Cited by 97Hydraulic and Pneumatic SystemsControl Systems in EngineeringAdaptive Control of Nonlinear Systems

Feedback linearization-based position control of an electrohydraulic servo system with supply pressure uncertainty

Angue Mintsa, Honorine, Venugopal, Ravinder, Kenne, Jean-Pierre, Belleau, Christian·2012·IEEE Transactions on Control Systems Technology

Abstract

Electrohydraulic servo systems (EHSS) are used for several engineering applications, and in particular, for efficient handling of heavy loads. proportional-integral-differential (PID) control is used extensively to control EHSS, but the closed-loop performance is limited using this approach, due to the nonlinear dynamics that characterize these systems. Recent studies have shown that feedback linearization is a viable control design technique that addresses the nonlinear dynamics of EHSS; however, it is important to establish the robustness of this method, given that hydraulic system parameters can vary significantly during operation. In this study, we focus on supply pressure variations in a rotational electrohydraulic drive. The supply pressure appears in a square-root term in the system model, and thus, standard adaptive techniques that require uncertain parameters to appear linearly in the system equations, cannot be used. A Lyapunov approach is used to derive an enhanced feedback-linearization-based control law that accounts for supply pressure changes. Simulation results indicate that standard feedback-linearization based control is robust to EHSS parameter variations, providing significant improvement over PID control, and that the performance can be further improved using the proposed control law.

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Crossref · 10.1109/tcst.2011.2158101

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  • Linear control algorithms for electro-hydraulic servo systems only perform well under certain operating conditions and fail to achieve satisfactory performance in the presence of parameter perturbations, nonlinearities and disturbances.

    “The linear control algorithms, which are developed using conventional PID [11-14] or feedback linearization techniques [15,16], are simple and easy to implement in engineering. However, they only perform well under certain operating conditions, and fail to achieve satisfactory performance in the presence of aforementioned uncertainties, including parameter permutations, nonlinearities and disturb”

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Authors
Angue Mintsa, H., Venugopal, R., Kenne, J.-P., & Belleau, C.
Affiliations
École de Technologie Supérieure (CA)
Venue
IEEE Transactions on Control Systems Technology
Published
2012-07
Volume
20
Issue
4
Pages
1092-1099
ISSN
  • 1063-6536 (ISSN-L)
  • 1558-0865
OpenAlex
W2052678842
Cited by
97
References
27
Citations by year
2026: 2 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 9 · 2021: 8 · 2020: 5 · 2019: 12 · 2018: 5 · 2017: 13 · 2016: 5 · 2015: 10 · 2014: 6 · 2013: 4
FWCI
5.67
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Control Systems Technology (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
  • Physical Sciences › Engineering › Mechanical Engineering › Control Systems in Engineering
  • Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
Keywords
electro-hydraulic servo system, feedback linearization, position control, nonlinear system dynamics, Lyapunov-based control, parameter variation robustness, PID controller comparison

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