Simulation approach to robust constrained control

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871829" target="_blank" >RIV/70883521:28140/14:43871829 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.15866/ireaco.v7i5.3495" target="_blank" >http://dx.doi.org/10.15866/ireaco.v7i5.3495</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15866/ireaco.v7i5.3495" target="_blank" >10.15866/ireaco.v7i5.3495</a>

Result language
angličtina
Original language name
Simulation approach to robust constrained control
Original language description
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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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