Experimental Validation for Artificial Data-Driven Tracking Control for Enhanced Three-Phase Grid-Connected Boost Rectifier in DC Microgrids Conference

Soliman, Ahmed S, Amin, Mahmoud M, El-Sousy, Fayez FM et al. Experimental Validation for Artificial Data-Driven Tracking Control for Enhanced Three-Phase Grid-Connected Boost Rectifier in DC Microgrids . IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 59(2), 2563-2580. 10.1109/TIA.2022.3225783

International Collaboration

cited authors

  • Soliman, Ahmed S; Amin, Mahmoud M; El-Sousy, Fayez FM; Mohammad, Osama A

sustainable development goals

authors

date/time interval

  • September 7, 2021 -

published in

keywords

  • CONTROL STRATEGY
  • CONVERTERS
  • DC microgrids
  • Engineering
  • Engineering, Electrical & Electronic
  • Engineering, Multidisciplinary
  • IMPLEMENTATION
  • INVERTER
  • MODEL-PREDICTIVE CONTROL
  • NEURAL-NETWORK
  • PI
  • POWER ELECTRONICS
  • SLIDING-MODE
  • SYSTEM
  • Science & Technology
  • Technology
  • energy storage
  • grid-connected rectifier
  • intelligent controllers
  • neural networks
  • online learning
  • power converters

Location

  • ITALY, Politecnico Bari, Bari

Digital Object Identifier (DOI)

Conference

  • 21st IEEE International Conference on Environment and Electrical Engineering / 5th IEEE Industrial and Commercial Power Systems Europe (EEEIC/I and CPS Europe)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 2563

end page

  • 2580

volume

  • 59

issue

  • 2