Vehicle Yaw Stability Control by Coordinated Active Front Steering and Differential Braking in the Tire Sideslip Angles Domain

被引:256
作者
Di Cairano, Stefano [1 ]
Tseng, Hongtei Eric [2 ]
Bernardini, Daniele [3 ]
Bemporad, Alberto [3 ]
机构
[1] Ford Res & Adv Engn, Dearborn, MI 48124 USA
[2] Ford Res & Adv Engn, Powertrain Control R&A Dept, Dearborn, MI 48124 USA
[3] IMT Inst Adv Studies, I-55100 Lucca, Italy
关键词
Automotive controls; hybrid control systems; model predictive control; vehicle stability control; MODEL-PREDICTIVE CONTROL; STABILIZATION; DYNAMICS; SYSTEMS;
D O I
10.1109/TCST.2012.2198886
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Vehicle active safety receives ever increasing attention in the attempt to achieve zero accidents on the road. In this paper, we investigate a control architecture that has the potential of improving yaw stability control by achieving faster convergence and reduced impact on the longitudinal dynamics. We consider a system where active front steering and differential braking are available and propose a model predictive control (MPC) strategy to coordinate the actuators. We formulate the vehicle dynamics with respect to the tire slip angles and use a piecewise affine (PWA) approximation of the tire force characteristics. The resulting PWA system is used as prediction model in a hybrid MPC strategy. After assessing the benefits of the proposed approach, we synthesize the controller by using a switched MPC strategy, where the tire conditions (linear/saturated) are assumed not to change during the prediction horizon. The assessment of the controller computational load and memory requirements indicates that it is capable of real-time execution in automotive-grade electronic control units. Experimental tests in different maneuvers executed on low-friction surfaces demonstrate the high performance of the controller.
引用
收藏
页码:1236 / 1248
页数:13
相关论文
共 38 条
  • [1] Robust control prevents car skidding
    Ackermann, J
    [J]. IEEE CONTROL SYSTEMS MAGAZINE, 1997, 17 (03): : 23 - 31
  • [2] Ahn C., 2010, P 10 INT S ADV VEH C
  • [3] Ahn C, 2011, P AMER CONTR CONF, P3948
  • [4] [Anonymous], 2006, TYRE VEHICLE DYNAMIC
  • [5] The explicit linear quadratic regulator for constrained systems
    Bemporad, A
    Morari, M
    Dua, V
    Pistikopoulos, EN
    [J]. AUTOMATICA, 2002, 38 (01) : 3 - 20
  • [6] Control of systems integrating logic, dynamics, and constraints
    Bemporad, A
    Morari, M
    [J]. AUTOMATICA, 1999, 35 (03) : 407 - 427
  • [7] Bemporad A, 2002, LECT NOTES COMPUT SC, V2289, P105
  • [8] Drive-by-wire Vehicle Stabilization and Yaw Regulation: a Hybrid Model Predictive Control Design
    Bernardini, D.
    Di Cairano, S.
    Bemporad, A.
    Tseng, H. E.
    [J]. PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 7621 - 7626
  • [9] MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle
    Borhan, Hoseinali
    Vahidi, Ardalan
    Phillips, Anthony M.
    Kuang, Ming L.
    Kolmanovsky, Ilya V.
    Di Cairano, Stefano
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2012, 20 (03) : 593 - 603
  • [10] An MPC/hybrid system approach to traction control
    Borrelli, Francesco
    Bemporad, Alberto
    Fodor, Michael
    Hrovat, Davor
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2006, 14 (03) : 541 - 552