电液线控制动系统压力反步控制算法研究

doi:10.19562/j.chinasae.qcgc.2022.05.012

Abstract

Abstract:

In order to realize the accurate control of hydraulic pressure in brake-by-wire system， a new type of brake-by-wire system is developed in this paper. A control-oriented dynamics model of system is established through system dynamics analysis， and a backstepping control algorithm is designed based on that system model. A radial basis function network is used to approximate the characteristics of continuous function and estimate the non-linear friction， related to system state variables， as the compensation for backstepping controller， with the Lyapunov stability of the algorithm proved. An electro-hydraulic brake-by-wire test bench is built to conduct tests on several braking conditions and the results show that the control strategy designed can achieve the accurate control of hydraulic pressure in brake-by-wire system with fast response.

Key words: brake-by-wire, hydraulic pressure control, backstepping control, RBF neural network, Lyapunov stability

Qin Shi,Xin Liu,Helie Ying,Mingwei Wang,Zejia He,Lin He. Study on the Backstepping Control Algorithm for the Hydraulic Pressure in Electro-hydraulic Brake-by-wire System[J].Automotive Engineering, 2022, 44(5): 747-755.

Figures/Tables 9

参数	数值
制动主缸面积 $A c$ / mm²	0.000 35
制动液弹性模量 $β$ / MPa	1 700
制动液体密度 $ρ$ / （kg·m^-3）	1 046
主缸活塞最大行程 $L c$ / m	0.029
滚珠丝杠导程 $p h$ / m	0.01
同步带传动比 $k i$	3
电机转动惯量 $J p$ /（kg·m²）	0.003 31
主缸活塞质量 $m c$ / kg	0.3
流量线性化系数k	0.015

