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Design of a univariate dual-loop voltage system based on the multisampling method
  • +2
  • Jian Yu,
  • Yanlin Li,
  • Aohui Niu,
  • Zhiyuan Shi,
  • Yulong Hao
Jian Yu
Shanxi University School of Automation and Software
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Yanlin Li
Shanxi University School of Automation and Software

Corresponding Author:202323603017@email.sxu.edu.cn

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Aohui Niu
Shanxi University School of Automation and Software
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Zhiyuan Shi
Shanxi University School of Automation and Software
Author Profile
Yulong Hao
Shanxi University School of Automation and Software
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Abstract

This study presents an innovative control framework designed for voltage source inverters (VSIs) equipped with LC output filters. The primary objective of this control structure is to reduce delay and suppress aliasing by employing a voltage double-loop univariate active damping strategy.The stability of the system is degraded because the control delay limits the bandwidth of the system.It has been shown that although the multisampling method can effectively reduce the delay,it also suffers from the problems of pulse loss and multiple comparisons, which leads to significant aliasing and ultimately affects the output power quality.To solve this problem, a multiple notch filter with small phase delay is adopted to suppress aliasing.The optimal parameters of the system are determined by considering the filter parameters, filtering effect, output voltage ripple content, and system performance in combination with the actual filtering requirements and circuit size.Its effectiveness and performance are carefully verified by experimental results.
Submitted to International Journal of Circuit Theory and Applications
Submission Checks Completed
Assigned to Editor
Reviewer(s) Assigned
27 Jun 2024Review(s) Completed, Editorial Evaluation Pending
29 Jun 2024Reviewer(s) Assigned
29 Jul 2024Editorial Decision: Revise Major
09 Sep 20241st Revision Received
10 Sep 2024Submission Checks Completed
10 Sep 2024Assigned to Editor
10 Sep 2024Review(s) Completed, Editorial Evaluation Pending
13 Sep 2024Reviewer(s) Assigned