Experimental Validation for Artificial Data-Driven Tracking Control for Enhanced Three-Phase Grid-Connected Boost Rectifier in DC Microgrids
Author:
Affiliation:
1. Energy Systems Research Laboratory, Florida International University, Miami, FL, USA
2. Manhattan College, New York, NY, USA
3. Prince Sattam bin AbdulAziz University, Al-Kharj, Saudi Arabia
Funder
U.S. Department of Energy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering
Link
https://ieeexplore.ieee.org/ielam/28/10077487/9971756-aam.pdf
Reference58 articles.
1. A Unity Power Factor Front-End Rectifier With Hysteresis Current Control
2. Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive
3. Dual-Hysteresis Band Control of Nine-Switch Inverter to Control Two Induction Motors
4. On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition
5. Automatic Tuning of Cascaded Controllers for Power Converters Using Eigenvalue Parametric Sensitivities
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Investigation on Compensation Topology and Its Parameter Matching Method for Dynamic Wireless Power Transfer System;IEEE Transactions on Industry Applications;2024-07
2. The Analysis and Modeling of Voltage Survivability in Power Systems;IEEE Transactions on Industry Applications;2024-05
3. Optimal detection and classification of grid connected system using MSVM-FSO technique;Environmental Science and Pollution Research;2024-04-16
4. Remote Control System for New Energy Grid Connected Power Generation Based on Artificial Intelligence;2024 International Conference on Power Electronics and Artificial Intelligence;2024-01-19
5. Integrated Policy-Driven Adaptive Control Framework for Grid-Tied Inverters per Frequency Decomposition Based Optimization;2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE);2023-12-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3