Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (4): 996-1006.doi: 10.13229/j.cnki.jdxbgxb.20221059

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Control strategy of lateral stability of semi-trailer train in dangerous section of cold area

Xue-jing DU(),Ning WANG,Jie ZHANG,Yu-long PEI   

  1. School of Traffic and Transportation,Northeast Forestry University,Harbin 150040,China
  • Received:2022-06-07 Online:2024-04-01 Published:2024-05-17

Abstract:

Aiming at the problems of folding, tail-flicking and rollover of the semi-trailer train in the dangerous section of the mountain highway in the cold area, taking a domestic semi-trailer train as the research object, the dynamic mathematics of the six-degree-of-freedom semi-trailer train is established based on the vehicle dynamics theory model. Using Truck-sim to complete the establishment of the semi-trailer train vehicle model and dangerous road section model, according to the principle of semi-trailer train rollover and yaw instability, determine the judgment conditions for semi-trailer train rollover and yaw instability. Taking the difference between the ideal state parameters and the actual state parameters of the semi-trailer train as the control target, a control strategy for the anti-rollover and yaw instability of the semi-trailer train based on the tinear quadratic regutator (LQR) control algorithm and differential braking is established with the help of Simulink. For a typical dangerous section of the expressway, changing the road adhesion coefficient corresponds to the road surface under different actual conditions. The scene reconstruction is completed by the co-simulation of Truck-sim and Simulink, and the simulation test of the proposed control strategy is carried out. The results show that: on the S-shaped curve of the K398-K406 section of the Hamu Expressway, when the road adhesion coefficients is 0.1, 0.25 and 0.35, the maximum value of the tractor roll angle can be reduced by 0.05°, 0.04° and 0.1 °. The maximum value of the trailer roll angle decreases by 0.04°, 0.01° and 0.1°. When the road adhesion coefficient is 0.35, the decrease range is the largest, which are 40% and 23.26% respectively. On the curved slope of the K273-K274 section of Hamu Expressway, when the road adhesion coefficient is 0.1, the control strategy effectively prevents the vehicle from rolling over. When the road adhesion coefficient is 0.25 and 0.35, the maximum value of the roll angle is reduced by 0.04° and 0.02° under the control strategy, corresponding to reductions of 16% and 3.92%. The control strategy can effectively reduce the peak value of lateral acceleration, yaw rate and roll angle of the tractor and semi-trailer, especially for the control of roll angle, which can avoid the danger of rolling over when the semi-trailer train is towed on the curved road in icy and snowy weather.

Key words: vehicle engineering, semi-trailer train, dangerous sections in cold area, lateral stability, control strategy

CLC Number: 

  • U461.6

Fig.1

Analysis of braking force of traction semi?trailer"

Table 1

Selection of target wheels in anti-rollover control strategy of semi-trailer train"

横向载荷

转移率

侧翻

方向

是否有侧翻危险牵引车目标车轮

挂车目标

车轮

LTR>01和35
LTR>0不制动不制动
LTR>02和46
LTR>0不制动不制动

Table 2

Selection of target wheels in anti-skid control strategy of semi-trailer train"

牵引车横摆角速度与理想横摆角速度的比较牵引车目标车轮挂车横摆角速度与理想横摆角速度的比较挂车目标车轮
ω1>0ω1s<ω12和4ω2>0ω2s<ω26
ω1>0ω1s>ω11和3ω2>0ω2s>ω25
ω1<0ω1s<ω12和4ω2<0ω2s<ω26
ω1<0ω1s>ω11和3ω2<0ω2s>ω25
ω1=0ω1s<ω12和4ω2=0ω2s<ω26
ω1=0ω1s>ω11和3ω2=0ω2s>ω25

Table 3

Key parameters of semi-trailer train"

参数名称符号参数值
牵引车总质量/kgm18 805
挂车总质量/kgm2140 000
牵引车尺寸/mla+wa+ha7.05+2.55+3.46
挂车尺寸/mlb+wb+hb13+2.5+3.65
牵引车轴距/ml1+l23.450+1.35
挂车轴距/ml3+l4+l56.38+1.31+1.31
挂车车轮轮距/mlt1.84
载荷质量/kgmg33 200
货物质心距地面高度/mhg2.285

Fig.2

Rollover instability determination module of semi-trailer train"

Fig.3

Yaw instability judgment module of the semi-trailer train"

Fig.4

LQR control model of semi-trailer train"

Fig.5

Road simulation model diagram"

Fig.6

Simulation results of curve driving when adhesion coefficient is 0.1"

Fig.7

Simulation results of curve driving when adhesion coefficient is 0.25"

Fig.8

Simulation results of curve driving when adhesion coefficient is 0.35"

Fig.9

Simulation results of curved slope when adhesion coefficient is 0.1"

Fig.10

Simulation results of curved slope when adhesion coefficient is 0.25"

Fig.11

Simulation results of curved slope when adhesion coefficient is 0.35"

