Vladimír Bobál, Joseph Böhm, Jaromír Fessl, Jirí Machácek

Digital Self-tuning Controllers (eBook, PDF)

Algorithms, Implementation and Applications

• Format: PDF

Produktbeschreibung

Adaptive control theory has developed significantly over the past few years; self-tuning control represents one branch of adaptive control that has been successfully applied in practice. Controller design requires knowledge of the plant to be controlled which is not always readily accessible; self-tuning controllers gather such information during normal operation and adjust controller designs on-line as required.

Digital Self-tuning Controllers presents you with a complete course in self-tuning control, beginning with a survey of adaptive control and the formulation of adaptive control problems. Modelling and identification are dealt with before passing on to algebraic design methods and particular PID and linear-quadratic forms of self-tuning control. Finally, laboratory verification and experimentation will show you how to ground your theoretical knowledge in real plant control.

Features:

. comprehensive coverage providing everything a student needs to know about self-tuning control from literature survey to the control of an experimental heat exchanger;

. a strong emphasis on practical problem solving with control algorithms clearly laid out in easy-to-follow formulae or made directly available as Matlab® functions making the book particularly suitable as an aid to project work;

. specially written MATLAB^® toolboxes convenient for the presentation of typical control system and plant properties and ready for use in direct control of real or simulated plants available from springeronline.com;

. worked examples and tutorial exercises to guide you through the learning process.

Digital Self-tuning Controllers comprises an invaluable course with which graduate students and advanced undergraduates can learn how to overcome the significant problems of putting the powerful tools of adaptive control theory into practice. The textwill also be of much interest to control engineers wishing to employ the ideas of adaptive control in their designs and plant.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 318
• Erscheinungstermin: 24. Oktober 2005
• Englisch
• ISBN-13: 9781846280412
• Artikelnr.: 44129402

Autorenporträt

Vladimír Bobál (Prof. Ing. CSc.) graduated from the Faculty of Mechanical Engineering at Brno University of Technology in 1966. He received the CSc. (Ph.D.) degree in Technical Cybernetics at the Institute of Technical Cybernetics, Slovak Academy of Sciences, Bratislava. From 1969 he has worked as a Senior Lecturer, Associate Professor and now Professor in the Department of Automatic Control at the Faculty of Technology, Tomas Bata University in Zlín. His research interests are adaptive control systems, system identification, multivariable systems and CAD for self-tuning controllers. He has published over 190 contributions in scientific journals and conference proceedings (in English and Czech), 7 textbooks and 1 monograph (in Czech).

Inhaltsangabe

Adaptive Control Systems.- Process Modelling and Identification for Use in Self-tuning Controllers.- Self-tuning PID Controllers.- Algebraic Methods for Self-tuning Controller Design.- Self-tuning Linear Quadratic Controllers.- Computer-aided Design for Self-tuning Controllers.- Application of Self-tuning Controllers.

Rezensionen

From the reviews:

"The monograph under review tries to systematically cover all these aspects for one class of adaptive control systems, namely self-tuning systems. ... The book is an excellent complete course on self-tuning and adaptive control systems based on the plant on-line identification. It can be very useful for practically oriented control engineers wanted to employ the ideas of self-tuning control on real industrial plants. ... Also researches developing new methods for design and simulation of adaptive control systems may find here some interesting ideas." (Boris Rohal-Ilkiv, International Journal of Robust and Nonlinear Control, Vol. 17, 2007)