Application of configurable models on Laguerre filtersfor finding parametric defects in nonlinear ACS

Bloshchinskiy Vladislav Dmitrievich

The paper presents an algorithm based on configurable isomorphic diagnostic models based on Laguerre filters with only a recursive part for finding parametric defects in nonlinear automatic control systems. Two types of nonlinearities in the object are considered: saturation and dead zone. With the help of a software package developed using the Scilab/Xcos block modeling environment, numerical experiments were carried out to configure diagnostic models, sets of vectors of reference defective technical states of the diagnostic object were determined, test diagnostics of the introduced defects was carried out by calculating the distinguishability by the values of diagnostic features. An evaluation of the efficiency and accuracy of the algorithm is given, based on which a conclusion is made about the suitability of using isomorphic models for finding defects in nonlinear dynamic objects.

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