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Developing control systems to improve motion tracking of electro-hydraulic systems subjected to external load

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Abstract

In this study, a state-of-the-art methodology for controlling an electro-hydraulic system is proposed. The aim is to achieve superior position tracking performance comparable to that of an electro-hydraulic servo valve system. To achieve this, a suite of linear and nonlinear control techniques—including PID, LQR, sliding mode, model predictive control (MPC), and neural network MPC controllers—are designed and tested based on system dynamics approximation. The controllers are optimized to effectively address the challenges posed by various loads, uncertainties, nonlinearities, internal leakage, chattering, and overshooting in the electro-hydraulic system. The proposed approach is both practical and effective, as demonstrated by simulation and experimental results. Comparative analysis reveals that the neural network MPC controller exhibits exceptional tracking performance and stability, with a smooth response and quick settling time.

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Data availability

We acknowledge the requirement of a data availability statement for this journal. The data used in our study, including sensor calibration data, LabVIEW files and experimental results, can be obtained from the repository mentioned in the article. Researchers can access and analyze this data to validate and build upon our findings.

Code availability

We have ensured the availability of the code related to our research. Researchers can find the code in the repository mentioned above. It includes LabVIEW files, MATLAB files, and the Position Figures Generator code, which facilitate the implementation, analysis, and visualization of the control systems for electro-hydraulic systems.

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Funding

This research received no external funding.

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Authors and Affiliations

  1. Mechatronics Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt

    Omar Hesham Khedr, Shady A. Maged & Mohammed Ibrahim Awad

  2. Mechanical Department, Faculty of Engineering, Galala University, Cairo, Egypt

    Affaf Khamis Al-Oufy

Authors
  1. Omar Hesham Khedr
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  2. Shady A. Maged
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  3. Affaf Khamis Al-Oufy
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  4. Mohammed Ibrahim Awad
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Contributions

M.I.A. contributed to Conceptualization; O.H.K. contributed to practical work; S.A.M contributed methodolog; A.K.A.-O contributed to Resources.; S.A.M. contributed to validation; O.H.K. contributed to writing—original draft preparation; O.H.K. contributed to writing—review and editing; M.I.A., A.K.A.-O. and S.A.M contributed to supervision. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Omar Hesham Khedr.

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Conflict of interest

The authors declare no conflict of interest.

Availability of data and material

The data and material associated with our research are available in the repository mentioned in the article. Researchers can access and download the code, data, and resources from the following link: https://github.com/Omar-H-Khedr/Advanced-Control-Systems-for-Enhanced-Motion-Tracking-in-Electro-Hydraulic-Systems.git.

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Khedr, O.H., Maged, S.A., Al-Oufy, A.K. et al. Developing control systems to improve motion tracking of electro-hydraulic systems subjected to external load. Int. J. Dynam. Control 12, 761–773 (2024). https://doi.org/10.1007/s40435-023-01228-z

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  • DOI: https://doi.org/10.1007/s40435-023-01228-z

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