1 You K S, Sun L. Reliability analysis of vehicle stability on combined horizontal and vertical alignments: driving safety perspective[J]. Journal of Transportation Engineering, 2013, 139(8): 804-813.
2 Kim K, Guan H, Wang B, et al. Active steering control strategy for articulated vehicles[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(6): 576-586.
3 Esmaeili N, Kazemi R. Development of the active disturbance rejection control method for increasing the stability of the long articulate vehicle[J]. Journal of Automobile Engineering, 2019, 233(13):3554-3576.
4 Michalek M. Agile maneuvering with intelligent articulated vehicles: a control perspective[J]. IFAC PapersOnLine, 2019, 52(8):458-473.
5 Kharrazi S, Lidberg M, Fredriksson J. Robustness analysis of a steering-based control strategy for improved lateral performance of a truck-dolly-semitrailer[J]. International Journal of Heavy Systems, 2015,22(1):1-20.
6 Jalali M, Hashemi E, Khajepour A, et al. Model predictive control of vehicle rollover with experimental verification[J]. Control Engineering Practice, 2018, 77: 95-108.
7 朱天军, 李飞, 宗长富, 等. 重型半挂车多目标稳定性控制策略[J]. 农业机械学报, 2011, 42(12): 32-37.
Zhu Tian-jun, Li Fei, Zong Chang-fu,et al. Multi-objective stability control strategy for heavy semi-trailers [J]. Transactions of the Chinese Society of Agricultural Machinery, 2011, 42(12): 32-37.
8 杨秀建,杨春曦,张弦,等. 基于主动制动的半挂汽车列车横摆稳定性控制[J]. 汽车工程, 2011, 33(11): 955-961.
Yang Xiu-jian, Yang Chun-xi, Zhang Xian, et al. Semi-trailer yaw stability control based on active braking[J]. Automotive Engineering, 2011, 33(11): 955-961.
9 Feng C, Ding N G,Heyn,et al. Integrated control of automobile ABS/DYC/AFS for improving braking performance and stability[J] .International Journal of Vehicle Design, 2015,67(3):259-293.
10 Riofrio A, Sanz S, Boada M J L, et al. A LQR-based controller with estimation of road bank for improving vehicle lateral and rollover stability via active suspension[J]. Sensors, 2017, 17(10): 2318-2318.
11 Shao K, Zheng J, Huang K, et al. Robust active steering control for vehicle rollover prevention[J]. International Journal of Modelling, Identification and Control, 2019, 32(1): 70-84..
12 Latif A R, Chalhoub N, Pilipchuk V. Control of the nonlinear dynamics of a truck and trailer combination[J].Nonlinear Dynamics, 2020, 99(4):2505-2526.
13 Kural K, Hatzidimitris P, Wouw N V D, et al. Active trailer steering control for high capacity vehicle combinations[J]. IEEE Transactions on Intelligent Vehicles, 2017, 2(4):251-265.
14 Abroshan M, Taiebat M, Goodarzi A, et al. Automatic steering control in tractor semi-trailer vehicles for low-speed maneuverability enhancement[J]. Journal of Multi-Body Dynamics, 2017, 231(1):83-102.
15 赵伟强,凌锦鹏,宗长富. 半挂式液罐车防侧翻控制策略开发[J]. 汽车工程, 2019, 41(1): 50-56.
Zhao Wei-qiang, Ling Jin-peng, Zong Chang-fu. Development of anti-rollover control strategy for semi-trailer tanker[J]. Automotive Engineering, 2019, 41(1): 50-56.
16 聂枝根,王万琼,宗长富,等. 基于线性变参数实时简化模型的重型半挂车稳定性控制策略[J]. 中国公路学报, 2018, 31(1): 128-136.
Nie Zhi-gen, Wang Wan-qiong, Zong Chang-fu, et al. Heavy-duty semi-trailer stability control strategy based on linear variable parameter real-time simplified model[J]. China Journal of Highway and Transport, 2018, 31(1): 128-136.
17 郭祥靖,孙攀,邓杰,等. 基于BP神经网络算法预测的重型半挂汽车列车AEB控制策略研究[J]. 汽车工程, 2021, 43(9): 1350-1359, 1366.
Guo Xiang-jing, Sun Pan, Deng Jie, et al. Research on AEB control strategy of a heavy tractor-semitrailer combination based on BP neural network algorithm prediction[J]. Automotive Engineering, 2021, 43(9):1350-1359, 1366.
18 刘春辉,关志伟,申荣卫,等. 四轮转向半挂汽车列车鲁棒最优保性能控制[J]. 现代制造工程, 2016(4): 69-73.
Liu Chun-hui, Guan Zhi-wei, Shen Rong-wei, et al. Robust and optimal guaranteed performance control for four-wheel steering semi-trailer trucks and trains[J]. Modern Manufacturing Engineering, 2016(4): 69-73.
19 孙文财, 李伟建, 张景海, 等. 基于液固双向耦合的罐式半挂车侧翻阈值辨识[J]. 吉林大学学报:工学版, 2020, 50(4): 1387-1395.
Sun Wen-chai, Li Wei-jian, Zhang Jing-hai, et al. Identification of rollover threshold value of tank semi-trailer based onliquid-solid coupling[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(4): 1387-1395.
20 徐飞翔, 周晨, 王军, 等. 基于变传动比的全轮线控转向车辆可拓H控制方法研究[J]. 中国公路学报, 2021, 34(9): 133-145.
Xu Fei-xiang, Zhou Chen, Wang Jun, et al. Extension control method for all-wheel steer-by-wire vehicles based on variable transmission ratio[J]. China Journal of Highway and Transport, 2021, 34(9): 133-145.
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