• Complex
  • Title
  • Author
  • Keyword
  • Abstract
  • Scholars
Search

Author:

Cao, Fulu (Cao, Fulu.)

Indexed by:

EI Scopus SCIE Download Full text

Abstract:

The latest development trend of direct-drive electro-hydraulic servo technology is discussed. The working principle, system model and system control theory of an electro-hydraulic servo system are studied. The dynamic behavior of the direct-drive electro-hydraulic servo system is highly nonlinear, structure uncertainty. Considering that the standard PID controller cannot fulfill all the demands, it is necessary to use advanced means for compensation. A PID controller optimized by genetic algorithm for an electro-hydraulic servo system direct driven by a permanent magnet synchronous motor is proposed. The genetic algorithm is applied to optimize the parameters of the PID controller. The simulation and experiment research of one direct-drive electro-hydraulic servo system are carried out to verify the response properties of the proposed controller. The step signal tracking responses of the servo system with different parameters of PID controller are, respectively, reported. In addition, a feedforward PID controller using genetic algorithm optimization is also designed for the direct-drive servo system. The simulation and experiment results show that the feedforward PID controller using genetic algorithm optimization has good dynamic response characteristics in the electro-hydraulic servo system based on a direct-drive permanent magnet synchronous motor. © 2018, The Natural Computing Applications Forum.

Keyword:

Direct drive electro-hydraulic servo systems Dynamic response characteristics Electro hydraulic servo system Genetic-algorithm optimizations Parameters optimization Permanent Magnet Synchronous Motor PID controllers System control theories

Author Community:

  • [ 1 ] [Cao, Fulu]School of Electrical Engineering, Xi’an Jiaotong University, Xi’an; 710049, China
  • [ 2 ] [Cao, Fulu]Department of Control Engineering, Xi’an Electronic Engineering Research Institute, Xi’an; 710100, China
  • [ 3 ] [Cao, Fulu] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
  • [ 4 ] [Cao, Fulu] Xian Elect Engn Res Inst, Dept Control Engn, Xian 710100, Peoples R China
  • [ 5 ] [Cao, Fulu]Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
  • [ 6 ] [Cao, Fulu]Xian Elect Engn Res Inst, Dept Control Engn, Xian 710100, Peoples R China

Reprint Author's Address:

  • [Cao, Fulu]School of Electrical Engineering, Xi’an Jiaotong University, Xi’an; 710049, China;;[Cao, Fulu]Department of Control Engineering, Xi’an Electronic Engineering Research Institute, Xi’an; 710100, China;;

Show more details

Related Keywords:

Related Article:

Source :

Neural Computing and Applications

ISSN: 0941-0643

Year: 2020

Issue: 1

Volume: 32

Page: 23-30

5 . 6 0 6

JCR@2020

5 . 6 0 6

JCR@2020

ESI Discipline: ENGINEERING;

ESI HC Threshold:59

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 12

SCOPUS Cited Count: 31

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

FAQ| About| Online/Total:310/168342176
Address:XI'AN JIAOTONG UNIVERSITY LIBRARY(No.28, Xianning West Road, Xi'an, Shaanxi Post Code:710049) Contact Us:029-82667865
Copyright:XI'AN JIAOTONG UNIVERSITY LIBRARY Technical Support:Beijing Aegean Software Co., Ltd.