Overview
- The reader will gain up-to-date knowledge in the area of servo-system control and of hydraulic servo-systems in particular
- The detailed working procedures and advice on implementation routines and software tools will make it easier for the reader to apply the control models and systems presented so as to make his own systems more efficient
- Keeps mathematical complexity to a minimum
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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About this book
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. It also reviews the principles, benefits and limitations associated with standard control design approaches such as linear state feedback control, feedforward control and compensation for static nonlinearities, 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.
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Keywords
Table of contents (7 chapters)
Reviews
From the reviews:
Altogether the book gives a comprehensive survey of physical modelling, conventional and modern control stategies for hydraulic drives and can be recommended to engineers and scientists who are working in this field.
Simulation News Europe 38/39 (2003) 61 – 62 (Reviewer: Peter Beater)
Authors and Affiliations
About the authors
Mohieddine Jelali received the Dipl.-Ing. and Dr.-Ing. degrees from the University of Duisberg, Germany in 1993 and 1997 respectively, both in mechanical engineering. From 1993 to 1996, he was research assistant with the Department of Measurement and Control.
From 1996 to 1999, he worked as a research-and-development engineer with Mannesmann Demag Metallurgy in Ratingen, BU Cold Rolling and Processing. In September 1999, he joined the Betriebsforchungsinstitut - VDEh-Institut für angewandte Forschung GmbH in Düsseldorf as a project manager and co-ordinator of multinational research projects in the steel industry. His main fields of interest include: modelling, dynamic simulation, development of advanced controls and control prototyping for rolling mills and supervisory control of steel processes.
Since October he has been a lecturer in control systems at the University of Duisberg. He has written/co-written 14 research publications.
Andreas Kroll obtained his Dr.-Ing. in mechanical engineering at the University of Duisberg in 1996. From 1993 to 1996, he was also a research assistant with the Department of Measurement and Control.
In 1996 Doctor Kroll joined the ABB Research Centre in Heidelberg as a research-and-development engineer. Since 1998, he has been International R&D manager and since 2000, the group leader for Applied Control and Optimisation. His current research interests include: methods of computational intelligence, advanced process control and applications, dynamic simulation and optimisation of processes, international project management and personal and technological strategies of the line unit.
He has written or co-written 16 publications.
Bibliographic Information
Book Title: Hydraulic Servo-systems
Book Subtitle: Modelling, Identification and Control
Authors: Mohieddine Jelali, Andreas Kroll
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-1-4471-0099-7
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London Limited 2003
Hardcover ISBN: 978-1-85233-692-9Published: 13 November 2002
Softcover ISBN: 978-1-4471-1123-8Published: 20 September 2012
eBook ISBN: 978-1-4471-0099-7Published: 06 December 2012
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XXX, 355
Topics: Control and Systems Theory, Mathematical Modeling and Industrial Mathematics, Industrial and Production Engineering, Industrial Chemistry/Chemical Engineering, Computational Intelligence, Simulation and Modeling