Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Software-based optimal PID design with robustness and noise sensitivity constraints

Författare

Summary, in English

Even though PID control has been available for a long time, there are still no tuning methods including derivative action that have gained wide acceptance in industry. Also, there is still no general consensus for when one should use PID, PI or even I control on a process. The focus of this article is to present a new method for optimal PID control design that automatically picks the best controller type for the process at hand. The proposed PID design procedure uses a software-based method to find controllers with optimal or near optimal load disturbance response subject to robustness and noise sensitivity constraints. It is shown that the optimal controller type depends on maximum allowed noise sensitivity as well as process dynamics. The design procedure thus results in a set of PID, PI and I controllers with different noise filters that the user can switch between to reach an acceptable control signal activity. The software is also used to compare PI and PID control performance with equivalent noise sensitivity and robustness over a large batch of processes representative for the process industry. This can be used to show how much a particular process benefits from using the derivative part.

Publiceringsår

2015

Språk

Engelska

Sidor

90-101

Publikation/Tidskrift/Serie

Journal of Process Control

Volym

33

Issue

9

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Control Engineering

Nyckelord

  • Software tools
  • PID control
  • Optimization
  • Measurement noise
  • Control system design

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1873-2771