Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 45 min ago
PreprintCC BY 4.0arXiv

Adaptive Average Current-Mode Control of a Buck Converter Supplying Plasma Arc Loads

Abstract

Reliable operation of plasma processes requires a power supply that can regulate and limit the arc current despite rapid changes of the electrical load. Gas-flow fluctuations, arc motion, changing attachment conditions, and electrode interactions can cause abrupt arc-voltage variations and may lead to arc interruption. The power supply must therefore provide fast current control and a suitable actuation layer for supervisory stabilization. This paper presents an adaptive average current-mode controller for a buck converter supplying a nonlinear plasma arc load. Based on an averaged model of the converter inductor dynamics, the controller combines current-error feedback with feedforward compensation of the measured arc voltage. Online adaptation of the inductance and its effective series resistance compensates for converter-parameter uncertainty without requiring an online nonlinear arc model. A Lyapunov analysis establishes bounded estimation errors and asymptotic current tracking for the averaged closed-loop system under bounded-reference assumptions. Experiments with an argon plasma arc demonstrate contact-opening ignition and current-reference tracking under varying arc- voltage conditions, supporting the controller as a fast current-control layer for plasma applications.

Related

  1. An Adaptive Projected-Gradient Algorithm for Sample-Average Approximations of Stochastic Multi-Objective Optimization
    Yiyang Li, Lei Wang, Xiaojun Chen
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  2. Debiasing and t -Tests for Synthetic Control Inference on Average Causal Effects
    Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu
    Journal of Political EconomyPeer-reviewedLicence not statedFull text46 citedStatisticsOpenAlex
  3. Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach
    Yuxuan Han, Xiaoyu Fan, Jiawei Zhang +1
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  4. Direct Sample-Average Learning for Queueing Control: Gradient-Free Top-K Coarse-to-Fine Optimization
    Mehrdad Nozohour Yazdi, Yiqiang Q. Zhao
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  5. The BAR-SOT Method: Long-term Average Cost Control as Stochastic Optimal Self-Transport
    Sharan Srinivasan, Berke M. Turkay, Harsha Honnappa
    arXivPreprintCC BY 4.0Full textOptimisation & controlProbabilityarXiv
BibTeX
@misc{ecker2026adaptive,
  title = {{Adaptive Average Current-Mode Control of a Buck Converter Supplying Plasma Arc Loads}},
  author = {Lukas Ecker and Thomas Voglhuber-Brunnmaier},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.07930},
  eprint = {2610.07930},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.07930},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Adaptive Average Current-Mode Control of a Buck Converter Supplying Plasma Arc Loads
AU  - Lukas Ecker
AU  - Thomas Voglhuber-Brunnmaier
PY  - 2026
DA  - 2026/10/06
PB  - arXiv
DO  - 10.48550/arxiv.2610.07930
UR  - https://arxiv.org/abs/2610.07930
AB  - Reliable operation of plasma processes requires a power supply that can regulate and limit the arc current despite rapid changes of the electrical load. Gas-flow fluctuations, arc motion, changing attachment conditions, and electrode interactions can cause abrupt arc-voltage variations and may lead to arc interruption. The power supply must therefore provide fast current control and a suitable actuation layer for supervisory stabilization. This paper presents an adaptive average current-mode controller for a buck converter supplying a nonlinear plasma arc load. Based on an averaged model of the converter inductor dynamics, the controller combines current-error feedback with feedforward compensation of the measured arc voltage. Online adaptation of the inductance and its effective series resistance compensates for converter-parameter uncertainty without requiring an online nonlinear arc model. A Lyapunov analysis establishes bounded estimation errors and asymptotic current tracking for the averaged closed-loop system under bounded-reference assumptions. Experiments with an argon plasma arc demonstrate contact-opening ignition and current-reference tracking under varying arc- voltage conditions, supporting the controller as a fast current-control layer for plasma applications.
ER  -