To reduce energy consumption in the active suspension, this paper proposes a new method for vehicle active suspension control. The energy consumption characteristics of the coupling system is analyzed. On this basis, a finite time controller based on unknown state estimation is proposed, and its global finite time convergence is proved, the upper limit of time convergence is given. Secondly, based on Analytic Hierarchy Process (AHP) and the force random walk PSO algorithm (FRWPSO), a multi-objective optimization function is constructed to determine the control parameters under different driving modes. Finally, simulation experiments show that under random road surfaces and triangular obstacles, the proposed control method can effectively improve suspension comfort and operational stability compared to nonsingular terminal sliding mode control (TSMC), The RMS values of energy consumption decreased by 55.34% and 20.55% respectively, verifying the effectiveness of the proposed control method.
WangWLiuSZhaoD, et al. Approximation-free output feedback control for hydraulic active suspensions with prescribed performance. Nonlinear Dyn2023; 111(23): 21673–21689.
2.
LiuZSiYSunW.Ride comfort oriented integrated design of preview active suspension control and longitudinal velocity planning. Mech Syst Signal Process2024; 208: 110992.
3.
NguyenDNNguyenTA.Proposing an original control algorithm for the active suspension system to improve vehicle vibration: adaptive fuzzy sliding mode proportional-integral-derivative tuned by the fuzzy (AFSPIDF). Heliyon2023; 9(3): e14210.
4.
ZengQZhaoJ.Adaptive switching control of active suspension systems: a switched system point of view. IEEE Trans Control Syst Technol2023; 32(2): 663–671.
5.
ZhaoJZhuYWongPK, et al. Non-fragile robust output feedback control of uncertain active suspension systems with stochastic network-induced delay. Nonlinear Dyn2023; 111(9): 8275–8291.
6.
ShiHZengJGuoJ.Disturbance observer-based sliding mode control of active vertical suspension for high-speed rail vehicles. Veh Syst Dyn2024; 62(11): 2912–2924.
7.
QinWLiuFYinH, et al. Constraint-based adaptive robust control for active suspension systems under the sky-hook model. IEEE Trans Ind Electron2021; 69(5): 5152–5164.
8.
WijayaAAYakubFAkmeliawatiR, et al. Natural logarithm sliding mode control for vibration control application. J Vib Control2023; 30(21-22): 5122–5131.
9.
HuangYNaJWuX, et al. Approximation-free control for vehicle active suspensions with hydraulic actuator. IEEE Trans Ind Electron2018; 65(9): 7258–7267.
10.
KoniecznyJSibielakMRączkaW.Active vehicle suspension with anti-roll system based on advanced sliding mode controller. Energies2020; 13(21): 5560.
11.
DingRWangRMengX, et al. Intelligent switching control of hybrid electromagnetic active suspension based on road identification. Mech Syst Signal Process2021; 152: 107355.
12.
WangRCQianY CDingRK, et al. Damping stiffness design and experimental research of hybrid electromagnetic suspension based on lqg. J Vib Shock2018; 37(3): 61–65.
13.
MengXHSuiZYDingRK, et al. Energy saving mechanism and experiment of hybrid electromagnetic active suspension based on improved canopy control. J Jiangsu Univ Nat Sci2020; 41(6): 627–633.
14.
SuiFXingDZZhouR.LQR control strategy for electromagnetic active suspension considering energy consumption. J Southwest Jiaotong Univ2023; 58(4): 754–760.
15.
BaiXHeG.Pseudo-active actuators: a concept analysis. Int J Mech Syst Dyn2021; 1(2): 230–247.
16.
YuMZhouCYWeiL, et al. H-infinity control of vehicle electro-hydraulic suspension system based on T-S fuzzy model. China J Highw Transp2018; 31(8): 205–217.
17.
ChenGJiangYTangY, et al. Pitch stability control of variable wheelbase 6WID unmanned ground vehicle considering tire slip energy loss and energy-saving suspension control. Energy2023; 264: 126262.
18.
DingSLiSLiQ.Stability analysis for a second-order continuous finite-time control system subject to a disturbance. J Contr Theor Appl2009; 7(3): 271–276.
19.
HongYHuangJXuY.On an output feedback finite-time stabilization problem. IEEE Trans Automat Contr2001; 46(2): 305–309.
20.
ZhangXFengGSunY.Finite-time stabilization by state feedback control for a class of time-varying nonlinear systems. Automatica2012; 48(3): 499–504.
21.
NiJKLiuCXLiuK, et al. Finite-time sliding mode synchronization of chaotic systems. Chin Phys B2014; 23(10): 100504.
22.
SunZYYunMMLiT.A new approach to fast global finite-time stabilization of high-order nonlinear system. Automatica2017; 81: 455–463.
23.
YuJShiPZhaoL.Finite-time command filtered backstepping control for a class of nonlinear systems. Automatica2018; 92: 173–180.
24.
XuKWangHLiuPX.Adaptive fuzzy finite-time tracking control of nonlinear systems with unmodeled dynamics. Appl Math Comput2023; 450: 127992.
25.
PanHSunW.Nonlinear output feedback finite-time control for vehicle active suspension systems. IEEE Trans Ind Inform2018; 15(4): 2073–2082.
26.
WangGChadliMBasinMV.Practical terminal sliding mode control of nonlinear uncertain active suspension systems with adaptive disturbance observer. IEEE/ASME Trans Mechatron2020; 26(2): 789–797.
27.
ZengQZhaoJ.Dynamic event-triggered-based adaptive finite-time neural control for active suspension systems with displacement constraint. IEEE Trans Neural Netw Learn Syst2022; 35(3): 4047–4057.
28.
GuoXZhangJSunW.Robust saturated fault-tolerant control for active suspension system via partial measurement information. Mech Syst Signal Process2023; 191: 110116.
29.
ZhangMJingXZhangL, et al. Toward a finite-time energy-saving robust control method for active suspension systems: exploiting beneficial state-coupling, disturbance, and nonlinearities. IEEE Trans Syst Man Cybern Syst2023; 53(9): 5885–5896.
30.
LevantA.Higher-order sliding modes, differentiation and output-feedback control. Int J Control2003; 76(9-10): 924–941.
31.
CuiXLiYFanJ, et al. A hybrid improved dragonfly algorithm for feature selection. IEEE Access2020; 8: 155619–155629.
32.
LiuWWangRRakhejaS, et al. Vibration analysis and adaptive model predictive control of active suspension for vehicles equipped with non-pneumatic wheels. J Vib Control2024; 30(13-14): 3207–3219.
