383
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

Dynamic similarity approach to control system design: delayed PID control loop

, &
Pages 329-338 | Received 11 Nov 2016, Accepted 09 Jul 2017, Published online: 27 Jul 2017
 

ABSTRACT

The paper deals with a novel approach to dimensional analysis-based design of control systems. The case of delayed PID control loop is used to show the benefits of the dynamic similarity concept in providing the control with response resulting from a constrained Integral Absolute Error (IAE) optimisation. The particular aim is to achieve this response in disturbance rejection ability of the control loop. To reach a generalised description in evaluating the control loop dynamics, a dimensionless model is applied resulting from the dimensional analysis of the control loop parameters. By means of originally introduced similarity numbers of laggardness and swingability, explicit relationships between the dominant pole coordinates and the PID controller gains are obtained. The proposed optimum setting of control loop constrained in damping is referred to the ultimate oscillations of the plant.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The presented research results were supported by The Technology Agency of the Czech Republic under the Competence Centre Project [TE01020197] "Centre for Applied Cybernetics 3" and the Institutional Resources of CTU in Prague for research [RVO37000].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.