PI control design based on sensitivity analysis and genetic algorithms

Shan Chang Hsieh*, Jau Woei Perng, Li Shan Ma

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the application of PI control design is presented by use of the sensitivity function and the genetic algorithm. A systematic procedure is proposed to improve the result of the sensitivity function for PI control in the literature. By doing this, a certain gain margin (GM) and phase margin (PM) of PI control systems can be guaranteed. In order to obtain the stability boundary of the PI control systems in parameter space, the Tan's method is adopted here. In addition, the genetic algorithm is applied to fulfill the specifications of integral of absolute error (IAE). Moreover, this method is also utilized to design the PI controller of Kharitonov plants. Computer simulations show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012
Pages95-98
Number of pages4
DOIs
StatePublished - 2012
Event3rd International Conference on Information Security and Intelligent Control, ISIC 2012 - Yunlin, Taiwan
Duration: 14 Aug 201216 Aug 2012

Publication series

NameProceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012

Conference

Conference3rd International Conference on Information Security and Intelligent Control, ISIC 2012
Country/TerritoryTaiwan
CityYunlin
Period14/08/1216/08/12

Keywords

  • Genetic algorithm
  • Kharitonov plant
  • PI control
  • Sensitivity function

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