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Author:

Liu, Yu (Liu, Yu.) | Peng, Feng (Peng, Feng.) | Hua, Zhen (Hua, Zhen.) | Liu, Changlong (Liu, Changlong.) | Zhao, Guoxin (Zhao, Guoxin.)

Indexed by:

EI Scopus

Abstract:

A pneumatic gravity compensation system is typically nonlinear in behavior. It is difficult to establish an accurate mathematical model for it, and it is particularly difficult to realize high-precision pressure control. A pneumatic gravity compensation system driven by a frictionless cylinder is built. Considering that the traditional model-free adaptive control is slow for pseudo-gradient identification, an improved model-free adaptive control is proposed to predict the changes in the pseudo gradient and accelerate the process of pseudo gradient identification. The static and dynamic gravity compensation of the pneumatic gravity compensation system is realized. Finally, the experimental results show that the steady-error of step response of the improved model-free adaptive controller is less than 200 Pa, and the rise time is approximately 13 seconds. The sinusoidal tracking error (0.04 Hz) is approximately 1.94 KPa. © 2020 Fuji Technology Press. All rights reserved.

Keyword:

Adaptive control systems Pneumatics

Author Community:

  • [ 1 ] [Liu, Yu]Information Engineering College, Beijing Institute of Petrochemical Technology, No.19 Qingyuan North Road, Daxing District, Beijing; 102617, China
  • [ 2 ] [Peng, Feng]Information Engineering College, Beijing Institute of Petrochemical Technology, No.19 Qingyuan North Road, Daxing District, Beijing; 102617, China
  • [ 3 ] [Hua, Zhen]Information Science Department, Beijing University of Technology, No.100 Pingleyuan, Chaoyang District, Beijing; 100022, China
  • [ 4 ] [Liu, Changlong]Information Engineering College, Beijing Institute of Petrochemical Technology, No.19 Qingyuan North Road, Daxing District, Beijing; 102617, China
  • [ 5 ] [Zhao, Guoxin]Information Engineering College, Beijing Institute of Petrochemical Technology, No.19 Qingyuan North Road, Daxing District, Beijing; 102617, China

Reprint Author's Address:

  • [hua, zhen]information science department, beijing university of technology, no.100 pingleyuan, chaoyang district, beijing; 100022, china

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Source :

Journal of Advanced Computational Intelligence and Intelligent Informatics

ISSN: 1343-0130

Year: 2020

Issue: 3

Volume: 24

Page: 357-365

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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