Genetic-fuzzy sliding mode controller for a DC servomotor system

dc.contributor.author	Mohammad A. Jaradat
dc.contributor.author	Mohammad I. Awad
dc.contributor.author	Mohammad I. Awad
dc.date.accessioned	2025-11-10T12:00:53Z
dc.date.available	2025-11-10T12:00:53Z
dc.date.issued	2012
dc.description.abstract	A Genetic-Fuzzy Sliding Mode Controller is presented for DC Servomotor system control. The fuzzy logic controller was optimized by Genetic Algorithm method to reduce and eliminate the chattering phenomenon. To demonstrate the effectiveness of the presented approach, a comparison between the proposed system, and standard Sliding Mode controller were conducted. Simulation results have shown the advantages of choosing the proposed controller, to achieve the desired results, regardless of the external disturbance, the variation in system parameters, or the feedback noise. Keywords :Genetic-Fuzzy Controller, Sliding Mode Control (SMC)DC Servomotor, Chattering reduction
dc.identifier.citation	Jaradat, M. A., Awad, M. I., & El-Khasawneh, B. S. (2012, April). Genetic-fuzzy sliding mode controller for a DC servomotor system. In 2012 8th International Symposium on Mechatronics and its Applications (pp. 1-6). IEEE.
dc.identifier.doi	https://doi.org/10.1109/ISMA.2012.6215186
dc.identifier.uri	https://repository.adu.ac.ae/handle/1/7685
dc.language.iso	en
dc.publisher	IEEE Access
dc.title	Genetic-fuzzy sliding mode controller for a DC servomotor system
dc.type	Article

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