The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Force Loading Tracking Control of an Electro-Hydraulic Actuator Based on a Nonlinear Adaptive Fuzzy Backstepping Control Scheme
Open accessAbstract
In this article, a nonlinear adaptive fuzzy backstepping controller combined with an adaptive backstepping controller and an adaptive fuzzy controller is proposed for real-time tracking control of an electro-hydraulic force loading system. Firstly, a nonlinear dynamic model for the electro-hydraulic force loading system is built with consideration of parameter uncertainties and external disturbances. Then, the adaptive backstepping controller is employed to obtain desired control output for the force loading control system considering parameter uncertainties and external disturbances. Furthermore, an adaptive fuzzy control scheme is designed to adjust uncertain control parameters based on adaptive fuzzy system to cope with the chattering condition that results from the overwhelming external disturbances. The stability of the overall system with the proposed control algorithm can be proved by Lyapunov stability theory. Finally, an electro-hydraulic force loading experimental system with xPC rapid prototyping technology is carried out to verify the effectiveness of the proposed nonlinear adaptive fuzzy backstepping controller. Experimental results verify that the proposed control method exhibit excellent performances on force loading tracking control of the electro-hydraulic force loading experimental system compared with a conventional proportional-integral-derivative (PID) controller with velocity feedforward and adaptive backstepping control schemes.
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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 [20]
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Cites
Yao, J., Jiao, Z., & Ma, D. (2014) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2304912 · Cited by 707 · cited 1×
“In literature [20], a nonlinear robust controller combined with an extended state observer using the backstepping method was presented for a hydraulic system with a position tracking controller.”
MethodHigh-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties
Yao, J., Jiao, Z., Ma, D., & Yan, L. (2013) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2013.2252360 · Cited by 511 · cited 3×
“In order to ensure the asymptotic tracking performance of a hydraulic rotary actuator, Yao [27] combined a robust integral of the sign of the error controller and an adaptive controller by employing the backstepping method with consideration of system uncertainties, such as parametric uncertainties and nonlinear frict…”
MethodSynchronization of Genesio chaotic system via backstepping approach
Park, J. H. (2005) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2005.05.001 · Cited by 269 · cited 1×
“Park [19] proposed a backstepping controller for synchronization of Genesio chaotic systems.”
BackgroundVibration Isolation for Active Suspensions With Performance Constraints and Actuator Saturation
Sun, W., Gao, H., & Kaynak, O. (2014) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2014.2319355 · Cited by 255 · cited 1×
“Su [22] proposed a constrained adaptive robust controller to stabilize the system amplitude with consideration of parameter uncertainties and external disturbances.”
BackgroundChen, Z., Yao, B., & Wang, Q. (2014) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2014.2369454 · Cited by 250
Li, Z., Janardhanan, M. N., Tang, Q., & Nielsen, P. (2016) · Advances in Mechanical Engineering · doi:10.1177/1687814016667907 · Cited by 236
Force control for hydraulic load simulator using self-tuning grey predictor – fuzzy PID
Truong, D. Q., & Ahn, K. K. (2008) · Mechatronics · doi:10.1016/j.mechatronics.2008.07.007 · Cited by 213
Guan, C., & Pan, S. (2008) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2007.908195 · Cited by 205
Observer-based backstepping force control of an electrohydraulic actuator
Nakkarat, P., & Kuntanapreeda, S. (2009) · Control Engineering Practice · doi:10.1016/j.conengprac.2009.02.011 · Cited by 149 · cited 2×
“Prut and Suwat [17] designed a nonlinear controller to guarantee the force tracking performance of an electro-hydraulic servo system by employing the backstepping approach.”
Wang, C., Jiao, Z., Wu, S., & Shang, Y. (2013) · Mechatronics · doi:10.1016/j.mechatronics.2013.11.005 · Cited by 85 · cited 1×
“Wang [23] proposed a nonlinear adaptive control method for force loading tracking control of an electro-hydraulic load simulator in the presence of an actuator’s motion destabilization and dynamic model nonlinearity due to parameter uncertainties.”
Method
Research works printed but not linked: 1
- Magdi, S. (2018). Mahmoud, Fuzzy Control, Estimation and Diagnosis, Springer International Publishing.
Cited by
Sorted by citations
Static and Dynamic Characterization and Control of a High-Performance Electro-Hydraulic Actuator
Sahu, G. N., Singh, S. K., Singh, A. P., & Law, M. (2020) · Actuators · doi:10.3390/act9020046 · Cited by 26
Nguyen, T. V., & Ha, C. (2019) · Energies · doi:10.3390/en12224337 · Cited by 23
Improved Third Order PID Sliding Mode Controller for Electrohydraulic Actuator Tracking Control
Ghani, M. F., Ghazali, R., Jaafar, H. I., Soon, C. C., Sam, Y. M., & Has, Z. (2022) · Journal of Robotics and Control (JRC) · doi:10.18196/jrc.v3i2.14236 · Cited by 22
Review of Development and Characteristics Research on Electro-hydraulic Servo System
Li, J., Kong, L., Liang, H., & Li, W. (2023) · Recent Patents on Engineering · doi:10.2174/1872212118666230711165517 · Cited by 19
Ren, H., Deng, G., Hou, B., Wang, S., & Zhou, G. (2019) · IEEE Access · doi:10.1109/access.2019.2941891 · Cited by 18
Metadata
- Authors
- Li, X., Zhu, Z.-C., Rui, G.-C., Cheng, D., Shen, G., & Tang, Y.
- Affiliations
- China University of Mining and Technology (CN)
- School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China
- Zhengzhou Institute of Mechanical and Electrical Engineering, Zhengzhou 450015, China
- Venue
- Symmetry
- Publisher
- MDPI AG
- Published
- 2018-05-11
- Volume
- 10
- Issue
- 5
- Pages
- 155
- ISSN
- 2073-8994 (ISSN-L)
- OpenAlex
- W2802710407
- Cited by
- 30
- References
- 36
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 1 · 2022: 6 · 2021: 4 · 2020: 4 · 2019: 6
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Symmetry (publishedVersion, cc-by)
- Funders
- National Basic Research and Development (973) Program of China (2014CB049404)
- National Natural Science Foundation of China (51575511)
- Program for Changjiang Scholars and Innovative Research Team in University (IRT_16R68)
- Fundamental Research Funds for the Central Universities in China (2015XKMS025)
- Priority Academic Program Development of Jiangsu Higher Education Institutions
- Qing Lan Project in Jiangsu province
- 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 › Dynamics and Control of Mechanical Systems
- Keywords
- electro-hydraulic actuator, adaptive backstepping control, adaptive fuzzy control, chattering reduction, parameter uncertainty, external disturbances, Lyapunov stability
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- Li, X., Zhu, Z.-C., Rui, G.-C., Cheng, D., Shen, G., & Tang, Y. (2018). Force Loading Tracking Control of an Electro-Hydraulic Actuator Based on a Nonlinear Adaptive Fuzzy Backstepping Control Scheme. Symmetry. https://doi.org/10.3390/sym10050155
