Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (12): 3335-3341.doi: 10.13229/j.cnki.jdxbgxb.20220046

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Active disturbance rejection control of slip ratio based on antilock brake system brake bandwidth parameter tuning

Lei YUAN(),Ren HE()   

  1. School of Automobile and Traffic Engineering,Jiangsu University,Zhenjiang 212013,China
  • Received:2022-01-11 Online:2023-12-01 Published:2024-01-12
  • Contact: Ren HE E-mail:18796016197@163.com;heren1962@163.com

Abstract:

Aiming at the problems of non-linearity and uncertainty disturbance in slip rate control in the emergency braking process of automobiles, and the difference in the bandwidth characteristics of the braking system, the slip rate controller cannot be effectively applied to the actual vehicle. An implementation based on active disturbance rejection control method was proposed for setting the bandwidth parameters of the converter. First, the vehicle model and the ABS model were established. Secondly, an active disturbance rejection control with differential tracker was designed, state observer and error feedback controller were extended. Then, based on the ABS braking bandwidth parameters, the active disturbance rejection control parameters were adjusted. Finally, the slip rate control simulation analysis was carried out. The feasibility and effectiveness of the active disturbance rejection control method for ABS slip rate are verified. The results show that the method has clear physical meaning, simple parameter setting, strong portability, and can realize precise control of slip rate.

Key words: vehicle engineering, slip rate control, antilock brake system(ABS), active disturbance rejection control, actuator bandwidth, parameter tuning

CLC Number: 

  • U461.3

Fig.1

Schematic diagram of 1/4 vehicle braking model"

Table 1

Simulation parameters"

参数数值参数数值
mvs/kg415Cβ30 000
It/(kg·m2)1.7μ0.85
Cα/(N·rad)50 000b/m1.368
hcg/m0.7g/(m·s-29.8
εr/(s·m-10.015l/m2.5
R/m0.326mw/kg40

Fig.2

ωb=20 braking torque curve"

Fig.3

ωb=20 slip rate"

Fig.4

ωb=80 braking torque curve"

Fig.5

ωb=80 slip rate"

Fig.6

ωb=200 braking torque curve"

Fig.7

ωb=200 slip rate"

Fig.8

ωb=60 braking torque curve when braking torque suddenly changes"

Fig.9

ωb=60 slip rate when braking torque suddenly changes"

1 Li W, Du H, Li W. Four-wheel electric braking system configuration with new braking torque distribution strategy for improving energy recovery efficiency[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(1): 87-103.
2 王骏骋, 何仁. 面向全制动工况的液压制动双环预测控制策略[J]. 吉林大学学报: 工学版, 2020, 50(3): 820-833.
Wang Jun-cheng, HE Ren. Double-loop predictive control scheme of hydraulic braking system for all braking conditions[J]. Journal of Jilin University (Engineering and Technology Edition), 2020, 50(3): 820-833.
3 余卓平, 韩伟, 徐松云, 等. 电子液压制动系统液压力控制发展现状综述[J]. 机械工程学报. 2017, 53(14): 1-15.
Yu Zhuo-ping, Han Wei, Xu Song-yun, et al. Review on hydraulic pressure control of electro-hydraulic brake system[J]. Journal of Mechanical Engineering, 2017, 53(14): 1-15.
4 张家旭, 周时莹, 周洪亮, 等. 未知时变扰动下的车轮滑移率鲁棒非线性跟踪控制[J]. 东南大学学报: 自然科学版, 2020, 50(6): 1128-1133.
Zhang Jia-xu, Zhou Shi-ying, Zhou Hong-liang, et al. Robust nonlinear tracking control of wheel slip with unknown time-varying disturbance[J]. Journal of Southeast University(Philosophy and Social Science), 2020, 50(6): 1128-1133.
5 Mirzaei M, Mirzaeinejad H. Fuzzy scheduled optimal control of integrated vehicle braking and steering systems[J]. IEEE/ASME Transactions on Mechatronics, 2017, 22(5): 2369-2379.
6 Li S S, Guo L P, Zhang B C, et al. MPC-based slip control system for in-wheel-motor drive EV[J]. IFAC-PapersOnLine, 2018, 51(31): 578-582.
7 Sun J H, Xue X D, Cheng K W E. Fuzzy sliding mode wheel slip ratio control for smart vehicle anti-lock braking system[J]. Energies, 2019, 12(13): No. 22.
8 Han J. From PID to active disturbance rejection control[J]. IEEE Transactions on Industrial Electronics. 2009, 56(3): 900-906.
9 李向阳, 高志强. 抗扰控制中的不变性原理[J]. 控制理论与应用, 2020, 37(2): 236-244.
Li Xiang-yang, Gao Zhi-qiang. The invariance principle in disturbance rejection control[J]. Control Theory & Applications, 2020, 37(2): 236-244.
10 Gao Zhi-qiang. On the centrality of disturbance rejection in automatic control[J]. ISA Transactions, 2014, 53(4): 850-857.
11 李杰, 齐晓慧, 夏元清, 等. 线性/非线性自抗扰切换控制方法研究[J]. 自动化学报, 2016, 42(2): 202-212.
Li Jie, Qi Xiao-hui, Xia Yuan-qing, et al. On linear/nonlinear active disturbance rejection switching control[J]. Acta Automatica Sinica, 2016, 42(2): 202-212.
12 韩京清. 自抗扰控制技术:估计补偿不确定因素的控制技术[M]. 北京: 国防工业出版社, 2008.
13 Guo B Z, Zhao Z L. On the convergence of an extended state observer for nonlinear systems with uncertainty[J]. Systems & Control Letters, 2011, 60(6): 420-430.
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