Abstract
This paper describes the research of the influence of feedback signals in the neuroregulator on the quality of regulation. The approach to creation of a method of development of automatic control systems using artificial neural networks as a regulator with consideration of real technical equipment of automation is described. The effectiveness of feedback in a neural regulator is analysed by carrying out a complex study in relation to the variation of the object’s parameters. For a clear comparison, the transients for each object configuration have been summarised in common graphs. In addition, in order to analyse the effectiveness of the selected configuration, a modular quality index was calculated for each case and these values are tabulated in a common table.
Published Version
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