Intelligent Suspension Fault-tolerant Control Considering Damping Force Loss and Preview Perception Deviation for Generalized Functional Safety

doi:10.3901/JME.260212

Abstract

Abstract: The analysis of actuator damping characteristics and accurate preview of the road ahead are crucial for the design of intelligent suspension control. Focusing on generalized functional safety, an intelligent suspension model predictive control considering damping force loss of the damper and preview perception deviation is proposed. A half-vehicle suspension dynamics model is built. Based on the characteristics of the electromagnetic valve damper, the impact of temperature changes in the electromagnetic valve coil on the damper performance is analyzed, and a damping force attenuation model for the electromagnetic valve damper is obtained. Based on augmented Kalman filtering, the elevation of the road ahead is estimated based on vehicle dynamics response to generate redundant information for road excitation. A preview information correction strategy is designed to correct the deviation of road elevation detection, and it is combined with the damping force attenuation model of the damper to construct an intelligent suspension fault-tolerant control strategy considering generalized functional safety. Through simulation and real vehicle test, the results show that the proposed intelligent suspension fault-tolerant strategy can compensate for the damping force loss of the damper, significantly reduce the adverse effects of road elevation detection deviation, and improve the fault-tolerant control performance of intelligent suspension for generalized functional safety, so as to guarantee the driving safety of intelligent vehicle.

Key words: intelligent suspension, generalized functional safety, damping force loss, preview deviation, fault-tolerant control

CLC Number:

U461

WANG Hongbo, CHEN Wuwei, FU Zhiwei, SUN Haitao. Intelligent Suspension Fault-tolerant Control Considering Damping Force Loss and Preview Perception Deviation for Generalized Functional Safety[J]. Journal of Mechanical Engineering, 2026, 62(8): 71-84.

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URL: http://www.cjmenet.com.cn/EN/10.3901/JME.260212

