166
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Pole assignment of multivariable systems using proportional-derivative state feedback

Pages 2871-2886 | Received 25 Feb 2016, Accepted 07 Jul 2017, Published online: 23 Aug 2017
 

ABSTRACT

In this article, the parametric solution to the pole assignment problem for multivariable linear time-invariant systems controlled by proportional-derivative (PD) state feedback is developed. The new expressions for the PD gain controllers are derived which describe the available degrees of freedom offered by PD state feedback. The freedom provided by PD state gain matrices is utilised to obtain closed-loop systems with robust and small gain matrices. Two computational algorithms are introduced, and their effectiveness is demonstrated by two simulation examples.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Notes on contributors

Taha H. S. Abdelaziz

Taha H. S. Abdelaziz received his BSc and MSc degrees from Helwan University, Cairo, Egypt, and his PhD degree in Automatic Control from Czech Technical University, Czech Republic. He is working as associate professor at the Faculty of Engineering, Helwan University, Cairo, Egypt. His main research interests include linear systems, pole assignment, eigenstructure assignment, and robust control.

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 1,413.00 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.