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并联 DC-DC 变换器网络控制系统的信号量化研究

Translated title of the contribution: Research on signal quantization of parallel DC-DC converter network control system
  • Yanmin Wang
  • , Weiqi Zhang*
  • , Hanqing Zhang
  • , Yalong Yang
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • Anhui Jianzhu University

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the problem that the current sharing output performance of the parallel DC-DC converter network control system (NCS) is poor due to the inability to process lengthy signals in time, a uniform quantization design method of NCS is proposed based on sliding mode control (SMC) strategy. Taking the parallel buck converter as an example, the SM control system was designed first. Then the NCS with the SMC was designed by uniform quantization in the continuous domain, and the stability of the system was analyzed according to the quantization error. Considering the application of the parallel buck converter in practical digital control system, the discretization effect of uniform quantization SMC system was studied by using the zero-order hold and the stability conditions were given. Finally, simulations were used to analyze the output performance of the system under different parameters in the continuous and discrete domain, and it shows that the output performance of the system is optimal when the quantization step size and sampling time are 0. 1 and 0. 1 ms, respectively. Further experiments under the optimal parameters show that the designed uniform quantization SMC system can control the steady-state error of output voltage and equalizing current of parallel buck converter within 0. 117 V and 0. 008 A, respectively, which verifies the correctness of this paper.

Translated title of the contributionResearch on signal quantization of parallel DC-DC converter network control system
Original languageChinese (Traditional)
Pages (from-to)1-12
Number of pages12
JournalDianji yu Kongzhi Xuebao/Electric Machines and Control
Volume27
Issue number10
DOIs
StatePublished - Oct 2023
Externally publishedYes

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