Özet:

The object of research is the process of producing electric cables with polymer insulation for ultrahigh voltages. One of the most problematic places is the presence in the contours of the regulation of the thickness of insulation layers, the noise of measuring the speeds of worms of extruders and the diameters of the insulation layers, and also the time delay. The noisiness of useful signals and the time delay adversely affect the accuracy of layer thickness control and the speed of regulation and can lead to loss of system stability. To solve this problem, a parametric identification method is proposed, which under real conditions of noisy measurements of control object variables gives an estimate close to the exact values of the parameters. A modified least squares method is used, which in the situation of noisy input and output signals provides an unbiased estimate parameters, and a smaller spread rating than conventional least squares method. This is due to the fact that the proposed method makes it possible to reduce the spread of the quadratic functional by additional averaging on the set of quasi-static independent functionals. In comparison with the analogous well-known least squares method, it provides an increase in the accuracy of identifying parameters in conditions of noiselessness of not only output but also input signals. The introduction of research results in systems of adaptive control of the thickness of polymer insulation layers in the production of cables for ultra-high voltage will improve product quality and improve production efficiency. Author Biographies Mykola Ostroverkhov, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», 37, Peremohy ave., Kyiv, Ukraine, 03056 Doctor of Technical Sciences, Professor, Head of Department Department of Theoretical Electrical Engineering

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