Abstract
This paper investigates the switching control issue for uncertain vehicle suspension systems, meanwhile, actuator failure is taken into account. Takagi-Sugeno (T-S) fuzzy model is utilized to describe the considered uncertain suspension systems. Consider that most existing analysis results related to suspension systems are independent of membership functions, which may cause conservatism, thus, a novel membership functions-dependent Lyapunov function is employed in the stability analysis. In the proposed analysis technique, both of the information of membership functions and their derivatives are applied to reduce the conservativeness. A switching control strategy is proposed to assure that suspension constraint requirements are satisfied by using the information of time-derivative of membership. Lastly, a simulation example is shown to identify the availability of the approach put forward in this paper.
Similar content being viewed by others
References
Na, J., Huang, Y., Wu, X., Su, S., Li, G.: Adaptive finite-time fuzzy control of nonlinear active suspension systems with input delay. IEEE Trans. Cybern. 50(6), 2639–2650 (2019)
Fei, Z., Wang, X., Liu, M., Yu, J.: Reliable control for vehicle active suspension systems under event-triggered scheme with frequency range limitation. IEEE Trans. Syst. Man Cybern. (2019). https://doi.org/10.1109/TSMC.2019.2899942
Na, J., Huang, Y., Pei, Q., Wu, X., Gao, G., Li, G.: Active suspension control of full-car systems without function approximation. IEEE/ASME Trans. Mech. 25(2), 779–791 (2020)
Gao, H., Sun, W., Shi, P.: Robust Sampled-Data \({H}_{\infty }\) control for vehicle active suspension systems. IEEE Trans. Control Syst. Technol. 18(1), 238–245 (2009)
Sun, W., Gao, H., Kaynak, O.: Finite frequency \({H}_{\infty }\) control for vehicle active suspension systems. IEEE Trans. Control Syst. Technol. 19(2), 416–422 (2010)
Li, H., Jing, X., Karimi, H.R.: Output-feedback-based \({H}_{\infty }\) control for vehicle suspension systems with control delay. IEEE Trans. Ind. Elect. 61(1), 436–446 (2013)
Zhang, Z., Zhou, Q., Wu, C., Li, H.: Dissipativity-based reliable interval type-2 fuzzy filter design for uncertain nonlinear systems. Int. J. Fuzzy Syst. 20(2), 390–402 (2018)
Li, W., Xie, Z., Zhao, J., Chu, S., Wong, P.K., Gao, J.: Improved adaptive event-triggered robust control for networked T-S fuzzy systems with asynchronous constraints. IEEE Trans. Cybern. (2020). https://doi.org/10.1109/TCYB.2020.2989404
Li, W., Xie, Z., Wong, P.K., Mei, X., Zhao, J.: Adaptive-event-triggered-based fuzzy nonlinear lateral dynamic control for autonomous electric vehicles under insecure communication networks. IEEE Trans. Ind. Elect. (2020). https://doi.org/10.1109/TIE.2020.2970680
Pan, Y., Du, P., Xue, H., Lam, H.K.: Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance. IEEE Trans. Fuzzy Syst. (2020). https://doi.org/10.1109/TFUZZ.2020.2999746
Zhu, Z., Pan, Y., Zhou, Q., Lu, C.: Event-triggered adaptive fuzzy control for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis. IEEE Trans. Fuzzy Syst. (2020). https://doi.org/10.1109/TFUZZ.2020.2973950
Du, P., Pan, Y., Li, H., Lam, H.K.: Nonsingular finite-time event-triggered fuzzy control for large-scale nonlinear systems. IEEE Trans. Fuzzy Syst. (2020). https://doi.org/10.1109/TFUZZ.2020.2992632
Xiao, W., Cao, L., Li, H., Lu, R.: Observer-based adaptive consensus control for nonlinear multi-agent systems with time-delay. Sci. China Inf. Sci. 63(3), 132202 (2020)
Du, P., Sun, K., Zhao, S., Liang, H.: Observer-based adaptive fuzzy control for time-varying state constrained strict-feedback nonlinear systems with dead-zone. Int. J. Fuzzy Syst. 21(3), 733–744 (2019)
Li, Q., Pan, Y., Zhang, Z., Lam, H.K.: Reliable dissipative interval type-2 fuzzy control for nonlinear systems with stochastic incomplete communication route and actuator failure. Int. J. Fuzzy Syst. 22(2), 368–379 (2020)
Tong, S., Min, X., Li, Y.: Observer-based adaptive fuzzy tracking control for strict-feedback nonlinear systems with unknown control gain functions. IEEE Trans. Cybern. (2020). https://doi.org/10.1109/TCYB.2020.2977175
Liang, Y., Li, Y., Che, W., Hou, Z.: Adaptive fuzzy asymptotic tracking for nonlinear systems with nonstrict feedback structure. IEEE Trans. Cybern. (2020). https://doi.org/10.1109/TCYB.2020.3002242
Hua, C., Li, Y., Guan, X.: Finite/fixed-time stabilization for nonlinear interconnected systems with dead-zone input. IEEE Trans. Autom. Control 62(5), 2554–2560 (2017)
Yao, D., Li, H., Lu, R., Shi, Y.: Distributed sliding mode tracking control of second-order nonlinear multi agent systems: An event-triggered approach. IEEE Trans. Cybern. (2019). https://doi.org/10.1109/TCYB.2019.2963087
Pan, Y., Yang, G.: Event-triggered fuzzy control for nonlinear networked control systems. Fuzzy Sets Syst. 329(15), 91–107 (2017)
