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.
引用
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页码:611 / 628
页数:18
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