Cited by 659Hydraulic and Pneumatic SystemsAdaptive Control of Nonlinear SystemsStability and Control of Uncertain Systems

Command filter-based adaptive fuzzy finite-time output feedback control of nonlinear electrohydraulic servo system

Li, Jiafeng, Ji, Ruihang, Liang, Xiaoling, Ge, Shuzhi Sam, Yan, Hao·2022·IEEE Transactions on Instrumentation and Measurement

Abstract

In this paper, the command filter-based adaptive fuzzy finite-time output feedback control (FOFC) is investigated for the Electro-hydraulic servo system. For the uncertainties in the system, we utilize the fuzzy logic systems (FLSs) to estimate these uncertain nonlinearities and fuzzy state observer is established to approximate the unmeasurable hydraulic cylinder stem speed and the internal cylinder force. Then, a command filter-based finite time output feedback control is proposed to achieve high tracking precision, where the tracking errors can be regulated into a small neighborhood around the equilibrium proved by the Lyapunov finite-time stability theory. Moreover, a command filter is introduced to avoid the explosion of complexity in the backstepping procedure, where a compensation mechanism is developed to compensate for filter errors. Finally, simulation results are provided to demonstrate the effectiveness of the proposed control.

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Registry

Crossref · 10.1109/tim.2022.3218574

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57 of 57 references verified0 citation errors · 0 not checkable

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  • Control algorithms using fuzzy logic systems or neural networks are usually computationally expensive because FLS relies on expert knowledge rules and NN requires online learning or offline training.

    “However, the control algorithms using FLS/NN are usually computationally expensive, since FLS relies heavily on the knowledge rules of expert and NN requires either online learning or offline training procedures to make the controller perform properly.”

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Authors
Li, J., Ji, R., Liang, X., Ge, S. S., & Yan, H.
Affiliations
  • Beijing Jiaotong University (CN)
  • National University of Singapore (SG)
Venue
IEEE Transactions on Instrumentation and Measurement
Published
2022
Volume
71
Pages
1-10
ISSN
  • 0018-9456 (ISSN-L)
  • 1557-9662
OpenAlex
W4313124175
Cited by
659
References
57
Citations by year
2026: 11 · 2025: 250 · 2024: 225 · 2023: 143 · 2022: 30
FWCI
61.11
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Instrumentation and Measurement (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
Keywords
electro-hydraulic servo system, command filter, adaptive fuzzy control, fuzzy observer, backstepping control, tracking precision

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