When is PID a good choice?

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

A new and freely available model-based PID design tool for Matlab is introduced. It can be used to solve Maximal Integral Gain Optimization (MIGO) and (load) Integral Absolute Error (IAE) problems. Robustness is ensured through H-inf constraints on the closed-loop transfer functions. A Youla parameter (Q design) method for comparison with the optimal linear time-invariant (LTI) controller for the considered IAE optimization problem is presented. Several realistic design examples are provided, in which the tool is used to compare achievable PID and optimal LTI controller performance, to illustrate whether PID is a good choice for a given combination of process dynamics and closed-loop robustness requirements.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
Originalspråkengelska
Sidor (från-till)250-255
Antal sidor6
TidskriftIFAC-PapersOnLine
Volym51
Utgåva nummer4
StatusPublished - 2018
PublikationskategoriForskning
Peer review utfördJa
Evenemang3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control - Universiteit Gent, Ghent, Belgien
Varaktighet: 2018 maj 102018 maj 12
http://www.pid18.ugent.be

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