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Event-triggered adaptive backstepping control for plug-and-play parallel converter systems

  • Chujia Guo (School of Electrical and Control Engineering, University of Science and Technology) ;
  • Zhe Kou (School of Electrical and Control Engineering, University of Science and Technology) ;
  • Weifeng Liu (School of Electrical and Control Engineering, University of Science and Technology)
  • Received : 2023.01.18
  • Accepted : 2023.06.06
  • Published : 2023.11.20

Abstract

Parallel converter systems are becoming increasingly popular in renewable energy systems as interface converters due to high ride-through capability, low power rate requirement of each submodule, high flexibility, and easy extension with the plug-and-play (PnP) mode. Nevertheless, the number of modules dramatically increase with the growing power requirement, and the communication burden poses one of the main challenges, which will cause unbalanced power sharing and aggravate circulating current. Therefore, a hierarchical event-triggered adaptive backstepping control approach is proposed in this paper. A novel event-triggered mechanism, which includes three event levels to acquire event-triggered signals of submodule PnP, communication packet loss, and undesirable output error, is established. The additional communication approach and control law recalculation are only executed upon detection of event-triggered signals. In addition, an adaptive backstepping control algorithm with a control reference calculation method is designed and embedded in the event-triggered mechanism to ensure the control performance. Finally, the proposed event-triggered adaptive backstepping control method is experimentally demonstrated by a hardware-in-loop experimental platform.

Keywords

Acknowledgement

This research was funded by the Natural Science Foundation of Shaanxi Provincial Department of Education, Grant Number 21JK0543.

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