Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Suresh, K.; Parimalasundar, E.; Arunraja, A.; Ellappan, V.; Ware, Eshetu Tessema Title A name given to the resource Design and Implementation of universal converter using ANN controller Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Scientific Reports;Volume;15;Issue;1;Article No.;3501; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-024-83318-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-024-83318-2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85217357843?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85217357843?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suresh K., Department of EEE(1), Department of ECE (3), Christ University, Bangalore, India; Parimalasundar E., Department of EEE, Mohanbabu University, Tirupati, India; Arunraja A., Department of EEE(1), Department of ECE (3), Christ University, Bangalore, India; Ellappan V., Department of EEE, Mahendra Institute of Technology, Namakkal, India; Ware E.T., School of ECE, Adama Science and Technology University, Adama, Ethiopia Description An account of the resource This paper details the hardware implementation of a Universal Converter controlled by an Artificial Neural Network (ANN), utilizing key components such as six Insulated Gate Bipolar Transistors (IGBTs), two inductors, and two capacitors for energy storage and voltage smoothing. A Digital Signal Processor (DSP) serves as the core controller, processing real-time input and feedback signals, including voltage and current measurements, to dynamically manage five operational modes: rectifier buck, inverter boost, DC-DC buck, DC-DC boost, and AC voltage control. The pre-trained ANN algorithm generates pulse-width modulation (PWM) signals to control the switching of the IGBTs, optimizing timing and duty cycles for efficient operation. The system effectively accommodates both AC and DC inputs, ensuring stable outputs with minimal ripple by dynamically selecting the appropriate mode based on load requirements. Experimental results demonstrated that the ANN controller maintained total harmonic distortion (THD) below 5% in rectifier and inverter modes while achieving an overall efficiency of 9496% in DC-DC modes. The controllers capability to adapt to real-time feedback significantly improved power conversion quality and reduced switching losses. This study confirms the efficacy of the ANN-controlled Universal Converter in meeting the demands of modern power systems through versatile and adaptive control. The Author(s) 2025. Subject The topic of the resource AC-DC conversion; Adaptive control; Artificial neural network (ANN); DC-AC conversion; DC-DC conversion; Efficiency optimization; Universal converter Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 20452322; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online