The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Optimal robust adaptive fuzzy backstepping control of electro-hydraulic servo position system
Abstract
In this paper, an optimal robust adaptive fuzzy backstepping control is presented to the position control of the electro-hydraulic servo (EHS) system in the presence of structured and unstructured uncertainties. Initially, the robust control using the backstepping technique is presented to overcome the existing uncertainties in the dynamic equations. Mathematical proof demonstrates that the closed-loop system in the presence of uncertainties has a global asymptotic stability. Then, to overcome the chattering problem, a very simple fuzzy approximator is presented where it approximates the bounds of the uncertainties. Although the proposed robust fuzzy backstepping control has a desirable performance, it has no mathematical analysis to prove the stability of the closed-loop system. Therefore, to solve this problem, the proposed fuzzy approximator has been transformed into a one-law adaptive fuzzy approximator with a single-input single-output fuzzy rule. Mathematical analysis illustrates that the closed-loop system in the presence of uncertainties has a global asymptotic stability under the proposed robust adaptive fuzzy backstepping control. Furthermore, a novel modified harmony search algorithm (MHSA) has been developed, by using the original harmony search algorithm (OHSA) as an optimization technique, to achieve the optimal values of the membership functions and the control coefficients. Finally, a comparative study has been conducted between the proposed control scheme under the MHSA and the OHSA, and other existing advanced control approaches to verify the effectiveness of the proposed control. Results show that the proposed control scheme under the MHSA can suppress the chattering problem and reduce the disturbances effectively while ensuring that the performance is tracked.
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“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.”
From Compensation Function Observer-Based Backstepping Sliding-Mode Control of Uncertain Electro-Hydraulic Servo System (2024) · cites this paper as [22]
Citations
Cites
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Robust adaptive precision motion control of hydraulic actuators with valve dead-zone compensation
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Sorted by citations
Jing, C., Zhang, H., Yan, B., Hui, Y., & Xu, H. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-09935-8 · Cited by 27
“Zaare [19] developed an optimal robust adaptive fuzzy backstepping control for the position control of EHCS, which adopted a very simple fuzzy approximator to approximate the bounds of the uncertainties.”
Amiri, F., & Khorashadizadeh, S. (2023) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312231203270 · Cited by 15
“Adaptive fuzzy controllers are very popular among intelligent controllers and many researches in this field have been conducted (Kelekci et al., 2022; Mawlani and Arbabtafti, 2022; Zaare and Soltanpour, 2022).”
BackgroundPan, C., Wang, Y., Yang, S. X., Li, Z., & Xiao, J. (2024) · Machines · doi:10.3390/machines12100719 · Cited by 16
Li, J., Lu, Y., He, J., Xie, P., & Li, Y. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3608156 · Cited by 6
“However, high-order model is unacceptable while controller realization [40], [41].”
Position Control of Electro-hydraulic Servo System Based on Repetitive Control Strategy
Zhang, B., Enyan, M., Junsen, R., Zhang, X., & Liu, H. (2024) · Recent Patents on Mechanical Engineering · doi:10.2174/0122127976288436240221060807 · Cited by 6
Metadata
- Authors
- Zaare, S., & Soltanpour, M. R.
- Affiliations
- Khatam University (IR)
- Shahid Sattari University of Aeronautical Engineering (IR)
- Corresponding author
- Zaare, Saeed
- Venue
- Transactions of the Institute of Measurement and Control
- Publisher
- SAGE Publications
- Published
- 2021-10-18
- Volume
- 44
- Issue
- 6
- Pages
- 1247-1262
- ISSN
- 0142-3312 (ISSN-L)
- 1477-0369
- OpenAlex
- W3206427180
- Cited by
- 20
- References
- 30
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 6 · 2023: 3
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transactions of the Institute of Measurement and Control (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
- Physical Sciences › Computer Science › Artificial Intelligence › Fuzzy Logic and Control Systems
- Keywords
- electro-hydraulic servo system, position control, robust adaptive fuzzy control, backstepping control, chattering reduction, global asymptotic stability, structured and unstructured uncertainties, membership function optimization, fuzzy approximator
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- Zaare, S., & Soltanpour, M. R. (2022). Optimal robust adaptive fuzzy backstepping control of electro-hydraulic servo position system. Transactions of the Institute of Measurement and Control. https://doi.org/10.1177/01423312211051496
