Advanced search
Publication Cover
International Journal of Systems Science Volume 44, 2013 - Issue 8
Submit an article Journal homepage
241
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Stabilisation of unstable FOPDT processes with a single zero by fractional-order controllers

Iraj Kheirizad Electrical Engineering Department, Iran University of Science and Technology, Tehran, Iran
,
Ali Akbar Jalali Electrical Engineering Department, Iran University of Science and Technology, Tehran, IranCorrespondence[email protected]
&
Khosro Khandani Electrical Engineering Department, Iran University of Science and Technology, Tehran, Iran
Pages 1533-1545 | Received 30 Apr 2011, Accepted 15 Jan 2012, Published online: 17 Feb 2012
 
Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days

Abstract

In this article, stabilisation of unstable first-order-plus-dead-time (FOPDT) processes with a single zero by fractional-order (FO) controllers is investigated. A Nyquist stability criterion-based approach is adopted to derive the conditions for stability. Sufficient stabilisability conditions by FO [proportional integral] controllers and FO-lead–lag controllers are established. In addition, robust stability of the system with these FO controllers is investigated. To illustrate the results, some examples are provided.

Log in via your institution

Access through your institution

Log in to Taylor & Francis Online

Restore content access

Restore content access for purchases made as guest
Purchase options * Save for later

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 1,413.00 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.