A self-adaptive shuffled frog leaping algorithm for multivariable pid controller’s optimal tuning

  • Yingying Xiao*
  • , Bo Hu Li
  • , Tingyu Lin
  • , Baocun Hou
  • , Guoqiang Shi
  • , Yan Li
  • *Corresponding author for this work

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

Abstract

To insure the multi-input multi-output (MIMO) system has good system response and anti-jamming capability under no decoupling, this paper proposed a self-adaptive shuffled frog leaping algorithm to solve the multivariable PID controller’s optimal tuning problem. First, the mathematical description of optimal tuning problem of multivariable PID controller is given. Second, a modified SFL with a parameter adaptive adjustment strategy in the basis of convergence analysis is proposed to enhance SFL’s global searching ability and to improve its searching efficiency. Finally, a classical simulation example proposed by Wood and Berry is used to compare the performance of our modified SFL with SFL proposed by Thai and wPSO proposed by Shi, and the optimal results of PI/PID controller demonstrate the effectiveness of our algorithm.

Original languageEnglish
Title of host publicationTheory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings
EditorsLin Zhang, Xiao Song, Yunjie Wu
PublisherSpringer Verlag
Pages3-16
Number of pages14
ISBN (Print)9789811026621
DOIs
StatePublished - 2016
Externally publishedYes
Event16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016 - Beijing, China
Duration: 8 Oct 201611 Oct 2016

Publication series

NameCommunications in Computer and Information Science
Volume643
ISSN (Print)1865-0929

Conference

Conference16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016
Country/TerritoryChina
CityBeijing
Period8/10/1611/10/16

Keywords

  • Multi-input multi-output (MIMO) system
  • Optimal tuning
  • Parameter adaptive adjustment
  • Proportional-integral-derivative (PID) controller
  • Shuffled frog leaping algorithm (SFL)

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