In recent years, the Support Vector Machine (SVM) has been commonly used as both classifier and control due to its advantages, which are sharp distinction surface detection and high accuracy, in the literature. In this study, the speed control of Direct Current (dc) motor system, which has variable parameters for resistance, is performed by using SVM controller. For this reason, the dc motor speed control performance of designed SVM controller is compared with the linear PI controller's. As shown from results, the dc motor speed control performance of designed SVM controller is very high. While the dc motor speed control performance of linear PI controller is degredation, the SVM controller’s is robust versus to changes of controller parameter values.
PL
System SVM jest powszechnie używany w sterowaniu dzięki swym zaletom. W artykule zastosowano system do sterowania prędkością silnika napięcia stałego. Porównano sterowanie SVM z liniowym kontrolerem PI. System SVM był bardziej odporny na zmiany parametrów.
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This paper was motivated by known results in the electric motor control where classical control algorithms were verified in the experimental framework. We want to show, that the control theory offers more sophisticated control methods that await their practical implementation. Presented algorithms for both continuous and discrete control and state estimation give many possibilities of improvement in the field of electric drive control. Our results are illustrated with simulations, but with available technology (such as MATLAB/Simulink/RTWT) can be easily verified in practice.
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