Control Configuration Selection for Multivariable Plants

  • Ali Khaki-Sedigh
  • Bijan Moaveni
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 391)

Table of contents

  1. Front Matter
  2. Ali Khaki-Sedigh, Bijan Moaveni
    Pages 1-12
  3. Ali Khaki-Sedigh, Bijan Moaveni
    Pages 139-172
  4. Ali Khaki-Sedigh, Bijan Moaveni
    Pages 173-217
  5. Ali Khaki-Sedigh, Bijan Moaveni
    Pages 219-228
  6. Back Matter

About this book

Introduction

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.

Keywords

Control Structure Design Decentralized Control Input-Output Pairing Interaction Measure Multivariable Plants siso system stability

Authors and affiliations

  • Ali Khaki-Sedigh
    • 1
  • Bijan Moaveni
    • 2
  1. 1.Faculty of Electrical and Computer Engineering Department of Control EngineeringK. N. Toosi University of TechnologyTehranIran
  2. 2.School of Railway EngineeringIran University of Science and TechnologyTehranIran

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03193-9
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-03192-2
  • Online ISBN 978-3-642-03193-9
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • About this book