Parameter tuning of fractional-order PDμ controllers based on bacterial foraging-particle swarm optimization algorithm

Lei Dong, Bo Shan, Zhe Gao, Xiaozhong Liao

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

1 Citation (Scopus)

Abstract

An improved bacterial foraging-particle swarm optimization algrithm(BF-PSO) is proposed to tune parameters of fractional-order PDμ controllers for fractional-order systems with time-delays. Firstly, parameters are initialized based on the stable regions determined by the analytical method, overcoming the defect of uncertainty stable region by Ziegler-Nichols method. Moreover, the convergence and divergence operator is used to replace the elimination stage of BF-PSO, enhancing the efficiency and accuracy of search. Finally, the simulation results are analyzed to verify the effectiveness of this improved BF-PSO method.

Original languageEnglish
Title of host publication2013 25th Chinese Control and Decision Conference, CCDC 2013
Pages2131-2135
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 25th Chinese Control and Decision Conference, CCDC 2013 - Guiyang, China
Duration: 25 May 201327 May 2013

Publication series

Name2013 25th Chinese Control and Decision Conference, CCDC 2013

Conference

Conference2013 25th Chinese Control and Decision Conference, CCDC 2013
Country/TerritoryChina
CityGuiyang
Period25/05/1327/05/13

Keywords

  • BF-PSO
  • PDμ controllers
  • fractional-order systems
  • stable region

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