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Advanced PID Control

Karl J. Ǻström , Tore Hägglund
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Product ISBN/ID:
978-1-55617-942-6

Stock Status: In Stock

About

The authors of the best-selling book PID Controllers: Theory, Design, and Tuning once again combine their extensive knowledge in the PID arena to bring you an in-depth look at the world of PID control. Advanced PID Control builds on the basics learned in PID Controllers but augments it through use of advanced control techniques. Design of PID controllers are brought into the mainstream of control system design by focusing on requirements that capture effects of load disturbances, measurement noise, robustness to process variations and maintaining set points. In this way it is possible to make a smooth transition from PID control to more advanced model based controllers. It is also possible to get insight into fundamental limitations and to determine the information needed to design good controllers. The book provides a solid foundation for understanding, operating and implementing the more advanced features of PID controllers, including auto-tuning, gain scheduling and adaptation. Particular attention is given to specific challenges such as reset windup, long process dead times, and oscillatory systems. As in their other book, modeling methods, implementation details, and problem-solving techniques are also presented.

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Format: Softbound Book
Length: 461 pages
 Shipping Weight: 1.88 lb(s)
Copyright: 2006
Publisher: ISA

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Spotlight Reviews

The Math Behind the Curtain - Apr 10, 2007
Reviewer: Nicholas Sands

One of the automation professional’s most powerful tools is the venerable PID controller. In Advanced PID Control, Karl Åström and Tore Hägglund present analysis and improvements techniques to maximize the PID controller. Åström and Hägglund have published several books, including the two previous books of their controller trilogy, Automatic Tuning of PID Controllers, and PID Controllers: Theory, Design, and Tuning. The capstone is Advanced PID Control.

The introductory chapter is an excellent map of the book's contents, everything that should be in a first chapter. It is also a hook that makes the reader want more. The next chapters are the foundation for the rest of the book; process models, mathematical descriptions of processes, and the PID controllers. The features of the models and the controllers introduced here are used throughout the book. Of note is the rare theoretical treatment of integral wind-up.

In the next several chapters, the theory gets deep. Let the reader beware. Measures for controller performance and stability are introduced, including the ‘gang of six’ key transfer functions and stability margin. Feedforward control is examined before the review of tuning methods. Ziegler-Nichols step response and ultimate gain method, empirical tuning, and model base methods such as pole placement, lambda tuning, internal model control tuning, optimization criteria, and loop shaping are compared. In the following chapter, the authors expand upon their own MIGO (M constrained Integral Gain Optimization) method with the AMIGO (Approximate MIGO) method of tuning on an impressive analysis of a test batch of process models.

The later chapters cover more advanced controllers and some practical techniques. There is a review of predictive controllers like the Smith Predictor and the PPI controller. Another chapter covers the history and current techniques for automatic and adaptive tuning. The chapter on loop performance includes discussion of several practical diagnostics. The techniques for reducing loop interaction and improving control paradigms can be used to improve performance. The final chapter reviews some commercial implementations of PID controllers, from pneumatic to electronic to computer. Åström and Hägglund have written a masterpiece of control theory that will benefit the advanced automation professional, at least those familiar with Nyquist diagrams. As a bonus, each chapter has an excellent summary and reference section that includes a history of key related work. Advanced PID Control can be a challenging read, but if you design control algorithms or tune complex controllers, the insights and techniques are worth the time. Reviewed by Nick Sands