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  • The presented contribution introduces a simple methodology for robust control system design in case of the limitations on a manipulated variable. For this task efficient simulation and optimization tools of the MATLAB environment are fruitfully exploited. The control system design is based on the polynomial approach resulting in the pole-placement problem to be solved. This task is addressed numerically by means of the standard MATLAB functions for nonlinear constrained optimization to meet both the constraints on the control input signal and robustness of the resultant closed-loop. Some new control quality criteria and procedure are introduced for this purpose. The suggested methodology is illustrated practically on a simulation example with a classical feedback control configuration and one optimized parameter. The presented results of robust constrained control of a magnetic levitation system show applicability of the suggested approach.
  • The presented contribution introduces a simple methodology for robust control system design in case of the limitations on a manipulated variable. For this task efficient simulation and optimization tools of the MATLAB environment are fruitfully exploited. The control system design is based on the polynomial approach resulting in the pole-placement problem to be solved. This task is addressed numerically by means of the standard MATLAB functions for nonlinear constrained optimization to meet both the constraints on the control input signal and robustness of the resultant closed-loop. Some new control quality criteria and procedure are introduced for this purpose. The suggested methodology is illustrated practically on a simulation example with a classical feedback control configuration and one optimized parameter. The presented results of robust constrained control of a magnetic levitation system show applicability of the suggested approach. (en)
Title
  • Simulation approach to robust constrained control
  • Simulation approach to robust constrained control (en)
skos:prefLabel
  • Simulation approach to robust constrained control
  • Simulation approach to robust constrained control (en)
skos:notation
  • RIV/70883521:28140/14:43871829!RIV15-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V
http://linked.open...iv/cisloPeriodika
  • 5
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 44954
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/14:43871829
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Simulation; Robust control; Polynomial approach; Matlab; Constrained control (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • IT - Italská republika
http://linked.open...ontrolniKodProRIV
  • [66291531EAEE]
http://linked.open...i/riv/nazevZdroje
  • International Review of Automatic Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 7
http://linked.open...iv/tvurceVysledku
  • Gazdoš, František
  • Marholt, Jiří
issn
  • 1974-6059
number of pages
http://bibframe.org/vocab/doi
  • 10.15866/ireaco.v7i5.3495
http://localhost/t...ganizacniJednotka
  • 28140
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