• Publications
  • Influence
Multivariable Feedback Control: Analysis and Design
TLDR
This book presents a rigorous, yet easily readable, introduction to the analysis and design of robust multivariable control systems and provides the reader with insights into the opportunities and limitations of feedback control.
Simple analytic rules for model reduction and PID controller tuning
The aim of this paper is to present analytic rules for PID controller tuning that are simple and still result in good closed-loop behavior. The starting point has been the IMC-PID tuning rules that
Simple analytic rules for model reduction and PID controller tuning
The aim of this paper is to present analytic rules for PID controller tuning that are simple and still result in good closed-loop behavior. The starting point has been the IMC-PID tuning rules that
Internal model control: PID controller design
For a large number of single input-single output (SISO) models typically used in the process industries, the Internal Model Control (IMC) design procedure is shown to lead to PID controllers,
Plantwide control: the search for the self-optimizing control structure
TLDR
A systematic procedure for finding suitable controlled variables based on only steady-state information is presented and important steps are degree of freedom analysis, definition of optimal operation (cost and constraints), and evaluation of the loss when the controlled variables are kept constant rather than optimally adjusted.
Control structure design for complete chemical plants
  • S. Skogestad
  • Engineering, Computer Science
    Comput. Chem. Eng.
  • 15 January 2004
TLDR
In the paper, a systematic procedure for control structure design for complete chemical plants (plantwide control) is presented, and starts with carefully defining the operational and economic objectives, and the degrees of freedom available to fulfill them.
Plantwide Control: The Search for the Self-optimizing Control Structure
Abstract The following important question is frequently overlooked: Which variables should we select to control? It is shown that the idea of selecting the variables that achieve “self-optimizing
Robust control of ill-conditioned plants: high-purity distillation
Using a high-purity distillation column as an example, the physical reason for the poor conditioning and its implications on control system design and performance are explained. It is shown that an
NULL SPACE METHOD FOR SELECTING OPTIMAL MEASUREMENT COMBINATIONS AS CONTROLLED VARIABLES
The issue in this paper is to select controlled variables c as combinations of the measurements y. The objective is to obtain self-optimizing control, which is when we can achieve near-optimal
Probably the best simple PID tuning rules in the world
The aim of this paper is to present analytic tuning rules which are as simple as possible and still result in a good closed-loop behavior. The starting point has been the IMC PID tuning rules of
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