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author:

Li, Su (Li, Su.) [1] | Zhang, Zhizhong (Zhang, Zhizhong.) [2] | Ding, Kaiyi (Ding, Kaiyi.) [3] | Guo, Kun (Guo, Kun.) [4] | Zhao, Jingyi (Zhao, Jingyi.) [5] | Du, Heng (Du, Heng.) [6]

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EI

Abstract:

Low-frequency response, strong nonlinearity and unknown disturbances are the main challenges faced by the engineering application of the pump-controlled electro-hydraulic steering systems (EHSSs) for heavy vehicles. To solve the above problems, an active disturbance suppression controller is proposed based on a variable rate reaching law (VRRL) and a terminal sliding mode observer (TSMO) in the framework of the sliding mode control. This controller is unique because, the VRRL introduces a nonlinear activation function, which enables smooth switching between multiple reaching rates, effectively improving the response speed and the disturbance rejection performance of the pump-controlled EHSS. Furthermore, an adaptive incomplete disturbance compensation control strategy is proposed by incorporating a TSMO to further improve the accuracy and robustness of the steering system, which employs a VRRL-based TSMO to realize accurate estimation of the lumped disturbance in finite time, and avoids controller overcompensation by selecting a preferred disturbance compensation coefficient. The stability analysis demonstrates that the proposed controller effectively suppresses the lumped disturbance and reduces the convergence domain of the steering system. A pump-controlled EHSS experimental bench is constructed, and a series of experiments are conducted with various steering frequencies and load conditions, which validate the ability of the proposed controller to achieve high-precision dynamic steering in all-terrain conditions of the pump-controlled EHSS for heavy vehicles. © 2024 The Franklin Institute

Keyword:

Adaptive control systems Automobile steering equipment Controllers Disturbance rejection Electric loads Frequency response Pumps Sliding mode control Steering

Community:

  • [ 1 ] [Li, Su]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Li, Su]Key Laboratory of Fluid Power and Intelligent Electrohydraulic Control (Fuzhou University), Fujian Province University, Fuzhou; 350108, China
  • [ 3 ] [Zhang, Zhizhong]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Zhang, Zhizhong]Key Laboratory of Fluid Power and Intelligent Electrohydraulic Control (Fuzhou University), Fujian Province University, Fuzhou; 350108, China
  • [ 5 ] [Ding, Kaiyi]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Ding, Kaiyi]Key Laboratory of Fluid Power and Intelligent Electrohydraulic Control (Fuzhou University), Fujian Province University, Fuzhou; 350108, China
  • [ 7 ] [Guo, Kun]Zoomlion Heavy Industry Science And Technology Co.,LTD, Changsha; 410013, China
  • [ 8 ] [Zhao, Jingyi]Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao; 066004, China
  • [ 9 ] [Du, Heng]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 10 ] [Du, Heng]Key Laboratory of Fluid Power and Intelligent Electrohydraulic Control (Fuzhou University), Fujian Province University, Fuzhou; 350108, China

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Source :

Journal of the Franklin Institute

ISSN: 0016-0032

Year: 2024

Issue: 15

Volume: 361

3 . 7 0 0

JCR@2023

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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