Model based wheel slip control via constrained optimal algorithm

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...

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Veröffentlicht in:2007 IEEE International Conference on Control Applications S. 1239 - 1246
Hauptverfasser: Dae Keun Yoo, Liuping Wang
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2007
Schlagworte:
Constraint optimization
Control system synthesis
Control systems
Distributed control
Optimal control
Predictive control
Predictive models
Torque control
Vehicle dynamics
Wheels
ISBN:9781424404421, 1424404428
ISSN:1085-1992
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Beschreibung
Zusammenfassung: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.
ISBN:9781424404421
1424404428
ISSN:1085-1992
DOI:10.1109/CCA.2007.4389405