Speed Control of IM Using RL-Based TD3 Agent

Basit Öğe Kaydı
dc.contributor.authorKorpe, Ugur Ufuk
dc.contributor.authorGokdag, Mustafa
dc.contributor.authorGulbudak, Ozan
dc.date.accessioned2024-09-29T16:04:28Z
dc.date.available2024-09-29T16:04:28Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description6th Global Power, Energy and Communication Conference (GPECOM) -- JUN 04-07, 2024 -- Budapest, HUNGARYen_US
dc.description.abstractInduction machines (IM) have been used daily since the 19th century. The induction machine should be effectively controlled to achieve high performance. Since the late 20th century and 21st century, field-oriented control (FOC), direct torque control (DTC), and model predictive control (MPC) techniques have been used in high-performance control applications. However, these techniques are dependent on the motor parameters and inverter model. These parameters change non-linearly depending on magnetic saturation, temperature, and operating point which negatively affects the performance of the system. In order to eliminate the negative effects of parameter changes, reinforcement learning (RL)-based methods have become increasingly popular in the literature in recent years. In this study, for the first time, the speed control of IM is performed using TD3 agent, which is one of the RL-based methods. The dynamic and steady-state performance of the control system designed with the TD3 agent is compared with the traditional FOC technique. Extensive simulation results have shown the robustness of the proposed drive system.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.doi10.1109/GPECOM61896.2024.10582561
dc.identifier.endpage178en_US
dc.identifier.isbn979-8-3503-5108-8
dc.identifier.isbn979-8-3503-5109-5
dc.identifier.issn2832-7667
dc.identifier.scopus2-s2.0-85199089035en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage173en_US
dc.identifier.urihttps://doi.org/10.1109/GPECOM61896.2024.10582561
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6127
dc.identifier.wosWOS:001268516300006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartofProceedings 2024 Ieee 6th Global Power, Energy and Communication Conference, Ieee Gpecom 2024en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInduction motoren_US
dc.subjectmodel predictive controlen_US
dc.subjectreinforcement learningen_US
dc.subjectTD3 agenten_US
dc.titleSpeed Control of IM Using RL-Based TD3 Agenten_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu