Ellipsoidal-Based Robust Control for Vehicle Active Suspension Systems under Load Uncertainties and Network-Induced Interruptions
DOI:
https://doi.org/10.31181/rme442Keywords:
Networked Vehicle Active Suspension, Vibration Control, Secure Control, Robust Control, Irregular Road Excitation, Linear Matrix Inequality (LMI)Abstract
This paper presents a novel ellipsoidal-based robust control design for vehicle active suspension systems operating under uncertain load conditions and subject to denial-of-service (DoS) cyberattacks. The proposed controller leverages a networked control system (NCS) architecture and employs bilinear matrix inequalities (BMIs) reformulated into linear matrix inequalities (LMIs) to synthesize a secure and robust state-feedback law. The resulting invariant ellipsoidal set ensures stability by minimizing the impact of road-induced disturbances and cyber threats. Simulation results demonstrate the superiority of the proposed control scheme over traditional H ∞ methods in terms of stability and disturbance rejection. The approach enhances both riding comfort and control reliability in intelligent automotive applications.
References
Arumugam, K., & Chen, B.-S. (2024). Finite-time based fault-tolerant control for half-car active suspension system with cyber-attacks: A memory event-triggered approach. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2024.3386588
BAJABA, N., BAYOUMI, E., SOLIMAN, H., & APOZNYAK, A. (2024). ELLIPSOIDAL DESIGN OF SLIDING MODE CONTROL FOR CAR ACTIVE SUSPENSION SYSTEM. MM Science Journal, 2024(5). https://doi.org/10.17973/MMSJ.2024_11_2024036
Chen, H., & Guo, K.-H. (2005). Constrained Control of Active Suspensions: An LMI Approach. IEEE Transactions on Control Systems Technology, 13(3). https://doi.org/10.1109/TCST.2004.841661
Chibani, A., Chadli, M., Ding, S. X., & Braiek, N. B. (2018). Design of robust fuzzy fault detection filter for polynomial fuzzy systems with new finite frequency specifications. Automatica, 93, 42-54. https://doi.org/10.1016/j.automatica.2018.03.024
Gao, H., Sun, W., & Shi, P. (2010). Robust Sampled-Data H∞ Control for Vehicle Active Suspension Systems. IEEE Transactions on Control Systems Technology, 18(1), 238-245. https://doi.org/10.1109/TCST.2009.2015653
Guan, Y., Han, Q.-L., Yao, H., & Ge, X. (2018). Robust event-triggered H _ ∞ H∞ controller design for vehicle active suspension systems. Nonlinear Dynamics, 94, 627-638. https://doi.org/10.1007/s11071-018-4381-0
Khlebnikov, M. V., Polyak, B. T., & Kuntsevich, V. M. (2011). Optimization of linear systems subject to bounded exogenous disturbances: The invariant ellipsoid technique. Automation and Remote Control, 72, 2227-2275. https://doi.org/10.1134/S0005117911110026
Li, H., Jing, X., Lam, H.-K., & Shi, P. (2014). Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems. IEEE Transactions on Cybernetics, 44(7), 1111-1126. https://doi.org/10.1109/TCYB.2013.2279534
Li, P., Lam, J., & Cheung, K. C. (2014). Multi-objective control for active vehicle suspension with wheelbase preview. Journal of Sound and Vibration, 333(21), 5269-5282. https://doi.org/10.1016/j.jsv.2014.06.017
Mahmoud, M. S., Hamdan, M. M., & Baroudi, U. A. (2019). Modeling and control of cyber-physical systems subject to cyber attacks: A survey of recent advances and challenges. Neurocomputing, 338, 101-115. https://doi.org/10.1016/j.neucom.2019.01.099
Pan, H., Jing, X., Sun, W., & Gao, H. (2018). A Bioinspired Dynamics-Based Adaptive Tracking Control for Nonlinear Suspension Systems. IEEE Transactions on Control Systems Technology, 26(3), 903-914. https://doi.org/10.1109/TCST.2017.2699158
Poznyak, A. (2024). Robust Control: Supplementary Topics. Cambridge Scholars Publishing. http://cambridgescholars.com/product/978-1-0364-1664-5
Soliman, H. M., Al-Abri, R., & Albadi, M. (2018). Design of Robust Digital Pole Placer for Car Active Suspension with Input Constraint. Vibration Analysis and Control in Mechanical Structures and Wind Energy Conversion Systems, 23. https://doi.org/10.5772/intechopen.70587
Soliman, H. M., & Bajabaa, N. S. (2013). Robust guaranteed-cost control with regional pole placement of active suspensions. Journal of Vibration and Control, 19(8), 1170-1186. https://doi.org/10.1177/1077546312442901
Soliman, H. M., Benzaouia, A., & Yousef, H. (2016). Saturated robust control with regional pole placement and application to car active suspension. Journal of Vibration and Control, 22(1), 258-269. https://doi.org/10.1177/1077546314528230
Sun, X., Gu, Z., Yang, F., & Yan, S. (2021). Memory-event-trigger-based secure control of cloud-aided active suspension systems against deception attacks. Information Sciences, 543, 1-17. https://doi.org/10.1016/j.ins.2020.06.059
Viadero-Monasterio, F., Boada, B., Boada, M., & Díaz, V. (2022). H∞ dynamic output feedback control for a networked control active suspension system under actuator faults. Mechanical Systems and Signal Processing, 162, 108050. https://doi.org/10.1016/j.ymssp.2021.108050
Wang, G., Chen, C., & Yu, S. (2017). Robust non-fragile finite-frequency H∞ static output-feedback control for active suspension systems. Mechanical Systems and Signal Processing, 91, 41-56. https://doi.org/10.1016/j.ymssp.2016.12.039
Wang, G., & Zhou, Z. (2019). Design and implementation of H∞ miscellaneous information feedback control for vehicle suspension system. Shock and Vibration, 2019(1), 3736402. https://doi.org/10.1155/2019/3736402
Werner, H., Korba, P., & Yang, T. C. (2003). Robust tuning of power system stabilizers using LMI-techniques. IEEE Transactions on Control Systems Technology, 11(1), 147-152. https://doi.org/10.1109/TCST.2002.806449
Ye, Z., Ni, H., Xu, Z., & Zhang, D. (2020). Sensor fault estimation of networked vehicle suspension system with deny‐of‐service attack. IET Intelligent Transport Systems, 14(5), 455-462. https://doi.org/10.1049/iet-its.2019.0258
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