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Adaptive sliding fault tolerant control for nonlinear uncertain active suspension systems. (English) Zbl 1395.93153

Summary: This paper is concerned with the fault tolerant control problem of nonlinear uncertain active suspension systems with constraint requirements. A novel adaptive sliding fault tolerant controller, which does depend on accurate models, is designed to stabilize the active suspension systems and thus to improve the ride comfort, without utilizing the bounds of actuator faults and parameter uncertainties. Furthermore, an \(H_\infty\) optimization scheme based on differential evolution (DE) algorithm and linear matrix inequalities (LMIs) is introduced to design appropriate parameters of the sliding surface, which guarantees the constraint requirements of active suspension systems. Finally, simulation results are included to illustrate the effectiveness of the proposed strategy.

MSC:

93B12 Variable structure systems
93C40 Adaptive control/observation systems
93C10 Nonlinear systems in control theory
93C41 Control/observation systems with incomplete information
93B36 \(H^\infty\)-control
93C95 Application models in control theory
93B51 Design techniques (robust design, computer-aided design, etc.)
Full Text: DOI

References:

[1] Hrovat, D., Applications of optimal control to advance automotive suspension design, Automatica, 115, 2B, 328-342, (1993)
[2] Marzbanrad, J.; Ahmadi, G.; Zohoor, H.; Hojjat, Y., Stochastic optimal preview control of a vehicle suspension, J. Sound Vib., 275, 3-5, 973-990, (2004) · Zbl 1236.93153
[3] Thompson, A. G.; Davis, B. R., Computation of the rms state variables and control forces in a half-car model with preview active suspension using spectral decomposition methods, J. Sound Vib., 285, 3, 571-583, (2005)
[4] Guo, L. X.; Zhang, L. P., Robust H_{∞} control of active vehicle suspension under non-stationary running, J. Sound Vib., 331, 26, 5824-5837, (2012)
[5] Du, H. P.; Zhang, N., H_{∞} control of active vehicle suspensions with actuator time delay, J. Sound Vib., 301, 1-2, 236-252, (2007) · Zbl 1242.93041
[6] Gaspar, P.; Szaszi, I.; Bokor, J., Design of robust controllers for active vehicle suspension using the mixed μ synthesis, Veh. Syst. Dyn., 40, 4, 193-228, (2003)
[7] Gao, H. J.; Lam, J.; Wang, C. H., Multi-objective control of vehicle active suspension systems via load-dependent controllers, J. Sound Vib., 290, 3-5, 654-675, (2006)
[8] Huang, S. J.; Lin, W. C., Adaptive fuzzy controller with sliding surface for vehicle suspension control, IEEE Trans. Fuzzy Syst., 11, 4, 550-559, (2003)
[9] Yoshimura, T., A semi-active suspension of passenger cars using fuzzy reasoning and the field testing, Int. J. Veh. Des., 19, 2, 150-166, (1998)
[10] Alleyne, A.; Hedrick, J. K., Nonlinear adaptive control of active suspensions, IEEE Trans. Control Syst. Technol., 3, 1, 94-101, (1995)
[11] Rajamani, R.; Hedrick, J. K., Adaptive observers for active automotive suspensions: theory and experiment, IEEE Trans. Control Syst. Technol., 3, 1, 86-93, (1995)
[12] Nurkan, Y.; Yuksel, H., Backstepping control of a vehicle with active suspensions, Control Eng. Pract., 16, 12, 1457-1467, (2008)
[13] Huang, S. J.; Chen, H. Y., Adaptive sliding controller with self-tuning fuzzy compensation for vehicle suspension control, Mechatronics, 16, 10, 607-622, (2006)
[14] Huang, C. J.; Lin, J. S.; Chen, C. C., Road-adaptive algorithm design of half-car active suspension system, Expert Syst. Appl., 37, 6, 4392-4402, (2010)
[15] Yang, L. U.; Chen, W. W.; Wang, H. B., Optimal robust fault control for vehicle active suspension system based on H_{2}/H_{∞} approach, China Mech. Eng., 23, 24, 3013-3019, (2012)
[16] Li, H.; Gao, H.; Liu, H.; Liu., M., Fault-tolerant H_{∞} control for active suspension vehicle systems with actuator faults, Proc. Inst. Mech. Eng., 226, 348-363, (2012)
[17] Yang, L.; Chen, W., Active fault tolerant control of vehicle active suspension based on sensor signal reconstruction, Autom. Eng., 35, 12, 1084-1091, (2013)
[18] P. Gáspár, Z. Szabó, J. Bokor, The design of a reconfigurable suspension control system based on an FDI filter, In: Proceedings of the 16th Mediterranean Conference on Control and Automation, 2008, pp. 445-450.
[19] Sam, Y. M.; Osman, J. H.S.; Ghani, M. R.A., A class of proportional-integral sliding mode control with application to active suspension system, Syst. Control Lett., 51, 3-4, 217-223, (2004) · Zbl 1157.93339
[20] Chen, P. C.; Huang, A. C., Adaptive sliding control of non-autonomous active suspension systems with time-varying loadings, J. Sound Vib., 282, 3-5, 1119-1135, (2005)
[21] Lin, J.; Lian, R. J.; Huang, C. N.; Sie, W. T., Enhanced fuzzy sliding mode controller for active suspension systems, Mechatronics, 19, 7, 1178-1190, (2009)
[22] Deshpande, V. S.; Mohan, B.; Shendge, P. D.; Phadke, S. B., Disturbance observer based sliding mode control of active suspension systems, J. Sound Vib., 333, 11, 2281-2296, (2014)
[23] Sun, W.; Pan, H.; Zhang, Y.; Gao, H., Multi-objective control for uncertain nonlinear active suspension systems, Mechatronics, 24, 318-327, (2014)
[24] Pan, H.; Sun, W.; Gao, H.; Hayat, T.; Alsaadi, F., Nonlinear tracking control based on extended state observer for vehicle active suspensions with performance constraints, Mechatronics, 30, 363-370, (2014)
[25] Sun, W.; Gao, H.; Kaynak, O., Adaptive backstepping control for active suspension systems with hard constraints, IEEE/ASME Trans. Mechatron., 18, 3, 1072-1079, (2013)
[26] Chen, H.; Guo, K. H., Constrained H_{∞} control of active suspensions: an LMI approach, IEEE Trans. Control Syst. Technol., 13, 3, 412-421, (2005)
[27] Prempain, E.; Postlethwaite, I., Static output feedback stabilization with H_{∞} performance for a class of plants, Syst. Control Lett., 43, 3, 159-166, (2001) · Zbl 0974.93054
[28] Storn, R.; Price, K., Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces, J. Glob. Optim., 11, 4, 341-359, (1997) · Zbl 0888.90135
[29] Storn, R., System design by constraint adaptation and differential evolution, IEEE Trans. Evol. Comput., 3, 1, 22-34, (1999)
[30] Gong, W.; Cai, Z.; Yang, J.; Li, X.; Jian, L., Parameter identification of an SOFC model with an efficient, adaptive differential evolution algorithm, Int. J. Hydrog. Energy, 39, 10, 5083-5096, (2014)
[31] Liu, B.; Wang, L.; Jin, Y. H.; Huang, D. X.; Tang, F., Control and synchronization of chaotic systems by differential evolution algorithm, Chaos Soliton Fractals, 34, 2, 412-419, (2007) · Zbl 1134.93331
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