Adaptive Fuzzy Output Feedback Fault-Tolerant Control for Active Suspension Systems

被引：30
作者：
Li, Yongming [1 ]
Ma, Shuo [2 ]
Li, Kewen [1 ]
Tong, Shaocheng [1 ]
机构：
[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China
[2] Liaoning Univ Technol, Coll Elect Engn, Jinzhou 121001, Peoples R China
来源：
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES | 2024年 / 9卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Actuators; Electromagnetics; Suspensions (mechanical systems); Output feedback; Adaptive systems; Roads; Vibrations; Active suspension systems; adaptive fuzzy control; fault-tolerant control; fuzzy state observer;
D O I：
10.1109/TIV.2023.3272529
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel adaptive fuzzy output feedback fault-tolerant control (FTC) method is proposed for active suspension systems. The quarter active suspension systems studied in this paper contains electromagnetic actuator faults and unavailable state variables, such as the velocity of active suspensions and the electric current intensity of electromagnetic actuators. First, the complex spring nonlinear dynamics are approximated by fuzzy logic systems (FLSs), and the unmeasurable states are estimated by a fuzzy state observer. Based on an adaptive backstepping technique along with specific Lyapunov functions, a novel adaptive fuzzy output feedback FTC design is presented. To eliminate the need for knowing efficiency indexes, a fault compensation strategy is also developed by utilizing parameter estimation technique. In the presence of electromagnetic actuator failure, all vertical vibration states of the active suspension system remain stabilized. Eventually, the feasibility of the proposed control algorithm is evaluated through random road surface and bump road surface tests.
引用
收藏
页码：2469 / 2478
页数：10
相关论文
共 30 条
[1]   Constrained Model Predictive Control for Time-varying Delay Systems: Application to an Active Car Suspension [J].
Bououden, Sofiane ;
Chadli, Mohammed ;
Zhang, Lixian ;
Yang, Ting .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2016, 14 (01) :51-58
[2]   Distributed adaptive fault-tolerant control approach to cooperative output regulation for linear multi-agent systems [J].
Deng, Chao ;
Yang, Guang-Hong .
AUTOMATICA, 2019, 103 :62-68
[3]   Research on time-delay-dependent H∞/H2 optimal control of magnetorheological semi-active suspension with response delay [J].
Ding, Renkai ;
Wang, Ruochen ;
Meng, Xiangpeng ;
Chen, Long .
JOURNAL OF VIBRATION AND CONTROL, 2023, 29 (5-6) :1447-1458
[4]   Improving Vibration Performance of Electric Vehicles Based on In-Wheel Motor-Active Suspension System via Robust Finite Frequency Control [J].
Jin, Xianjian ;
Wang, Jiadong ;
He, Xiongkui ;
Yan, Zeyuan ;
Xu, Liwei ;
Wei, Chongfeng ;
Yin, Guodong .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (02) :1631-1643
[5]  
Li HY, 2019, IEEE T CYBERNETICS, V49, P4388, DOI [10.1109/TCYB.2018.2864776, 10.1109/TII.2018.2825225, 10.1109/ISBI.2018.8363757]
[6]   Neural Network Adaptive Output-Feedback Optimal Control for Active Suspension Systems [J].
Li, Yongming ;
Wang, Tiechao ;
Liu, Wei ;
Tong, Shaocheng .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (06) :4021-4032
[7]   Adaptive Fuzzy Fault-Tolerant Control of Nontriangular Structure Nonlinear Systems With Error Constraint [J].
Li, Yongming ;
Ma, Zhiyao ;
Tong, Shaocheng .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (04) :2062-2074
[8]   Finite time command filtered adaptive fault tolerant control for a class of uncertain nonlinear systems [J].
Li, Yuan-Xin .
AUTOMATICA, 2019, 106 :117-123
[9]   Cooperative Fault-Tolerant Control for Networks of Stochastic Nonlinear Systems With Nondifferential Saturation Nonlinearity [J].
Liang, Hongjing ;
Liu, Guangliang ;
Huang, Tingwen ;
Lam, Hak-Keung ;
Wang, Bohui .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (03) :1362-1372
[10]   Intelligent Control of Active Suspension Systems [J].
Lin, Jeen ;
Lian, Ruey-Jing .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (02) :618-628
123