DocumentCode :
3525819
Title :
Electric rear axle torque vectoring for combined yaw stability and velocity control near the limit of handling
Author :
Siampis, Efstathios ; Massaro, Matteo ; Velenis, Efstathios
Author_Institution :
Dept. of Automotive Eng., Cranfield Univ., Cranfield, UK
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
1552
Lastpage :
1557
Abstract :
In this paper we propose a control architecture to stabilize a vehicle during cornering near the limit of lateral acceleration using the rear axle electric torque vectoring configuration of a hybrid vehicle. A vehicle model incorporating nonlinear tyre characteristics and coupling of tyre forces along longitudinal and lateral directions is used to calculate reference steady-state cornering conditions, as well as to design a linear controller with wheel slip ratio inputs. A backstepping controller then provides the necessary motor torques to achieve the wheel slip ratio requested by the linear controller. The controller provides stability of the lateral vehicle dynamics and regulates the longitudinal velocity to ensure feasibility of the reference trajectory.
Keywords :
acceleration control; axles; control system synthesis; hybrid electric vehicles; linear systems; mechanical stability; nonlinear control systems; torque control; trajectory control; tyres; vehicle dynamics; velocity control; wheels; backstepping controller; control architecture; electric rear axle torque vectoring; handling limit; hybrid vehicle; lateral acceleration; lateral directions; lateral vehicle dynamics; linear controller design; longitudinal directions; longitudinal velocity; motor torques; nonlinear tyre characteristics; reference steady-state cornering conditions; reference trajectory; tyre forces coupling; vehicle model; vehicle stability; velocity control; wheel slip ratio inputs; yaw stability; Force; Mathematical model; Steady-state; Tires; Torque; Vehicles; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760103
Filename :
6760103
Link To Document :
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