ADAPTIVE CONTROL OF DC MOTOR WITHOUT IDENTIFICATION OF PARAMETERS

Fezazi Omar, Hamdaoui Habib, Ayad Ahmed Nour El Islam, Ardjoun Sid Ahmed El Mehdi

DOI Number
https://doi.org/10.2298/FUEE2203301O
First page
301
Last page
312

Abstract


Parameter identification is a major problem in industrial environments where it might be difficult or even impossible in some situations. Moreover, non-measurable and unknown variations of system parameters can affect the performance of conventional proportional-integral (PI) controllers.  The concept of developing a controller that does not depend on the system parameters seems very interesting. Therefore, this paper deals with the experimental implementation of model reference adaptive control of a DC motor without identifying parameters. Adaptive control is considered an online solution to control a system without knowing system parameters since it can be adjusted automatically to maintain favorable tracking performance. The simulation and experimental results are presented to demonstrate the effectiveness of the proposed control method.


Keywords

uncertainty of the identification, adaptive control, reference model, DC motor

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References


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