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

author:

Bao, Guanghai (Bao, Guanghai.) [1] | Zhang, Peiming (Zhang, Peiming.) [2]

Indexed by:

EI Scopus

Abstract:

This paper introduce the technology of electromotor control and protective electrical appliance intelligent, using the artificial fish swarm algorithm (AFSA) which is based on genetic algorithm to optimize the calculate of the intelligent ac contactor. According to the result of optimization design, we have made a showpiece, after the test and experimentation of the prototype; finally we got results as follow: firstly, the disjunction time of the ac contactor has been largely reduced. Secondly, the stability of the breaking time of the three-phase terminals has been greatly improved. Thirdly, the reliability of zero-current breaking also has been obviously enhanced. Controllable and protective appliance can optimize the control of the ac contactor during the period of start process, close process and break process. Especially, when we use zero-current breaking technology, we realized the three-phase contact terminals break with little arc, besides, the electromotor protector included these protective function characters such as: overvoltage, under- voltage, blocked, overload, unbalanced, lose phase and etc. It can display the time of the line voltage and the three phase current of the electromotor and it can realize intercommunication with the host computer. ©2010 IEEE.

Keyword:

Electric contactors Genetic algorithms

Community:

  • [ 1 ] [Bao, Guanghai]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhang, Peiming]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

Show more details

Version:

Related Keywords:

Related Article:

Source :

Year: 2010

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Online/Total:88/10109802
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