Skip to main navigation Skip to search Skip to main content

Robust-Tube Model Predictive Control for Piezoelectrically Actuated Fast Mechanical Switches for Hybrid Circuit Breakers

  • Yu Chai
  • , Chen Yang
  • , Huijuan Dong
  • , Jie Zhao*
  • , Yuri A.W. Shardt*
  • , Bingfeng Ju
  • *Corresponding author for this work
  • Zhejiang University
  • Ilmenau University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Safeguarding high voltage direct current (HVDC) systems against direct current faults is an inherently demanding task. A promising solution to tackle this challenge is the application of piezoelectrically actuated fast mechanical switches (PA-FMS). However, mechanical resonance and random vibrations in the travel curves of P A-FMS have a substantial impact on their control accuracy. To tackle this challenge, a robust-tube model predictive control (RTMPC) strategy is developed. RTMPC drives the disturbed system state into the minimal robustly positively invariant (mRPI) set centered on the target and ensures that constraints are satisfied. The error feedback gain is calculated using the proposed linear matrix inequality (LMI) based method to minimize the effect of disturbances on the trajectory. An efficient outer approximation method is used to compute the mRPI set. Simulation results show that the critically damped travel curves have been achieved, along with a reduction of the external disturbances by 98%.

Original languageEnglish
Title of host publication2024 2nd International Conference on Artificial Intelligence and Automation Control, AIAC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages230-236
Number of pages7
ISBN (Electronic)9798331529147
DOIs
StatePublished - 2024
Event2nd International Conference on Artificial Intelligence and Automation Control, AIAC 2024 - Guangzhou, China
Duration: 20 Dec 202422 Dec 2024

Publication series

Name2024 2nd International Conference on Artificial Intelligence and Automation Control, AIAC 2024

Conference

Conference2nd International Conference on Artificial Intelligence and Automation Control, AIAC 2024
Country/TerritoryChina
CityGuangzhou
Period20/12/2422/12/24

Keywords

  • Robust-tube model predictive control
  • additive uncertainty
  • fast mechanical switch
  • high voltage direct current
  • underdamped

Fingerprint

Dive into the research topics of 'Robust-Tube Model Predictive Control for Piezoelectrically Actuated Fast Mechanical Switches for Hybrid Circuit Breakers'. Together they form a unique fingerprint.

Cite this