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ПРИКЛАДИ АНАЛІЗУ СТАЛИХ ПРОЦЕСІВ В САР ЗАСОБАМИ MATLAB. (Ukrainian)
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- Author(s): М. В., Левінський; В. М., Левінський
- Source:
Automation of Technological & Business Processes / Avtomatizaciâ Tehnologiceskih i Biznes-Processov; 2020, Vol. 12 Issue 2, p49-54, 6p- Subject Terms:
- Source:
- Additional Information
- Abstract: Topicality. Controlled disturbances channel identification remains topical problem when building ACS which provide high dynamic accuracy of controlled variable stabilization. This task requires knowledge of stochastic processes theory as well as utilization of MATLAB modern program packages, which provide analysis and synthesis of control systems.Goal. To provide examples of using such packages as Signal Processing Toolbox and System Identification Toolbox in the task of test control object’s controlled disturbances channel’s dynamic characteristics identification and establish an influence on accuracy of model parameters estimation and range of their change and also intensity and spectral composition of non-controllable disturbances. Means. Test control object modelling in Simulink environment was chosen as means of research.Results. Experimental data is provided which characterize the control object delay time change influence on its parameters identification accuracy as well as influence of varying spectral composition of non-controllable disturbances.Conclusions.If non-controllable disturbances are absent, test control object delay time change does not significantly affect the accuracy of identification of its model parameters. This accuracy depends more on the intensity of non-controllable disturbances then on its spectral composition. In general, software packages Signal Processing Toolbox and System Identification Toolbox can be recommended for training of specialists in automatic control for acquisition of skills in steady state processes analysis. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Automation of Technological & Business Processes / Avtomatizaciâ Tehnologiceskih i Biznes-Processov is the property of Odesa National University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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