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Algorithm for searching parametric defects in continuous ACS using configurable models on Laguerre filters

Bloshchinskiy Vladislav Dmitrievich  (Postgraduate, Pacific National University, Khabarovsk)

Shalobanov Sergey Victorovich  (Doctor of Technology, professor, Pacific National University, Khabarovsk)

Shalobanov Sergey Sergeevich  (PhD in Engineering Science, associate professor, Pacific National University, Khabarovsk)

An algorithm for searching for single parametric defects in continuous automatic control systems based on configurable dynamic models built on Laguerre filters in canonical form was considered. Numerical experiments were carried out to configure the diagnostic model. A set of vectors of reference defect technical states of the diagnostic object was calculated. On the basis of the calculated diagnostic features, the diagnostics of the introduced defects was carried out. The accuracy of the proposed algorithm and the diagnostic possibilities of applying the filters under consideration are estimated. For modeling and conducting numerical experiments, a special software package developed in Scilab / Xcos was used.

Keywords:parametric defect, automatic control system, diagnostic object, diagnostic feature, Laguerre filter, configurable model.
 

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Citation link:
Bloshchinskiy V. D., Shalobanov S. V., Shalobanov S. S. Algorithm for searching parametric defects in continuous ACS using configurable models on Laguerre filters // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2021. -№07. -С. 50-54 DOI 10.37882/2223-2966.2021.07.05
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