A New Reinforcement Learning Based Voltage Control for Three-Phase AC/DC Converter

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Abstract

This paper proposes a novel integral reinforcement learning (IRL) based DC-link voltage control method for three-phase AC/DC converter. The proposed IRL control autonomously updates the optimal control gains using online data trained neural network. It produces superior control performance without the knowledge of system model parameters. Compared with the existing control approaches for three-phase AC/DC converter, it offers the benefits of model independence and autonomous gain tuning. The effectiveness of the proposed IRL method is verified by simulation results.

Original languageEnglish
Title of host publication2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems, ICPICS 2023
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages152-156
Number of pages5
ISBN (Electronic)9798350333442
DOIs
Publication statusPublished - 5 Sept 2023
Event5th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2023 - Shenyang, China
Duration: 14 Jul 202316 Jul 2023

Publication series

Name2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems, ICPICS 2023

Conference

Conference5th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2023
Country/TerritoryChina
CityShenyang
Period14/07/2316/07/23

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