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Analytical Design of PID Controllers

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“The techniques covered in this book form a substantial contribution to the field of control, and this book is recommended for students and practitioners of control theory.” (Lee H. Keel, IEEE Control Systems Magazine, Vol. 41 (1), February, 2021)

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This monograph presents a new analytical approach to the design of proportional-integral-derivative (PID) controllers for linear time-invariant plants. The authors develop a computer-aided procedure, to synthesize PID controllers that satisfy multiple design specifications. Les mer

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This monograph presents a new analytical approach to the design of proportional-integral-derivative (PID) controllers for linear time-invariant plants. The authors develop a computer-aided procedure, to synthesize PID controllers that satisfy multiple design specifications. A geometric approach, which can be used to determine such designs methodically using 2- and 3-D computer graphics is the result.

The text expands on the computation of the complete stabilizing set previously developed by the authors and presented here. This set is then systematically exploited to achieve multiple design specifications simultaneously. These specifications include classical gain and phase margins, time-delay tolerance, settling time and H-infinity norm bounds. The results are developed for continuous- and discrete-time systems. An extension to multivariable systems is also included.


Analytical Design of PID Controllers provides a novel method of designing PID controllers, which makes it ideal for both researchers and professionals working in traditional industries as well as those connected with unmanned aerial vehicles, driverless cars and autonomous robots.

Detaljer

Forlag
Springer Nature Switzerland AG
Innbinding
Paperback
Språk
Engelsk
Sider
302
ISBN
9783030182304
Utgivelsesår
2020
Format
24 x 16 cm

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«

“The techniques covered in this book form a substantial contribution to the field of control, and this book is recommended for students and practitioners of control theory.” (Lee H. Keel, IEEE Control Systems Magazine, Vol. 41 (1), February, 2021)

»

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