SELECTION OF THE OPTIMAL DESIGN OF THE RADIOELECTRONIC SYSTEM BASED ON THE INTERVAL ANALYSIS OF THE DEVIATION OF DESIGN PARAMETERS REPRESENTED IN DIFFERENT MEASURING SCALES 

Grishko Aleksey Konstantinovich, candidate of technical sciences, associate professor, sub-department of radio equipment design and production, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: alexey-grishko@rambler.ru 

004.942: 519.5: 510.22: 336.763: 336.67 

10.21685/2307-5538-2020-1-2 

Background. The technique of multi-criteria selection of the preferred design solution is considered at the stages of testing prototypes of electronic systems, when the measured and controlled design parameters deviate from the values of the technical specifications and their optimal values are refined during the subsequent design stages. As an object of study, we consider electronic systems having heterogeneous in nature parameters, presented in the form of interval values. As a subject of research, an optimization model for selecting a prototype of an electronic system is considered. The aim of the work is to develop a methodology for choosing the optimal design solution for a radio-electronic system based on a set of heterogeneous parameters presented in the form of deviation ranges.
Materials and methods. It is proposed to find the optimal design solution based on the integrated application of interval analysis methods, decision theory methods, and also using the theory of fuzzy sets.
Results. A technique has been developed for the presentation and processing of measurement information, based on the introduction of an interval preference relationship that takes into account the deviation of the design parameters of the prototypes of the electronic system and various types of uncertainty associated with the heterogeneity of the parameters and scales of their measurement. The technique allows to adequately reflect and compare heterogeneous measuring information about the quality of the tested prototypes of electronic systems and at the same time has mathematical correctness and acceptable accuracy.
Conclusions. The methodology allows more reasonably and at low cost to obtain a solution to the problem of choosing the optimal design of electronic systems according to the results of the analysis of measurement information, as well as reduce the number of repeated design stages, time and financial costs for research and development work. The methodology is proposed to be used in support systems for making design decisions at the stages of testing prototypes of electronic equipment. 

deviation, design parameters, optimization, quality criterion