共 41 条
MPC-based yaw and lateral stabilisation via active front steering and braking
被引:281
作者:
Falcone, Paolo
[1
]
Tseng, H. Eric
[2
]
Borrelli, Francesco
[3
]
Asgari, Jahan
[2
]
Hrovat, Davor
[2
]
机构:
[1] Chalmers Univ Technol, Dept Signals & Syst, S-41296 Gothenburg, Sweden
[2] Ford Res Labs, Dearborn, MI USA
[3] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA
关键词:
vehicle dynamics control;
model predictive control;
autonomous vehicles;
D O I:
10.1080/00423110802018297
中图分类号:
TH [机械、仪表工业];
学科分类号:
0802 ;
摘要:
In this paper, we propose a path following Model Predictive Control-based (MPC) scheme utilising. steering and braking. The control objective is to track a desired path for obstacle avoidance manoeuvre by a combined use of braking and steering. The proposed control scheme relies on the Nonlinear MPC (NMPC) formulation we used in [F. Borrelli. et al, WC-based approach to active steering for autonomous vehicle systems, Int. J. Veh. Autonomous Syst. 3(2/3/4) (2005). pp. 265-29L] and [P. Falcone. et al., Predictive active steering control for autonomous vehicle systems, I FEE Tran.. Control Syst. Technol. 15(3) (2007), pp. 566-580.]. In this work, the NMPC formulation will be used in order to derive two different approaches. The first relies on a full tenth-order vehicle model and has high computational burden. The second approach is based on a simplified bicycle model and has a lower computational complexity compared to the first. The effectiveness of the proposed approaches is demonstrated through simulations and experiments.
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页码:611 / 628
页数:18