http://www.cjmenet.com.cn/EN/Y2026/V62/I8/71

References

[1] KUANG H,CHEN L,CHAN L L H,et al. Feature selection based on tensor decomposition and object proposal for night-time multiclass vehicle detection[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2018,49(1):71-80.
[2] 张聪,刘爽,赵丁选,等.多作动器协同的特种车辆主动悬架控制方法[J].机械工程学报,2025,61(8):228-239.ZHANG Cong,LIU Shuang,ZHAO Dingxuan,et al.Control method for active suspension of special vehicles with multi-actuator coordination[J]. Journal of Mechanical Engineering,2025,61(8):228-239.
[3] WU J,ZHOU H,LIU Z,et al. Ride comfort optimization via speed planning and preview semi-active suspension control for autonomous vehicles on uneven roads[J]. IEEE Transactions on Vehicular Technology,2020,69(8):8343-8355.
[4] 张雷,徐同良,李嗣阳,等.全线控分布式驱动电动汽车底盘协同控制研究综述[J].机械工程学报,2023,59(20):261-280.ZHANG Lei,XU Tongliang,LI Siyang,et al. Review of coordinated chassis control for all-x-by-wire distributed drive electric vehicles[J]. Journal of Mechanical Engineering,2023,59(20):261-280.
[5] 郭孔辉,张玉新,章新杰,等.液压减振器热-机耦合研究现状与展望[J].机械设计与研究,2014,30(3):108-112.GUO Konghui,ZHANG Yuxin,ZHANG Xinjie,et al.State of the art and prospects for thermo-mechanical coupling in hydraulic dampers[J]. Machine Design and Research,2014,30(3):108-112.
[6] 陈无畏,赵林峰,杨柳青,等.智能车辆容错控制技术及应用[M].北京:科学出版社,2021.CHEN Wuwei,ZHAO Linfeng,YANG Liuqing,et al.Fault-tolerant control technology and its application in intelligent vehicles[M]. Beijing:Science Press,2021.
[7] 杨柳青,陈无畏,汪洪波.基于H2/H∞控制的汽车主动悬架最优鲁棒容错控制[J].中国机械工程,2012,23(24):3013-3019.YANG Liuqing,CHEN Wuwei,WANG Hongbo. Optimal robust fault-tolerant control for vehicle active suspension based on H2/H∞control[J]. China Mechanical Engineering,2012,23(24):3013-3019.
[8] WANG H,WANG C,CHEN W,et al. Path tracking coordination control with TD3 reinforcement learning based on danger level recognition considering generalized functional safety[J]. IEEE Transactions on Vehicular Technology,2024,73(12):18498-18511.
[9] MORATO M M,SENAME O,DUGARD L,et al. Fault estimation for automotive electro-rheological dampers:LPV-based observer approach[J]. Control Engineering Practice,2019,85:11-22.
[10] PANG H,SHANG Y T,WANG P. Design of a sliding mode observer-based fault tolerant controller for automobile active suspensions with parameter uncertainties and sensor faults[J]. IEEE Access,2020,8:186963-186975.
[11] HO C M,KYOUNG K A. Design of an adaptive fuzzy observer-based fault tolerant controller for pneumatic active suspension with displacement constraint[J]. IEEE Access 2021,9:136346-136359.
[12] 夏光,陈无畏,唐希雯,等.新型电磁阀式减振器的仿真与试验研究[J].汽车工程,2012,34(11):999-1004.XIA Guang,CHEN Wuwei,TANG Xiwen,et al.Simulation and experimental study on a novel solenoid valve damper[J]. Automotive Engineering,2012,34(11):999-1004.
[13] LIU Q F,BO H L. Design and analysis of operation performance of parameters of the integrated valve under the high temperature condition[J]. Annals of Nuclear Energy,2014,71(9):237-244.
[14] THEUNISSEN J, TOTA A, GRUBER P, et al.Preview-based techniques for vehicle suspension control:A state-of-the-art review[J]. Annual Reviews in Control,2021,51:206-235.
[15] KIM J,LEE T,KIM C J,et al. Model predictive control of a semi-active suspension with a shift delay compensation using preview road information[J]. Control Engineering Practice,2023,137:105584.
[16] PAPADIMITRAKIS M, ALEX A. Active vehicle suspension control using road preview model predictive control and radial basis function networks[J]. Applied Soft Computing,2022,120:108646.
[17] THEUNISSEN J,SORNIOTTI A,GRUBER P,et al.Regionless explicit model predictive control of active suspension systems with preview[J]. IEEE Transactions on Industrial Electronics,2019,67(6):4877-4888.
[18] 陈潇凯,曾洺锴,刘向,等.基于VSL-MPC的半主动悬架预瞄控制研究[J].汽车工程,2022,44(10):1537-1546.CHEN Xiaokai,ZENG Mingkai,LIU Xiang,et al.Preview control of semi-active suspension based on VSL-MPC[J]. Automotive Engineering,2022,44(10):1537-1546.
[19] KUMAR P,LEWIS P,MCELHINNEY C P,et al. An algorithm for automated estimation of road roughness from mobile laser scanning data[J]. The Photogrammetric Record,2015,30(149):30-45.
[20] GAO Q,FAN L,WEI S,et al. Differences evaluation of pavement roughness distribution based on light detection and ranging data[J]. Applied Sciences,2023,13(14):8080.
[21] KIM G,LEE S Y,OH J S,et al. Deep learning-based estimation of the unknown road profile and state variables for the vehicle suspension system[J]. IEEE Access,2021,9:13878-13890.
[22] 席建中,张宁,韩成春.电磁阀线圈温度预测建模及耐温性判断[J].控制工程,2013,20(3):585-588.XI Jianzhong, ZHANG Ning, HAN Chengchun.Temperature prediction modeling for solenoid valve coil and temperature resistance judgment[J]. Control Engineering of China,2013,20(3):585-588.
[23] 全国汽车标准化技术委员会. GB/T 4970-2009汽车平顺性试验方法[S].北京:中国标准出版社,2010.National Technical Committee of Auto Standardization of China. GB/T 4970-2009,Test method for vehicle ride comfort[S]. Beijing:Standards Press of China,2010.