Optimizing Efficiency and Performance in DC-DC Boosters: A Newton-Raphson Approach for Enhanced Model Predictive Control

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dc.contributor.authorNeamah, O.N.
dc.contributor.authorAbumelh, A.S.
dc.contributor.authorBayir, R.
dc.date.accessioned2024-09-29T16:21:02Z
dc.date.available2024-09-29T16:21:02Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.descriptionAksaray University; IEEE; University of Seychellesen_US
dc.description2024 International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024 -- 1 February 2024 through 2 February 2024 -- Victoria -- 198277en_US
dc.description.abstractThis study introduces an innovative approach leveraging Newton-Raphson optimization to enhance the control of Model Predictive Control (MPC) in DC-DC Boosters, a technology extensively employed in electric vehicles, renewable energy systems, microgrids, and diverse applications. In addressing inherent challenges such as pronounced overshoot and oscillations observed in traditional MPC and other controllers like Hysteresis Controller (HC) and Proportional-Integral (PI), the proposed method demonstrates remarkable efficiency. The application of Newton-Raphson optimization yields significant improvements in the performance of the DC-DC Booster, presenting a promising avenue for optimizing control strategies in these crucial systems. This advancement holds great potential to substantially contribute to the stability and effectiveness of DC-DC Boosters across various operational scenarios, thereby making notable strides in the field of control systems for critical applications. © 2024 IEEE.en_US
dc.identifier.doi10.1109/ACDSA59508.2024.10467663
dc.identifier.isbn979-835039452-8
dc.identifier.scopus2-s2.0-85189934166en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ACDSA59508.2024.10467663
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9483
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofInternational Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDC-DC Boosteren_US
dc.subjectHysteresis Controlleren_US
dc.subjectModel Predictive Control (MPC)en_US
dc.subjectNewton-Raphsonen_US
dc.subjectProportional-Integral (PI)en_US
dc.titleOptimizing Efficiency and Performance in DC-DC Boosters: A Newton-Raphson Approach for Enhanced Model Predictive Controlen_US
dc.typeConference Objecten_US

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