Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

  • Muhammet Ünal
  • Ayça Ak
  • Vedat Topuz
  • Hasan Erdal

Part of the Studies in Computational Intelligence book series (SCI, volume 449)

Table of contents

  1. Front Matter
    Pages 1-14
  2. Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal
    Pages 1-3
  3. Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal
    Pages 5-17
  4. Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal
    Pages 19-29
  5. Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal
    Pages 31-35
  6. Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal
    Pages 37-68
  7. Muhammet Ünal, Ayça Ak, Vedat Topuz, Hasan Erdal
    Pages 69-72
  8. Back Matter
    Pages 0--1

About this book

Introduction

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to  process system control.

Keywords

Ant Colony Optimization Algorithms Artificial Intelligent Artificial Neural Network Genetic Algorithms Modelling PID Controller Process System Control Real Time Control Ziegler-Nichols Method

Authors and affiliations

  • Muhammet Ünal
    • 1
  • Ayça Ak
    • 2
  • Vedat Topuz
    • 3
  • Hasan Erdal
    • 4
  1. 1.Goztepe Campus, Technical Education Faculty, D401Marmara UniversityIstanbulTurkey
  2. 2.Goztepe Campus, Vocational School of Technical SciencesMarmara UniversityIstanbulTurkey
  3. 3.Goztepe Campus, Vocational School of Technical SciencesMarmara UniversityIstanbulTurkey
  4. 4.Goztepe Campus, Technology FacultyMarmara UniversityIstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-32900-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-32899-2
  • Online ISBN 978-3-642-32900-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book