Design of robust systems by means of the numerical optimization with harmonic changing of the model parameters

The design of robust feedback systems by means of the numerical optimization method is mostly accomplished with modeling of the several systems simultaneously. In each such system, regulators are similar. But the object models are different. It includes all edge values from the possible variants of...

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Bibliographic Details
Published in:Journal of physics. Conference series 2017-01, Vol.803 (1), p.12185
Main Authors: Zhmud, V A, Reva, I L, Dimitrov, L V
Format: Article
Language:English
Subjects:
Design parameters
Mathematical models
Optimization
Parameter robustness
Physics
Robustness (mathematics)
Systems stability
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Summary:The design of robust feedback systems by means of the numerical optimization method is mostly accomplished with modeling of the several systems simultaneously. In each such system, regulators are similar. But the object models are different. It includes all edge values from the possible variants of the object model parameters. With all this, not all possible sets of model parameters are taken into account. Hence, the regulator can be not robust, i. e. it can not provide system stability in some cases, which were not tested during the optimization procedure. The paper proposes an alternative method. It consists in sequent changing of all parameters according to harmonic low. The frequencies of changing of each parameter are aliquant. It provides full covering of the parameters space.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/803/1/012185