Title :
Comparison of Feedback Control Techniques for Torque-Vectoring Control of Fully Electric Vehicles
Author :
De Novellis, Leonardo ; Sorniotti, A. ; Gruber, Patrick ; Pennycott, Andrew
Author_Institution :
Univ. of Surrey, Guildford, UK
Abstract :
Fully electric vehicles (FEVs) with individually controlled powertrains can significantly enhance vehicle response to steering-wheel inputs in both steady-state and transient conditions, thereby improving vehicle handling and, thus, active safety and the fun-to-drive element. This paper presents a comparison between different torque-vectoring control structures for the yaw moment control of FEVs. Two second-order sliding-mode controllers are evaluated against a feedforward controller combined with either a conventional or an adaptive proportional-integral-derivative (PID) controller. Furthermore, the potential performance and robustness benefits arising from the integration of a body sideslip controller with the yaw rate feedback control system are assessed. The results show that all the evaluated controllers are able to significantly change the understeer behavior with respect to the baseline vehicle. The PID-based controllers achieve very good vehicle performance in steady-state and transient conditions, whereas the controllers based on the sliding-mode approach demonstrate a high level of robustness against variations in the vehicle parameters. The integrated sideslip controller effectively maintains the sideslip angle within acceptable limits in the case of an erroneous estimation of the tire-road friction coefficient.
Keywords :
adaptive control; electric vehicles; feedback; feedforward; power transmission (mechanical); road safety; three-term control; torque control; variable structure systems; FEV; PID controller; active safety; adaptive proportional-integral-derivative controller; baseline vehicle; body sideslip controller; feedforward controller; fully electric vehicles; fun-to-drive element; integrated sideslip controller; powertrains; second-order sliding-mode controllers; sideslip angle; steady-state conditions; steering-wheel inputs; tire-road friction coefficient; torque-vectoring control structures; transient conditions; understeer behavior; vehicle handling; vehicle response enhancement; yaw moment control; yaw rate feedback control system; Acceleration; Feedforward neural networks; Friction; Mathematical model; Tires; Vehicle dynamics; Vehicles; Fully electric vehicle (FEV); Torque-vectoring control; fully electric vehicle; sideslip angle; torque-vectoring (TV) control; yaw rate;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2014.2305475