Digital Self-tuning Controllers Algorithms, Implementation and Applications

Vladimír Bobál, Joseph Böhm, Jaromír Fessl, Jirí Machácek, "DigitalSelf-tuning Controllers: Algorithms, Implementation and Applications"

Sp*ger | 2005 | ISBN: 1852339802 | 318 pages | PDF | 3,7 MB

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

Digital Self-tuning Controllers presents you with a complete course inself-tuning control, beginning with a survey of adaptive control and the formulationof adaptive control problems. Modelling and identification are dealt withbefore passing on to algebraic design methods and particular PID andlinear-quadratic forms of self-tuning control. Finally, laboratory verificationand experimentation will show you how to ground your theoretical knowledge inreal plant control.

Features:
comprehensive coverage providing everything a student needs to know aboutself-tuning control from literature survey to the control of an experimentalheat exchanger;

a strong emphasis on practical problem solving with control algorithms clearlylaid out in easy-to-follow formulae, code listings or made directly availableas MATLAB® functions making the book particularly suitable as an aid to projectwork;

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

worked examples and tutorial exercises to guide you through the learningprocess.


Digital Self-tuning Controllers comprises an invaluable course with whichgraduate students and advanced undergraduates can learn how to overcome thesignificant problems of putting the powerful tools of adaptive control theoryinto practice. The text will also be of much interest to control engineerswishing to employ the ideas of adaptive control in their designs and plant.

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