Advanced PID Control

By K. Åström, Tore Hägglund. 2005

1,947 citations recorded by the source corpus.

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. A new book, 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.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/be4405ec46a026a6f602a260765d794a55f0b951

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In Control and Systems Engineering

Citations in the corpus

An Algorithm for Stabilization of Fractional-Order Time Delay Systems Using Fractional-Order PID Controllers (2007, methodology): “The PID controller is unquestionably the most commonly used control algorithm in the control industry [1].”
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments (2017, methodology): “Finally, the PID controllers are reset at 0 velocity, and standard approaches for windup avoidance are used to prevent unsafe acceleration [66].”
An Introduction for Scientists and Engineers SECOND EDITION (2021, neutral): “[ÅH05] K.”
Comparing filtered PI, PID and PIDDcontrol for the FOTD plants (2018, methodology): “PI and PID control represent the most frequently used control technology (Åström and Hägglund, 2006), the first order time delayed (FOTD) systems the most commonly used approximations for their tuning.”
Model-free control (2013, methodology): “See the two books by Åström and Hägglund (2006), O’Dwyer (2009), and the numerous references therein.”
Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids (2014, neutral): “…qi , pi/Di − ωsync for i ∈ VI and observing that kq̇i = ∑ j∈VI Dj θ̇j/ ∑ j∈VI Dj is identical for all i ∈ VI , we can rewrite the closed-loop equations (23) as 0 = P̃i − Pe,i(θ) , i ∈ VL , (24a) Diθ̇i = P̃i − Pe,i(θ)−Diq , i ∈ VI , (24b) kq̇ = ∑ j∈VI Dj θ̇j∑ j∈VI Dj , (24c) where P̃i is as in…”
Evolutionary Bilevel Optimization for Complex Control Tasks (2015, background): “For many traditional control tasks that involve few state variables, classical approaches such as PID controllers are suﬃcient [1].”
Feedback Systems: An Introduction for Scientists and Engineers (2008, neutral): “A comprehensive presentation of PID control is given in [16] and [17].”
Tuning and implementation methods for fractional-order controllers (2012, background): “The main motivation is that in process control more than 95% of the control loops are of PI/PID type [1].”
Optimal PI and PID control of first-order plus delay processes and evaluation of the original and improved SIMC rules (2018, background): “[3] emphasize the need of including all the behaviours of the control loop.”