Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (10): 2741-2753.doi: 10.13229/j.cnki.jdxbgxb.20221134

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Optimal integrated control of longitudinal and lateral driving assistance systems

Yuan-de JIANG1(),Ming OUYANG1,Xiang-mo ZHAO1,Kong-jian QIN2(),Bing-bing ZHENG3   

  1. 1.School of Information Engineering,Chang′an University,Xi'an 710016,China
    2.China Automotive Technology and Research Center,Tianjin 300300,China
    3.AVIC Jonhon Optronic Technology Co. ,Ltd. ,Luoyang 471000,China
  • Received:2022-09-02 Online:2024-10-01 Published:2024-11-22
  • Contact: Kong-jian QIN E-mail:yuande_jiang@163.com;qinkongjian@catarc.ac.cn

Abstract:

In order to coordinate the longitudinal and lateral driving assistance systems and vehicle stability control objectives of intelligent driving vehicle, this paper proposes a vehicle integrated control strategy by integrating different driving assistance systems and vehicle stability control in a hierarchical model predictive control architecture to achieve the optimal distribution, taking the four-wheel independent drive electric vehicle as the plant. The upper layer calculates the generalized control force to meet the vehicle motion targets according to the decision results of the driving assistance strategies. The middle layer module includes two parts: the vehicle control targets prediction model and the numerical algorithm. And the desired vehicle tire forces can be obtained through the middle layer. The lower module decides the tire slip rate and slip angle according to the expected tire forces, and the tire forces are achieved by controlling the vehicle driving motor and the braking system, and the heading angle is regulated through the front wheel steering control system. Simulation and hardware-in-the-loop (HIL) verification results show that the proposed integrated control algorithm has good computation efficiency and the longitudinal and lateral control requirements of the vehicle can be ensured at the same time. Results show that the maximum errors of path tracking and velocity control are 0.011 7 m and 0.59 km/h, respectively.

Key words: vehicle engineering, longitudinal and lateral integrated control, optimal distribution, model predictive control, numerical algorithm

CLC Number: 

  • U471.1

Fig.1

Hierarchical control structure"

Fig.2

Prediction model structure of the vehicle control targets"

Fig.3

Diagram of vehicle force"

Table 1

Parameters of the vehicle"

参数数值
质量m/kg1 400
半轮距ls/m0.908
轮胎半径R/m0.325
质心高度hg/m0.54
转动惯量Iz /(kg·m21 536.7
车辆前轮侧偏刚度Cf/(N·rad-1-12 768
车辆后轮侧偏刚度Cr /(N·rad-1-6 936
质心到车前的距离Lf/m1.015
质心到后轴的距离Lr/m1.895

Table 2

Parameters of the control algorithm"

参数数值
cx,cy,cγ0.1
k11,?k120.22, 0.5
k21,?k221, 0.5
k31,?k3210, 1
L10
τFx0.1
τFy0.08
cii=1,2,3,42.5
WEdiag(500,500,…,500)
WΔudiag(10,10,…,10)

Fig.4

Vehicle states"

Fig.5

Performance of the control algorithm in DLC"

Fig.6

Performance of the control algorithm in Alt-3"

Fig.7

Performance of the vehicle dynamic control"

Fig.8

Structure of the HIL platform"

Fig.9

Testing scenario"

Fig.10

Results of vehicle speed and steering angle"

Fig.11

Results of lateral vehicle states (30 km/h)"

Fig.12

Results of vehicle speed"

Fig.13

Results of lateral vehicle states (50 km/h)"

Fig.14

Longitudinal states in car-following mode"

Fig.15

Lateral vehicle states"

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