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Registration Number

0220U102035, 0114U003949 , R & D reports

Title

Creation of methods and tools for mathematical and computer modeling of signal inverse processing in the measuring channels of energy facilities monitoring systems.

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Head

Verlan Anatoliy F., Доктор технічних наук

Registration Date

02-03-2020

Organization

Pukhov Institute for Modelling in Energy Engineering National Academy of Sciences of Ukraine

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The research addressed scientific and technical problem of developing methods of mathematical and computer simulation of the measurement systems’ dynamics and their dynamic adjustment on the basis of integrated dynamic models in form of operators and equations of Volterra and construction of efficient algorithms and applications for their numerical implementation. The analysis of the problem of dynamic correction of measurement systems, existing results in research and approaches to its solution allowed to prove the feasibility of applying technical means of dynamic correction of the inverse (information) approach, which, unlike circuit-parametric approach, is based on the use of mathematical signal processing methods with the help of suitable computer tools, which provides advantages in economy and mobility in design The inverse operator method has been developed and analyzed, which naturally takes into account the dynamic nature of the signal recovery problem. Computer experiments to study the computational capacity of the proposed integrated model common types of measurement systems compared to other equivalent forms models demonstrated their relatively high efficiency and quality. The proposed differential algorithm for calculating convolution-type Volterra operators, obtained by applying the Jurie conversion, provides high performance due to the kernel type during precise or approximate reduction to degenerate kernel. The application of the integral mathematical model of the input signal recovery to the description of the signal differentiation operation allows to obtain productive algorithms for the numerical execution of this operation, the validation of which confirms their positive qualities in solving practical problems. A set of applications was developed for the simulation of dynamic adjustment of measuring systems with the implementation of integrated linear and nonlinear macro-models in the MATLAB environment.

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Ivaniuk Vitalii A.
Anatienko Liudmyla M.
Verlan Anatoliy F.
Verlan Andriy A.
Diachuk Olexandr A.
Polozhaenko Sergey A.
Ponedilok Vadym V.
Sterten Jo
Fedorchuk Volodymyr A.
Furtat Yurii O.

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2020-04-02