Parametric sensitivity reduction of PI-based control systems by means of evolutionary optimization algorithms

Radu Codrut David, Radu Emil Precup, Stefan Preitl, Jozsef K. Tar, Janos Fodor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper proposes new optimization algorithms for the optimal tuning of PI controllers dedicated to a class of second-order processes with integral component and variable parameters. The sensitivity analysis with respect to the parametric variations of the controlled process leads to the sensitivity models. The augmentation of the output sensitivity functions over the integral of absolute error criterion results in the definition of objective functions, and the corresponding optimization problems are solved by Particle Swarm Optimization (PSO) and Gravitational Search Algorithms (GSA). The algorithms are tested in a case study associated with several analyses.

Original languageEnglish
Title of host publicationSACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
Pages241-246
Number of pages6
DOIs
Publication statusPublished - Jul 11 2011
Event6th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2011 - Timisoara, Romania
Duration: May 19 2011May 21 2011

Publication series

NameSACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings

Conference

Conference6th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2011
CountryRomania
CityTimisoara
Period5/19/115/21/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

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    David, R. C., Precup, R. E., Preitl, S., Tar, J. K., & Fodor, J. (2011). Parametric sensitivity reduction of PI-based control systems by means of evolutionary optimization algorithms. In SACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 241-246). [5873007] (SACI 2011 - 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings). https://doi.org/10.1109/SACI.2011.5873007