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author:

Du, H. (Du, H..) [1] | Lin, Z. (Lin, Z..) [2] | Zhang, Y. (Zhang, Y..) [3] | Chen, H. (Chen, H..) [4] | Xu, Z. (Xu, Z..) [5]

Indexed by:

Scopus

Abstract:

The optimal design of the mobile crossbeam falling motion control system is an important way to improve the stability of the composite hydraulic press. At present, the falling control strategy is mostly designed by the empirical method, which has the disadvantages of low efficiency and long time. In this paper, a nonlinear hydraulic control system model and three types of falling trajectory mathematical models are established for the mobile crossbeam falling motion control system. Based on the comparison of the motion characteristics of each trajectory, a cubic polynomial falling trajectory which can effectively suppress vibration is designed. This paper proposes a method of trajectory planning based on the spline interpolation function and optimizes the trajectory globally with an improved migration genetic algorithm; the optimized system ITAE index is improved by 49.56% compared with the uniform speed trajectory. The experimental results show that the optimized trajectory's vibration settling time is reduced by 62.91% and the maximum pressure fluctuation is reduced by 25.34% compared with the uniform speed trajectory. © 2019 IEEE.

Keyword:

Composite hydraulic press; improved migration genetic algorithm; pressure shock; trajectory optimization; variable-speed falling

Community:

  • [ 1 ] [Du, H.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350001, China
  • [ 2 ] [Du, H.]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, 350001, China
  • [ 3 ] [Lin, Z.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350001, China
  • [ 4 ] [Lin, Z.]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, 350001, China
  • [ 5 ] [Zhang, Y.]School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510006, China
  • [ 6 ] [Chen, H.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350001, China
  • [ 7 ] [Chen, H.]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, 350001, China
  • [ 8 ] [Xu, Z.]Fujian Haiyuan Composites Technology Co. Ltd., Fuzhou, 350002, China

Reprint 's Address:

  • [Du, H.]School of Mechanical Engineering and Automation, Fuzhou UniversityChina

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Source :

IEEE Access

ISSN: 2169-3536

Year: 2019

Volume: 7

Page: 39459-39473

3 . 7 4 5

JCR@2019

3 . 4 0 0

JCR@2023

ESI HC Threshold:150

JCR Journal Grade:1

CAS Journal Grade:2

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: 0

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