Affiliations: [a] Faculty of Electrical Engineering and Information
Technologies, Ss. Cyril and Methodius University, Skopje, Macedonia
Correspondence:
[*]
Corresponding author: Marija Cundeva-Blajer, Faculty of
Electrical Engineering and Information Technologies, Ss. Cyril & Methodius
University, Karpos II, b.b. POBox 574, 1000 Skopje, Macedonia. Tel.: +389 2
3099 162; Fax: +389 2 3064262; E-mail: [email protected]
Abstract: In the paper an analysis of the influence of the objective function
during the process of metrological optimal design of an electromagnetic
measurement system is made. The case study is a combined measurement
transformer. The optimal design of the transformer is made by using an original
program based on the genetic algorithm. Four different objective functions
comprising the main metrological parameters of the transformer (voltage and
phase displacement error of the voltage measurement core and current and phase
displacement error of the current measurement core) are posed for the optimal
design. Two metrological approaches are embedded in the objective functions: 1)
the conservative (with certain measurement errors) and 2) the Guide
EA-4/02 "Expression of the Uncertainty of Measurements in Calibration" (GUM)
statistical approach. The optimal design solutions derived for the different
objective functions are compared and discussed.
Keywords: Instrument transformer, genetic algorithm, design of electromagnetic system, objective function
