Generalized predictive control based on particle swarm optimization for linear/nonlinear process with constraints

Zenghui Wang, Yanxia Sun

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

10 Citations (Scopus)

Abstract

This paper presents an intelligent generalized predictive controller (GPC) based on particle swarm optimization (PSO) for linear or nonlinear process with constraints. We propose several constraints for the plants from the engineering point of view and the cost function is also simplified. No complicated mathematics is used which originated from the characteristics of PSO. This method is easy to be used to control the plants with linear or/and nonlinear constraints. Numerical simulations are used to show the performance of this control technique for linear and nonlinear processes, respectively. In the first simulation, the control signal is computed based on an adaptive linear model. In the second simulation, the proposed method is based on a fixed neural network model for a nonlinear plant. Both of them show that the proposed control scheme can guarantee a good control performance.

Original languageEnglish
Title of host publication2010 2nd International Conference on Computational Intelligence and Natural Computing, CINC 2010
Pages303-306
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 2nd International Conference on Computational Intelligence and Natural Computing, CINC 2010 - Wuhan, China
Duration: 13 Sept 201014 Sept 2010

Publication series

Name2010 2nd International Conference on Computational Intelligence and Natural Computing, CINC 2010
Volume1

Conference

Conference2010 2nd International Conference on Computational Intelligence and Natural Computing, CINC 2010
Country/TerritoryChina
CityWuhan
Period13/09/1014/09/10

Keywords

  • Constraint, nonlinear process
  • Generalized predictive control
  • Intelligent control
  • Particle swarm optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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