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Models’ Bank Selection of Nonlinear Systems by Integrating Gap Metric, Margin Stability, and MOPSO Algorithm

  • Ali ZribiEmail author
  • Mohamed Chtourou
  • Mohamed Djemel
Review Paper
  • 15 Downloads

Abstract

This paper deals with the control of nonlinear systems where the multimodel approach has been used to build global controller. In multimodel approaches, two problems could be generally encountered: (1) how to find the required number of models and (2) what are their locations in an operating space. The developed method integrates gap metric, margin stability and multi-objective particle swarm optimization algorithm (MOPSO) to get a reduced model bank that provides necessary information for controller design. For this, the gap metric and the margin stability are respectively used as a distance measuring tool and as a guideline for selecting the model bank. The controller design is handled as a multi-objective optimization problem. In this context, the MOPSO algorithm is used for tuning optimal PID controllers that give the shortest rise time with a lower overshoot percentage and good margin stability.

Keywords

Multimodel Model bank Gap metric Margin stability MOPSO 

Notes

Funding

Funding was provided by European Network and Information Security Agency.

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Copyright information

© Shiraz University 2019

Authors and Affiliations

  1. 1.Department of Electrical EngineeringNational Engineering School of SfaxSfaxTunisia

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