Ma, H., Li, H., Lu, R., Huang, T.: Adaptive event-triggered control for a class of nonlinear systems with periodic disturbances. Sci. China Inf. Sci. 63(5), 1502121–15021215 (2020)
Wang, Y., Shen, H., Karimi, H.R., Duan, D.: Dissipativity-based fuzzy integral sliding mode control of continuous-time T-S fuzzy systems. IEEE Trans. Fuzzy Syst. 26(3), 1164–1176 (2017)
Zhang, D., Wang, Q., Yu, L.: Distributed non-fragile filtering for T-S fuzzy systems with event-based communications. Fuzzy Sets Syst. 306, 137–152 (2017)
Zhang, C., Hu, J., Qiu, J., Chen, Q.: Reliable output feedback control for T-S fuzzy systems with decentralized event triggering communication and actuator failures. IEEE Trans. Cybern. 47(9), 2592–2602 (2017)
Li, H., Jing, X., Lam, H.K., Shi, P.: Fuzzy sampled-data control for uncertain vehicle suspension systems. IEEE Trans. Cybern. 44(7), 1111–1126 (2013)
Sun, S., Tang, X., Yang, J., Ning, D., Du, H., Zhang, S., Li, W.: A new generation of magnetorheological vehicle suspension system with tunable stiffness and damping characteristics. IEEE Trans. Ind. Inf. 15(8), 4696–4708 (2019)
Tang, X., Du, H., Sun, S., Ning, D., Xing, Z., Li, W.: Takagi-Sugeno fuzzy control for semi-active vehicle suspension with a magnetorheological damper and experimental validation. IEEE/ASME Trans. Mech. 22(1), 291–300 (2016)
Guan, X., Chen, C.: Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays. IEEE Trans. Fuzzy Syst. 12(2), 236–249 (2004)
Wang, L., Lam, H.K.: A new approach to stability and stabilization analysis for continuous-time Takagi-Sugeno fuzzy systems with time delay. IEEE Trans. Fuzzy Syst. 26(4), 2460–2465 (2017)
Li, H., Liu, H., Gao, H., Shi, P.: Reliable fuzzy control for active suspension systems with actuator delay and fault. IEEE Trans. Fuzzy Syst. 20(2), 342–357 (2011)
Liu, B., Saif, M., Fan, H.: Adaptive fault tolerant control of a half-car active suspension systems subject to random actuator failures. IEEE/ASME Trans. Mech. 21(6), 2847–2857 (2016)
Mao, Z., Wang, Y., Jiang, B., Tao, G.: Fault diagnosis for a class of active suspension systems with dynamic actuators’ faults. Int. J. Control Autom. Syst. 14(5), 1160–1172 (2016)
Mrazgua, J., Ouahi, M.: Fuzzy fault-tolerant \({H}_{\infty }\) control approach for nonlinear active suspension systems with actuator failure. Proc. Computer Sci. 148, 465–474 (2019)
Li, H., Zhang, Z., Yan, H., Xie, X.: Adaptive event-triggered fuzzy control for uncertain active suspension systems. IEEE Trans. Cybern. 49(12), 4388–4397 (2018)
Li, S., Ahn, C.K., Xiang, Z.: Command filter based adaptive fuzzy finite-time control for switched nonlinear systems using state-dependent switching method. IEEE Trans. Fuzzy Syst. (2020). https://doi.org/10.1109/TFUZZ.2020.2965917
Li, S., Ahn, C.K., Xiang, Z.: Adaptive fuzzy control of switched nonlinear time-varying delay systems with prescribed performance and unmodeled dynamics. Fuzzy Sets Syst. 371, 40–60 (2019)
Liang, H., Zhang, Z., Ahn, C.K.: Event-triggered fault detection and isolation of discrete-time systems based on geometric technique. IEEE Trans. Circ. Syst. 67(2), 335–339 (2020)
Zhang, Z., Liang, H., Wu, C., Ahn, C.K.: Adaptive event-triggered output feedback fuzzy control for nonlinear networked systems with packet dropouts and actuator failure. IEEE Trans. Fuzzy Syst. 27(9), 1793–1806 (2019)
Liu, Y., Liu, X., Jing, Y., Li, X.: Annular domain finite-time connective control for large-scale systems with expanding construction. IEEE Trans. Syst. Man Cybern. (2019). https://doi.org/10.1109/TSMC.2019.2960009
Zhou, Q., Chen, G., Lu, R., Bai, W.: Disturbance-observer-based event-triggered control for multi-agent systems with input saturation. Sci. Sin. Inform. 49(11), 1502–1516 (2019)
Yang, D., Li, X., Qiu, J.: Output tracking control of delayed switched systems via state-dependent switching and dynamic output feedback. Nonlinear Anal. 32, 294–305 (2019)
Liang, H., Guo, X., Pan, Y., Huang, T.: Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers. IEEE Trans. Fuzzy Syst. (2020). https://doi.org/10.1109/TFUZZ.2020.2982618
Li, X., Yang, X., Huang, T.: Persistence of delayed cooperative models: impulsive control method. Appl. Math. Comput. 342, 130–146 (2019)
Liang, Z., Zhao, J., Dong, Z., Wang, Y., Ding, Z.: Torque vectoring and rear-wheel-steering control for vehicle’s uncertain slips on soft and slope terrain using sliding mode algorithm. IEEE Trans. Vehicular Technol. 69(4), 3805–3815 (2020)
Funding
This work was partially supported by the PhD Start-up Fund of Liaoning Province (2020-BS-239).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, Q., Pan, Y. & Liang, H. A Switching Control Approach for Uncertain Vehicle Suspension Systems with Actuator Failure. Int. J. Fuzzy Syst. 23, 322–333 (2021). https://doi.org/10.1007/s40815-020-00961-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40815-020-00961-3