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AFS control system research of distributed drive electric vehicles by adaptive super-twisting sliding mode control.

Authors :
Chen, Qiping
Xiong, Zuqi
Hu, Yiming
Huang, Liang
Liu, Qin
You, Daoliang
Source :
Transactions of the Institute of Measurement & Control. Apr2024, Vol. 46 Issue 7, p1388-1396. 9p.
Publication Year :
2024

Abstract

To solve the problems of serious buffeting in traditional sliding mode control and difficulty in obtaining the derivative information of the system sliding mode surface, a distributed drive electric vehicles active front steering (AFS) control method based on adaptive super-twisting sliding mode control (ASTSMC) is proposed. Taking the yaw rate deviation as the state quantity, the stable and convergent sliding mode surface is designed to obtain the equivalent control input of the front wheel angle. The sliding mode function information is substituted into the parameters of the super-twisting algorithm; the discontinuous term is kept in the integrand function to keep the control signal continuous and weaken the system chattering; the adaptive control law is added to design the AFS controller. The co-simulation results of Matlab/Simulink and Carsim show that ASTSMC can reduce the yaw rate by 40.59% compared with no control under step steering condition. Compared with the sliding mode controller, ASTSMC has optimized the sideslip angle by 5.41% under the double line shifting condition. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01423312
Volume :
46
Issue :
7
Database :
Academic Search Index
Journal :
Transactions of the Institute of Measurement & Control
Publication Type :
Academic Journal
Accession number :
176004847
Full Text :
https://doi.org/10.1177/01423312231196400