Automation of the control objects identification process
Journal Title: Комп’ютерне моделювання: аналіз, управління, оптимізація - Year 2017, Vol 2, Issue 2
Abstract
The issues of automation of the dynamic objects identification process are reviewed in the paper. The use of computer technologies with the purpose of the automated identification is investigated. The analysis of existent methods of adequacy estimation for models obtained during authentication is executed and the limitations of application of these methods are noted. The application of informational approach to the mathematical models adequacy estimation is substantiated. The use of the universal adequacy informational estimate, applicable for any method of the identification, is suggested. This estimate is based on the concept of Bongard“s useful information. The handy for the practical using formulas are cited for the comparative accuracy estimation of the control object models of different type. The process of design of the Graphical User Interface (GUI) in the special-purpose environment GUIDE of MATLAB system is described. The designed GUI allows to execute authentication of dynamic objects in the interactive mode with the maximal degree of automation. At the same time the creation of model and estimation of its adequacy are performed with the use of different methods. The GUI’s scripts and functions input the data of the dynamic object experimental researches, average, normalize and approximate it by the first, second, third or fourth order transfer function. Fragments of functions realizing the control object step response approximation and the calculation of the adequacy informational criterion values are shown. The approximation is carried out using the function fmincon for minimization with constraints. It is possible to correct a model by the movement of GUI’s sliders with the monitoring of the desirable type of response curve and the controlling of the adequacy criterion value. The use of GUI provides the creation of high-precision models with the minimum time charges. Using the adequacy informational criterion allows to choose the most appropriate model.
Authors and Affiliations
К. М. Петренко, Г. І. Манко
Keywords
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