DocumentCode :
176298
Title :
The design of TCS controller for four wheel independent-drive electric vehicle based on ADRC
Author :
Lei Yuan ; Hong Chen ; Bingtao Ren
Author_Institution :
Dept. of Control Sci. & Eng., Jilin Univ., Changchun, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
2638
Lastpage :
2643
Abstract :
In order to prevent the electric vehicle wheels from spinning out on low-friction coefficient [low-μ] roads, the electric vehicle traction control system (TCS) based on active disturbance rejection control (ADRC) is carried out in this paper. Firstly, we set an optimal longitudinal slip ratio as the control target, and consider the motor current and load torque as internal and external disturbance, which can be respectively observed by extended state observer. Secondly, design the electric vehicle TCS system in simulink by using the second order ADRC controllers. Besides, apply the advanced simulation software AMESim to build the four wheel independent-drive electric vehicle model with in-wheel motor structure. Then build the co-simulation model using AMESim and simulink, and adjust the parameters of the ADRC controller and electric vehicle model. Finally, we run the simulation on both the straight and steering low-μ road conditions and verify the effectiveness of the control algorithm.
Keywords :
automotive components; automotive engineering; electric vehicles; optimal control; wheels; TCS controller; active disturbance rejection control; advanced simulation software AMESim; control algorithm; cosimulation model; electric vehicle TCS system; electric vehicle traction control system; electric vehicle wheels; four wheel independent-drive electric vehicle model; in-wheel motor structure; low-friction coefficient roads; optimal longitudinal slip ratio; second order ADRC controllers; simulink; Acceleration; Electric vehicles; Permanent magnet motors; Roads; Simulation; Wheels; ADRC; Electric vehicle; Four wheel independent-drive; In-wheel motor; TCS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852619
Filename :
6852619
Link To Document :
بازگشت