• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Chen, Weidong (Chen, Weidong.) [1] | Cai, Fenghuang (Cai, Fenghuang.) [2] (Scholars:蔡逢煌) | Lin, Qiongbin (Lin, Qiongbin.) [3] (Scholars:林琼斌) | Wang, Wu (Wang, Wu.) [4] (Scholars:王武)

Indexed by:

EI Scopus

Abstract:

In order to improve the dynamic responses of conventional repetitive control, a novel repetitive control combined with adaptive PI is proposed in this paper. The adaptive PI is a self-tuning method, which performs parameter adjustment based on the steepest descent method. The controller can adjust the PI parameters and calculate the new PI parameters in real time as the external working conditions changed. The performance of the proposed controller was assessed in dual-buck full-bridge single phase inverter system through simulation which run in PSIM software. The results show that the control scheme can not only obtain a stable output voltage waveform in steady state, but also adjust the PI parameters in real time when the given reference changed. It proves the effectiveness and practicability of the proposed method and provides a new voltage control scheme for dual-buck inverter. © 2020 Technical Committee on Control Theory, Chinese Association of Automation.

Keyword:

Computer software Controllers Electric inverters Steepest descent method

Community:

  • [ 1 ] [Chen, Weidong]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350116, China
  • [ 2 ] [Cai, Fenghuang]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350116, China
  • [ 3 ] [Lin, Qiongbin]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350116, China
  • [ 4 ] [Wang, Wu]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350116, China

Reprint 's Address:

Email:

Show more details

Version:

Related Keywords:

Related Article:

Source :

ISSN: 1934-1768

Year: 2020

Volume: 2020-July

Page: 6157-6161

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Online/Total:185/10051730
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1