Study on Intelligent Optimization Model of Porous Hydraulic Buffer

Authors

  • Yangbing Zheng 1College of Mechanical and Electronic Engineering, Nanyang Normal University, Nanyang 473061, Henan, China 2Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China
  • Xiao Xue School of Information Engineering, Nanyang Institute of Technology, Nanyang 473004, Henan, China
  • Jisong Zhang Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China

DOI:

https://doi.org/10.13052/ijfp1439-9776.2331

Keywords:

Optimization, porous hydraulic buffer, artificial fish swarm algorithm

Abstract

In order to improve the buffering performance of porous hydraulic buffer effectively, the artificial fish swarm algorithm is improved to carry out optimization analysis of porous hydraulic buffer. Firstly, theory model of porous hydraulic buffer is studied, and the optimal model of porous hydraulic buffer is established. Secondly, the improved artificial fish swarm algorithm is put forward through improving step size and fish swarm behaviour. Finally, the optimization simulation analysis of porous hydraulic buffer is carried out, and results show that the proposed artificial fish swarm algorithm can obtain better optimal effect, and improve the performance of porous hydraulic buffer.

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Author Biographies

Yangbing Zheng, 1College of Mechanical and Electronic Engineering, Nanyang Normal University, Nanyang 473061, Henan, China 2Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China

Yangbing Zheng, Associate Professor of control science and engineering, with Nanyang Normal University, Nanyang, China. She received her Bachelor of Engineering Science in Electronic Information Engineering from Nanyang Institute of Technology, Henan, China, in 2006; and the Doctor Degree of Engineering in detection technology and automatic equipment from China University of Mining and Technology, Beijing, China, in 2013, respectively. Her current research interests include active robot control, and nonlinear control.

Xiao Xue, School of Information Engineering, Nanyang Institute of Technology, Nanyang 473004, Henan, China

Xiao Xue, Associate Professor of School of Electronic and Electrical Engineering in Nanyang Institute of Technology, Nanyang, China. He received his Bachelor of Engineering Science in Electronic Information Engineering from Nanyang Institute of Technology, Henan, China, in 2003; the Doctor Degree of Engineering in detection technology and automatic equipment from China University of Geosciences, Wuhan, China, in 2015. His current research interests include Detection technology, and intelligent control.

Jisong Zhang, Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China

Jisong Zhang, President and Senior Engineer of Qinghai Wandong Ecological Environment Development Co.LTDzong. He has been engaged in the research of automatic control direction related to wolfberry planting.

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Published

2022-03-16

Issue

Section

Fluid Power Components & Systems