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author:

Du, Heng (Du, Heng.) [1] | Cheng, Youhui (Cheng, Youhui.) [2] | Huang, Shuwei (Huang, Shuwei.) [3] | Wu, Minghui (Wu, Minghui.) [4] | Huang, Hui (Huang, Hui.) [5] | Li, Yuzheng (Li, Yuzheng.) [6]

Indexed by:

EI

Abstract:

Heavy vehicle steering testboard has a key role to play in the fundamental research of heavy vehicle steering performance, and pressure control of electro-hydraulic servo loading system is the precondition and foundation for achieving accurate dynamic loading of heavy vehicle steering testboard. Commonly used proportional–integral–differential control easily fails to track target pressure signal with high amplitude and frequency, while integral sliding mode control is capable of realizing pressure tracking with high accuracy in engineering for its strong robustness and simplicity. A nonlinear mathematical model of electro-hydraulic servo loading system is established, including the nonlinear characteristics of valve-controlled cylinder system and tire elastic force, and an integral sliding mode controller is also designed in this paper. For further comparison and analyses, based on particle swarm optimization and integral of the time absolute error criterion, a proportional–integral–differential self-tuning controller of electro-hydraulic servo loading system is proposed as well, and the corresponding optimal proportional–integral–differential control gains are obtained. Both numerical simulation and experiment results confirm that, compared with proportional–integral–differential self-tuning control, integral sliding mode control can effectively suppress the disturbance of external loads and reach a better pressure tracking performance. © IMechE 2019.

Keyword:

Automobile steering equipment Controllers Dynamic loads High pressure engineering Particle swarm optimization (PSO) Pressure control Proportional control systems Self tuning control systems Sliding mode control Steering Three term control systems Tuning

Community:

  • [ 1 ] [Du, Heng]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Du, Heng]The Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 3 ] [Cheng, Youhui]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Cheng, Youhui]The Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 5 ] [Huang, Shuwei]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 6 ] [Huang, Shuwei]The Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 7 ] [Wu, Minghui]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 8 ] [Wu, Minghui]The Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 9 ] [Huang, Hui]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 10 ] [Huang, Hui]The Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 11 ] [Li, Yuzheng]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 12 ] [Li, Yuzheng]The Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [du, heng]the key laboratory of fluid power and intelligent electro-hydraulic control, fuzhou university, fuzhou, china;;[du, heng]school of mechanical engineering and automation, fuzhou university, fuzhou, china

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Source :

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

ISSN: 0954-4070

Year: 2020

Issue: 2-3

Volume: 234

Page: 458-468

1 . 4 8 4

JCR@2020

1 . 5 0 0

JCR@2023

ESI HC Threshold:132

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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