers.

Authors and Affiliations

  • Faculty of Electrical and Computer Engineering Department of Control Engineering, K. N. Toosi University of Technology, Tehran, Iran

    Ali Khaki-Sedigh

  • School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran

    Bijan Moaveni

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