DocumentCode :
2224080
Title :
Model based wheel slip control via constrained optimal algorithm
Author :
Yoo, Dae Keun ; Wang, Liuping
Author_Institution :
RMIT Univ., Melbourne
fYear :
2007
fDate :
1-3 Oct. 2007
Firstpage :
1239
Lastpage :
1246
Abstract :
The main focus of this paper is on the design and implementation of an antilock brake control system (ABS) for brake-by-wire (BBW) system using a generic model predictive control (MPC) scheme. The advent of BBW system offers a more accurate and continuous braking control, hence poses the possibility of introducing an advanced control algorithm for ABS system. The proposed algorithm aims to utilize this technology and the behavior of the model to optimize the wheel slip dynamics subject to system constraints. The final implementation of the controller embraces the decentralized control architecture of BBW system to independently control the brake torque at each four wheels. The performance of a wheel slip controller is validated through hardware-in-the-loop simulation (HiL), which consists of physical BBW brake calipers and the real-time nonlinear vehicle dynamic simulation model to accommodate the realistic brake-by-wire system.
Keywords :
brakes; decentralised control; nonlinear control systems; predictive control; road vehicles; vehicle dynamics; wheels; advanced control algorithm; antilock brake control system; brake-by-wire system; constrained optimal algorithm; continuous braking control; decentralized control architecture; generic model predictive control scheme; hardware-in-the-loop simulation; model based wheel slip control; real-time nonlinear vehicle dynamic simulation model; wheel slip dynamics; Constraint optimization; Control system synthesis; Control systems; Distributed control; Optimal control; Predictive control; Predictive models; Torque control; Vehicle dynamics; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0442-1
Electronic_ISBN :
978-1-4244-0443-8
Type :
conf
DOI :
10.1109/CCA.2007.4389405
Filename :
4389405
Link To Document :
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