Simple analytic rules for model reduction and PID controller tuning
By Sigurd Skogestad. 2003
2,186 citations recorded by the source corpus.
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 have achieved widespread industrial acceptance. The rule for the integral term has been modified to improve disturbance rejection for integrating processes. Furthermore, rather than deriving separate rules for each transfer function model, there is a just a single tuning rule for a first-order or second-order time delay model. Simple analytic rules for model reduction are presented to obtain a model in this form, including the 'half rule' for obtaining the effective time delay.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/62a3667be2ef22f484bb472d6a2d4511bcf7a147
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In Control and Systems Engineering
- Ubaid M. Al-Saggaf
- Ibrahim Mustafa Mehedi
- C. Grimholt
- Rachid Mansouri
- Maamar Bettayeb
- K. Åström
- Sigurd Skogestad
- Tore Hägglund
Citations in the corpus
- Revisiting the Ziegler-Nichols step response method for PID control (2004, background): “Skogestads half rule [26] and replacing L and T by Lþ Tf=2 and T þ Tf=2 in the tuning formula (11).”
- Smith Predictor Based Fractional‐Order‐Filter PID Controllers Design for Long Time Delay Systems (2017, methodology): “To use the Smith predictor structure, the transfer function (32) is approximated by two models using the well known Skogestad’s “half rule” method [31].”
- Optimal PI-Control and Verification of the SIMC Tuning Rule (2012, methodology): “The SIMC method for PID controller tuning (Skogestad, 2003) has already found wide industrial usage.”