Vehicle stability control system based on active disturbance-rejection control strategy

被引:1
作者
Liu G. [1 ,2 ]
Jin L.-Q. [1 ]
Wang Y. [3 ]
机构
[1] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun
[2] Department of Automatic Control, Henan Institute of Technology, Xinxiang
[3] Yanshan University, Qinhuang Island
来源
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2016年 / 50卷 / 12期
关键词
Active disturbance rejection control (ADRC); Electronic stability control system; Hardware in loop simulation (HILS); Vehicle dynamics; Yaw moment control;
D O I
10.3785/j.issn.1008-973X.2016.12.007
中图分类号
学科分类号
摘要
The steering stability control strategy of traditional passager vehicle was investigated and an electronic stability control system based on hierarchical control strategy was designed to improve safety performance during vehicle driving. The control strategy insisted of reference model, UniTire model, parameter estimation model, desired parameter calculation model, active disturbance rejection control (ADRC) model, direct yaw moment distrubution and slip ratio regulation model. First of all, side slip angle was calculated using dynamics calculation method. Secondly, take the evaluated side slip angle and the yaw rate obtained by sensors as control variables. When the control variables exceeded threshold value, ADRC was adopted to calculate the yaw moment. In order to determine the target slip ratio, the relation between active yaw moment and wheel slip ratio was built up based on the UniTire model; the variable PID parameters were used to control slip ratio. Finally, hardware in loop simulation (HILS) was taken under single line and double line conditions. Results show that the proposed stability controller strategy can improve the vehicle's controllability and stability, making the control variable track the expectation closely. © 2016, Zhejiang University Press. All right reserved.
引用
收藏
页码:2289 / 2296and2379
相关论文
共 18 条
[1]  
Lin C., Peng C.-L., Cao W.-K., Sliding mode variable structure control for the stability of independent drive electric vehicle, Automotive Engineering, 37, 2, pp. 132-138, (2015)
[2]  
Xu J., Zhang Z., Li X., Et al., A fuzzy control system for the direct yaw moment of 4WD electric vehicles, Journal of Xi'an JiaoTong University, 48, 7, pp. 83-91, (2014)
[3]  
Zhou G.-C., Luo Y.-G., Li K.-Q., 4WD vehicle DYC based on tire longitudinal forces optimization distribution, Transactions of The Chinese Society for Agricultural Machinery, 40, 5, pp. 1-9, (2009)
[4]  
Xuan S.-Y., Song C.-X., Jin L.-Q., Et al., Multilevel robust PID control strategy for vehicle stabilitycontrol, Journal of Science Jilin University: Engineering Science, 40, 1, pp. 13-18, (2010)
[5]  
Yang P., Stability control strategy design and experiment of distributed electric drive vehicle, Journal of Mechanical Engineering, 49, 24, pp. 128-136, (2013)
[6]  
Fu H., Research on sideslip angle estimation and control algortihm for vehicle electronic stability system, (2008)
[7]  
Li L., Jia G., Chen J., Et al., A novel vehicle dynamics stability control algorithm based on the hierarchical strategy with constrain of nonlinear tyre forces, Vehicle System Dynamics, 53, 8, pp. 1093-1116, (2015)
[8]  
Chen Y., Hedrick J.K., Guo K., A novel direct yaw moment controller for in-wheel motor electric vehicles, Vehicle System Dynamics, 51, 6, pp. 925-942, (2013)
[9]  
Goodarzi A., Mohammadi M., Stability enhancement and fuel economy of the 4-wheel-drive hybrid electric vehicles by optimal tyre force distribution, Vehicle System Dynamics, 52, 4, pp. 539-561, (2013)
[10]  
Shuai Z., Zhang H., Wang J., Et al., Lateral motion control for four-wheel-independent-drive electric vehicles using optimal torque allocation and dynamic message priority scheduling, Control Engineering Practice, 24, 1, pp. 55-66, (2014)