Although robust active suspension control problem has been well studied, robust controller design considering unknown road surface recognition (such as speed bump detection) has not been fully solved. This paper developed a H∞(H-infinity) preview control method to complete the robust active control design for suspension systems, which uses the ideas of visual perception proposed for preview control. First, a novel detection approach of typical working conditions of urban road (speed bump pavement) based on YOLOV5 is developed using camera combined with image fitting technology. Then, an augmented system is constructed using the recognized speed bump information, so as to reformulate the active suspension control into a modified robust regulation problem. On this basis, the linear matrix inequalities (LMI) technique is introduced to develop the H∞ preview control of the suspension system. Finally, the efficiency of the proposed speed bump detection and H∞ preview control approach is verified by real vehicle testing and simulation, respectively.
FekryAROrabyWAHAliMA. Vehicle body pitch control through integration of MR damping system implemented in both vehicle suspension and front-end structure. Proc IMechE, Part D: J Automobile Engineering2023; 237(5): 1082–1092.
2.
GongMChenHZhaoD, et al. Active suspension control strategy of heavy rescue vehicle based on multi-sensor information fusion. Proc IMechE, Part D: J Automobile Engineering2023; 237(6): 1338–1352.
3.
NguyenTAIqbalJTranTTH, et al. Application of hybrid control algorithm on the vehicle active suspension system to reduce vibrations. Adv Mech Eng2024;16(3): 1–12.
4.
DridiIHamzaABenYN. A new approach to controlling an active suspension system based on reinforcement learning. Adv Mech Eng2023; 15(6): 1–21.
5.
LeeJHLeeSHKangDK, et al. Development of a 3D road profile measuring system for unpaved road severity analysis. Int J Precis Eng2017; 18: 155–162.
6.
KumarAGuptaMK. Generalized observer design of index one for descriptor systems with unknown inputs. Arch Control Sci2023; 33(1): 83–99.
7.
PrakashRDheerDK. Vehicle state estimation using a maximum likelihood based robust adaptive extended Kalman filter considering unknown white Gaussian process and measurement noise signal. ERX2023; 5(2): 25066.
8.
MorenoJA. High-order sliding-mode functional observers for multiple-input multiple-output (MIMO) linear time-invariant systems with unknown inputs. Int J Robust Nonlin2023; 33(15): 8844–8869.
9.
ImSJOhJSKimGW. Simultaneous estimation of unknown road roughness input and tire normal forces based on a long short-term memory model. IEEE Access2022; 10: 16655–16669.
10.
KimJLeeTKimCJ, et al. Model predictive control of a semi-active suspension with a shift delay compensation using preview road information. Control Eng Pract2023; 137: 105584.
11.
XieZCWongPKHuangXZ, et al. Design of an active vehicle suspension based on an enhanced PID control with wheelbase preview and tuning using genetic algorithm. J Chin Soc Mech Eng2012; 33(2): 103–112.
12.
RaoLWGNarayananS. Optimal response of half car vehicle model with sky-hook damper using LQR with look ahead preview control. J Braz Soc Mech Sci Eng2020; 42(9): 471.
13.
KwonBKangDYiK. Wheelbase preview control of an active suspension with a disturbance-decoupled observer to improve vehicle ride comfort. Proc IMechE, Part D: J Automobile Engineering2020; 234(6): 1725–1745.
14.
LiWXieZZhaoJ, et al. Static-output-feedback based robust fuzzy wheelbase preview control for uncertain active suspensions with time delay and finite frequency constraint. IEEE/CAA J Automatic2021; 8(3): 664–678.
15.
PapadimitrakisMAlexanderAA. Active vehicle suspension control using road preview model predictive control and radial basis function networks. Appl Soft Comput2022; 120: 108646.
16.
GongMDWangHHWangX. Active suspension control based on estimated road class for off-road vehicle. Math Probl2019; 1: 3483710.
17.
HuangCLvKXuQ, et al. Research on the multimode switching control of intelligent suspension based on binocular distance recognition. World Electr Veh J2023; 14(12): 340.
18.
QuanHXBohushRMaG, et al. People detecting and tracking in video by CNN YOLO and strong SORT combined algorithm. Nonlinear Phenom Complex Syst2023; 26(1): 83–97.
19.
LiJWTangHLiXD, et al. LEF-YOLO: a lightweight method for intelligent detection of four extreme wildfires based on the YOLO framework. Int J Wildland Fire2024; 33(1): WF23044.
20.
MaBFuZJRakhejaS, et al. Distracted driving behavior and driver’s emotion detection based on improved YOLOv8 with attention mechanism. IEEE Access2024; 12: 37983–37994.
21.
XuWBZhengXHTianQ, et al. Study of underwater large-target localization based on binocular camera and laser rangefinder. J Mar Sci Eng2024; 12(5): 734.
22.
FuZJDongXY. H∞ optimal control of vehicle active suspension systems in two time scales. Automatika2021; 62(2): 284–292.
23.
XingHPloegJNijmeijerH. Padé approximation of delays in cooperative ACC based on string stability requirements. IEEE Trans Intell Veh2016; 1(3): 277–286.
24.
JinXJWangJDYangJP. Development of robust guaranteed cost mixed control system for active suspension of In-Wheel-Drive electric vehicles. Math Probl Eng2022; 1: 4628539.
25.
HouJGCaoXTZhanCS. Symmetry control of comfortable vehicle suspension based on H∞. Symmetry (Basel)2022; 14(1): 171.
26.
MoradiSMAkbariAMirzaeiM. An offline LMI-based robust model predictive control of vehicle active suspension system with parameter uncertainty. T I Meas Control2019; 41(6): 1699–1711.
27.
MrazguaJTissirEOuahiM, et al. Reliable H∞ fuzzy control for fault-tolerant actuator failures of active suspension system. IFAC J Syst Control2024; 27: 100258.
28.
WuHJiangYJGuoD, et al. Robust preview control for half-vehicle active suspension system of hub-driven electric vehicles with coupling effects. Shock Vib2024; 1: 9904307.
29.
MannaSManiGGhildiyalS, et al. Ant colony optimization tuned Closed-Loop optimal control intended for vehicle active suspension system. IEEE Access2022; 10: 53735–53745.
30.
WangXJChengZMaNL. Road recognition based on vehicle vibration signal and comfortable speed strategy formulation using ISA algorithm. Sensors2022; 22(17): 6682.
31.
LiuQJHuBLiuW, et al. A fractional-order model predictive control strategy with Takagi–Sugeno fuzzy optimization for vehicle active suspension system. Fractal Fract2024; 8(10): 610.
