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Hydraulic Servo-systems

Modelling, Identification and Control

  • Mohieddine Jelali
  • Andreas Kroll

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Mohieddine Jelali, Andreas Kroll
    Pages 1-8
  3. Mohieddine Jelali, Andreas Kroll
    Pages 9-28
  4. Mohieddine Jelali, Andreas Kroll
    Pages 29-52
  5. Mohieddine Jelali, Andreas Kroll
    Pages 53-126
  6. Mohieddine Jelali, Andreas Kroll
    Pages 127-211
  7. Mohieddine Jelali, Andreas Kroll
    Pages 213-289
  8. Mohieddine Jelali, Andreas Kroll
    Pages 291-316
  9. Back Matter
    Pages 317-355

About this book

Introduction

Hydraulic Servo-systems details the basic concepts of many recent developments of nonlinear identification and nonlinear control and their application to hydraulic servo-systems: developments such as feedback linearisation and fuzzy control. The principles, benefits and limitations associated with standard control design approaches such as linear state feedback control, feedforward control and compensation for static nonlinearities are also reviewed, because of their continued practical importance.

Featuring:

• theoretical (physically based) modelling of hydraulic servo-systems;

• experimental modelling (system identification);

• control strategies for hydraulic servo-systems;

• case studies and experimental results.

Appendices outline the most important fundamentals of (nonlinear) differential geometry and fuzzy control. The book is very application-oriented and provides the reader with detailed working procedures and hints for implementation routines and software tools.

Hydraulic Servo-systems will interest scientists and qualified engineers involved in the analysis and design of hydraulic control systems, especially in advanced hydraulic industries, the aeronautical and space, and automotive industries.

 

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Control Engineering Feedback Linearization Fuzzy Identification Nonlinear Control Physical Modelling Rapid Prototyping Servo Systems Vibration geometry hydraulics model modeling optimization robot

Authors and affiliations

  • Mohieddine Jelali
    • 1
  • Andreas Kroll
    • 2
  1. 1.Department of Industrial Plant TechnologyBetriebsforschungsintitut — VDEh-Institut für angewandte Forschung GmbHDüsseldorfGermany
  2. 2.ABB Control ResearchApplied Control and OptimizationLadenburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-0099-7
  • Copyright Information Springer-Verlag London Limited 2003
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-1123-8
  • Online ISBN 978-1-4471-0099-7
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site