Feedback linearization-based position control of an electrohydraulic servo system with supply pressure uncertainty
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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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”
From Compensation Function Observer-Based Backstepping Sliding-Mode Control of Uncertain Electro-Hydraulic Servo System (2024) · cites this paper as [15]
Cites
Slotine, J.-J. E., & Li, W. (1991) · CERN Document Server (European Organization for Nuclear Research) · Cited by 18,937 · see citing works
Ioannou, P., & Sun, J. (1995) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.1984.4171550 · Cited by 5,789 · see citing works
Merritt, H. E., & Pomper, V. (1968) · Journal of Applied Mechanics · doi:10.1115/1.3601167 · Cited by 2,632 · see citing works
Nonlinear adaptive control of active suspensions
Alleyne, A. G., & Hedrick, J. K. (1995) · IEEE Transactions on Control Systems Technology · doi:10.1109/87.370714 · Cited by 552 · see citing works
Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters
Guan, C., & Pan, S. (2008) · Control Engineering Practice · doi:10.1016/j.conengprac.2008.02.002 · Cited by 363 · see citing works
A simplified approach to force control for electro-hydraulic systems
Alleyne, A. G., & Liu, R. (2000) · Control Engineering Practice · doi:10.1016/s0967-0661(00)00081-2 · Cited by 276 · see citing works
Guan, C., & Pan, S. (2008) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2007.908195 · Cited by 205 · see citing works
Kaddissi, C., Kenné, J., & Saad, M. (2007) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2006.886190 · Cited by 189 · see citing works
Sliding mode control with varying boundary layers for an electro-hydraulic position servo system
Chen, H., Renn, J.-C., & Su, J.-P. (2005) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-004-2145-0 · Cited by 174 · see citing works
Sliding Mode Control with Adaptive Fuzzy Dead-Zone Compensation of an Electro-hydraulic Servo-System
Bessa, W. M., Dutra, M. S., & Kreuzer, E. J. (2009) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-009-9342-x · Cited by 100 · see citing works
Feedback linearization based control of a rotational hydraulic drive
Seo, J., Venugopal, R., & Kenné, J. (2007) · Control Engineering Practice · doi:10.1016/j.conengprac.2007.02.009 · Cited by 87 · see citing works
Self-citationApplication of Nonlinear Adaptive Control Techniques to an Electrohydraulic Velocity Servomechanism
Garagić, D., & Srinivasan, K. (2004) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2003.822485 · Cited by 52 · see citing works
Digitally Controlled Simple Shear Apparatus for Dynamic Soil Testing
Duku, P. M., Stewart, J. P., Whang, D., et al. (2007) · Geotechnical Testing Journal · doi:10.1520/gtj100518 · Cited by 40 · see citing works
A Derivative Estimation Toolbox based on Algebraic Methods - Theory and Practice
Zehetner, J., Reger, J., & Horn, M. (2007) · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications · doi:10.1109/cca.2007.4389252 · Cited by 34 · see citing works
YANADA, H., & Furuta, K. (2007) · Mechatronics · doi:10.1016/j.mechatronics.2007.04.007 · Cited by 30 · see citing works
Feedback Linearization Control of a Hydraulic Servo System
Kwon, J.-H., Kim, T.-H., Jang, J., et al. (2006) · SICE-ICASE International Joint Conference · doi:10.1109/sice.2006.315470 · Cited by 28 · see citing works
Pole placement control of an electrohydraulic servo motor
Lim, T.-H. (2002) · IEEE International Conference on Power Electronics and Drive Systems (PEDS) · doi:10.1109/peds.1997.618729 · Cited by 28 · see citing works
Ayalew, B., & Jablokow, K. (2007) · IET Control Theory and Applications · doi:10.1049/iet-cta:20060186 · Cited by 25 · see citing works
Angue-Mintsa, H., Venugopal, R., Kenné, J., et al. (2011) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4004776 · Cited by 25 · see citing works
Self-citationModeling supply and return line dynamics for an electrohydraulic actuation system
Ayalew, B., & Kułakowski, B. T. (2005) · ISA Transactions · doi:10.1016/s0019-0578(07)60207-9 · Cited by 16 · see citing works
Variable structure control for electrohydraulic position servo system
Ghazy, M. A. (2002) · Proceedings of the Annual Conference of the IEEE Industrial Electronics Society · doi:10.1109/iecon.2001.975634 · Cited by 16 · see citing works
Feedback Linearization of Nonlinear Systems
Nijmeijer, H., & van der Schaft, A. J. (1990) · Springer eBooks · doi:10.1007/978-1-4757-2101-0_6 · Cited by 15 · see citing works
Robust indirect adaptive control ofthe electrohydraulic velocity control systems
Yu, W., & Kuo, T.-S. (1996) · IEE Proceedings - Control Theory and Applications · doi:10.1049/ip-cta:19960519 · Cited by 12 · see citing works
Adaptive control of an electrohydraulic position servo system
Mintsa, H. A., Kenné, J., & Venugopal, R. (2009) · doi:10.1109/afrcon.2009.5308385 · Cited by 12 · see citing works
Self-citationThe system bandwidth analysis in electro-hydraulic servo system with PDF control
Tang, M., & Chen, L. (2004) · Cited by 6 · see citing works
A Derivative Estimation Toolbox based on Algebraic Methods - Theory and Practice
Zehetner, J., Reger, J., & Horn, M. (2007) · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications · doi:10.1109/isic.2007.4359746 · Cited by 5 · see citing works
Adaptive backstepping type control for electrohydraulic servos
Ursu, F., Ursu, I., & Munteanu, E. (2007) · 2006 14th Mediterranean Conference on Control and Automation · doi:10.1109/med.2007.4433843 · Cited by 1 · see citing works
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Yao, J., Deng, W., & Sun, W. (2017) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2688353 · Cited by 124 · see citing works
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Feng, L., & Yan, H. (2020) · Applied Sciences · doi:10.3390/app10134494 · Cited by 51 · see citing works
Nguyen, M. H., Dao, H. V., & Ahn, K. K. (2023) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.6421 · Cited by 48 · see citing works
Phan, V. D., Vo, C. P., Dao, H. V., & Ahn, K. K. (2021) · IEEE Access · doi:10.1109/access.2021.3101038 · Cited by 44 · see citing works
Pan, C., Wang, Y., Yang, S. X., Li, Z., & Xiao, J. (2024) · Machines · doi:10.3390/machines12100719 · Cited by 16 · see citing works
Liang, Q.-K., Cai, Y., Song, J.-C., & Wang, B.-L. (2024) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312231189770 · Cited by 3 · see citing works
- 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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