References 23

1	王景天.乘用车新型电子机械制动助力器变助力特性研究［D］.长春：吉林大学，2020.
	WANG Jingtian. Research on vehicle assisted characteristics of novel electro-mechanical brake booster for passenger cars ［D］. Changchun： Jilin University， 2020.
2	WU J， ZHANG H， HE R， et al. A mechatronic brake booster for electric vehicles： design， control， and experiment［J］. IEEE Transactions on Vehicular Technology， 2020， 69（7）： 7040-7053.
3	MENG B， YANG F， LIU J， et al. A survey of brake-by-wire system for intelligent connected electric vehicles［J］. IEEE Access， 2020.
4	胡志强. 新能源汽车电子机械助力制动系统解耦控制策略研究［D］.长春：吉林大学，2019.
	HU Zhiqiang. Research on decoupling control strategy of new energy vehicle equipped with electro-mechanical booster braking system ［D］. Changchun： Jilin University， 2019.
5	ZHAO X， LI L， WANG X， et al. Braking force decoupling control without pressure sensor for a novel series regenerative brake system［J］. Proceedings of the Institution of Mechanical Engineers， Part D： Journal of Automobile Engineering， 2019， 233（7）： 1750-1766.
6	YUAN Y， ZHANG J， LI Y， et al. A novel regenerative electrohydraulic brake system： development and hardware-in-loop tests［J］. IEEE Transactions on Vehicular Technology， 2018， 67（12）： 11440-11452.
7	HAN W， XIONG L， YU Z. Interconnected pressure estimation and double closed-loop cascade control for an integrated electrohydraulic brake system［J］. IEEE/ASME Transactions on Mechatronics， 2020， 25（5）： 2460-2471.
8	张伟业. 汽车电液制动系统设计及其控制方法的研究［D］.广州：华南理工大学，2020.
	ZHANG Weiye. Design and control method of automobile electro-hydraulic brake system［D］. Guangzhou： South China University of technology， 2020.
9	张东. 集成式电液制动系统控制方法及AEB避撞策略研究［D］.镇江：江苏大学，2020.
	ZHANG Dong. Study on the control method of integrated electro-hydraulic braking system and the strategy of AEB collision avoidance ［D］. Zhenjiang ：Jiangsu University， 2020.
10	熊璐，韩伟，余卓平，等.考虑关键非线性特征的集成式电子液压制动系统主缸液压力精确控制［J］.机械工程学报，2019，55（24）：117-126.
	XIONG L， HAN W， YU Z P， et al. Pressure precisely controlofmaster cylinderon integrated-electro-hydraulic brake system considering the critical nonlinear characteristics［J］. Journal of Mechanical Engineering， 2019， 55 （24）：117-126.
11	王治中. 分布式电液制动系统的设计与控制［D］.北京：清华大学，2014.
	WANG Z Z. Design and control of the distributed electro-hydraulic braking system［D］. Beijing ： Tsinghua University，2014.
12	TODESCHINI F， CORNO M， PANZANI G， et al. Adaptive cascade control of a brake-by-wire actuator for sport motorcycles［J］. IEEE/ASME Transactions on Mechatronics， 2014， 20（3）： 1310-1319.
13	上官文斌，梁土强，蒋开洪，等.集成式电液制动系统建模与压力控制方法研究［J］.北京理工大学学报，2019，39（4）：413-418.
	SHANGGUAN Wenbin，LIANG Tuqiang，JIANG Kaihong，et al.Modeling and pressure control of integrated electro-hydraulic brake system［J］.Transactions of Beijing Institute of Technology， 2019，39（4）：413-418.
14	YONG J， GAO F， DING N， et al. Pressure-tracking control of a novel electro-hydraulic braking system considering friction compensation［J］. Journal of Central South University， 2017， 24（8）： 1909-1921.
15	DARDANELLI A， ALLI G， SAVARESI S M. Modeling and control of an electro-mechanical brake-by-wire actuator for a sport motorbike［J］. IFAC Proceedings Volumes， 2010， 43（18）： 524-531.
16	何睿，吴坚，高吉.汽车电动助力制动系统摩擦建模与补偿控制［J］.汽车工程，2017，39（6）：683-688.
	HE Rui， WU Jian， GAO Ji. Modeling and compensation for friction in vehicle power assisted braking system［J］. Automotive Engineering， 2017， 39（6）： 683-688.
17	WANG X， WU X， CHENG S， et al. Design and experiment of control architecture and adaptive dual-loop controller for brake-by-wire system with an electric booster［J］. IEEE Transactions on Transportation Electrification， 2020， 6（3）： 1236-1252.
18	贺林，李飞龙，魏宇江，等.线控转向系统转角反步控制算法研究［J］.中国公路学报，2021，34（9）：567-578.
	HE L， LI Feilong， WEI Yujiang， et al. Backstepping control algorithm for steer-by-wire angle tracking［J］. China Journal of Highway and Transport， 2021， 34（9）：567-578.
19	郭小若. 电子液压制动系统设计及其关键技术研究［D］.杭州：浙江大学，2018.
	GUO Xiaoruo. Design of electronic-hydraulic brake system and research on its key technologies［D］. Hangzhou ： Zhejiang University， 2018.
20	LEWIS F L，DAWSON D M，ABDALLAH C T.Robot manipulator control： theory and practice［M］.Marcel Dekker，2004．
21	赵林峰，邵文彬，徐飞扬，等.基于反步法的自适应神经网络EPS摩擦补偿［J］.汽车工程，2018，40（12）：1454-1460.
	ZHAO L F， SHAO W B， XU F Y， et al. EPS friction compensation with adaptive neural network based on back-stepping method［J］. Automotive Engineering， 2018， 40（12）：1454-1460.
22	HAN Wei，XIONG Lu，YU Zhuoping. A novel pressure control strategy of an electro-hydraulic brake system via fusion of control signals［J］. Proceedings of the Institution of Mechanical Engineers， Part D： Journal of Automobile Engineering，2019，233（13）.
23	余卓平，王婧佳，熊璐，等.电液制动系统液压力控制［J］.控制理论与应用，2016，33（7）：897-902.
	YU Zhuoping， WANG Jingjia， XIONG Lu， et al. Hydraulic pressure control of electro-hydraulic brake system［J］.Control Theory and Applications，2016，33（7）：897-902.

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[3]	Liang Chu,Cheng Chang,Xu Wang,Di Zhao,Yanwu Xu. Research on Brake-by-Wire System and Pressure Control Algorithm for Advanced Automatic Driving [J]. Automotive Engineering, 2022, 44(3): 308-318.
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[6]	Yue Ren,Jie Ji,Ying Zhao,Yixiao Liang,Ling Zheng. Path Tracking Control of Intelligent Vehicle Based on Minimal Model Error Estimation [J]. Automotive Engineering, 2021, 43(4): 580-587.
[7]	Shi Qiujun, Li Jing. Anti-Rollover Control of Bus Based on Nonlinear Disturbance Estimation [J]. Automotive Engineering, 2020, 42(9): 1224-1231.
[8]	Su Shuhua, Chen Gang. Lateral Adaptive Backstepping Switching Control for Robot-driven Vehicles [J]. Automotive Engineering, 2020, 42(1): 11-19.
[9]	Hu Yuhui, Yue Xinyu, Wu Hongzhen & Xi Junqiang. Gear-shifting Control with Speed / Torque Double-synchronization for Hybrid Electric Vehicles [J]. , 2018, 40(9): 1076-1082.

Study on the Backstepping Control Algorithm for the Hydraulic Pressure in Electro-hydraulic Brake-by-wire System

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