Nonlinear robust control of integrated vehicle dynamics

被引:51
|
作者
He, Zhengyi [1 ]
Ji, Xuewu [1 ]
机构
[1] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
关键词
GCC; Lagrange's system; passivity; adaptive control; H-infinity control; L-2; gain; H-INFINITY-CONTROL; DISTURBANCE ATTENUATION; FEEDBACK; SYSTEMS; ROBOTS; TORQUE; BRAKE; MODEL;
D O I
10.1080/00423114.2011.578217
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A new methodology to design the vehicle GCC (global chassis control) nonlinear controller is developed in this paper. Firstly, to handle the nonlinear coupling between sprung and unsprung masses, the vehicle is treated as a mechanical system of two-rigid-bodies which has 6 DOF (degree of freedom), including longitudinal, lateral, yaw, vertical, roll and pitch dynamics. The system equation is built in the yaw frame based on Lagrange's method, and it has been proved that the derived system remains the important physical properties of the general mechanical system. Then the GCC design problem is formulated as the trajectory tracking problem for a cascade system, with a Lagrange's system interconnecting with a linear system. The nonlinear robust control design problem of this cascade interconnected system is divided into two H-infinity control problems with respect to the two sub-systems. The parameter uncertainties in the system are tackled by adaptive theory, while the external uncertainties and disturbances are dealt with the H-infinity control theory. And the passivity of the mechanical system is applied to construct the solution of nonlinear H-infinity control problem. Finally, the effectiveness of the proposed controller is validated by simulation results even during the emergency manoeuvre.
引用
收藏
页码:247 / 280
页数:34
相关论文
共 50 条
  • [31] Robust nonlinear control of boiler-turbine dynamics
    Institute of Simulation and Control of Power System, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China
    不详
    Zhongguo Dianji Gongcheng Xuebao, 2007, 23 (80-85):
  • [32] Robust adaptive control of systems with nonlinear unmodeled dynamics
    Jiang, ZP
    Hill, D
    Chen, J
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 2855 - 2860
  • [33] Robust adaptive control of nonlinear systems with unmodeled dynamics
    Aloliwi, B
    Khalil, HK
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 2872 - 2873
  • [34] Robust adaptive control of nonlinear systems with unmodeled dynamics
    Aloliwi, Bader
    Khalil, Hassan K.
    Proceedings of the IEEE Conference on Decision and Control, 1998, 3 : 2872 - 2873
  • [35] Robust nonlinear control of systems with input unmodeled dynamics
    Arcak, M
    Kokotovic, P
    SYSTEMS & CONTROL LETTERS, 2000, 41 (02) : 115 - 122
  • [36] Robust adaptive control of nonlinear systems with unmodelled dynamics
    Liu, Y
    Li, XY
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2004, 151 (01): : 83 - 88
  • [37] Robust nonlinear control of feedforward systems with unmodeled dynamics
    Arcak, M
    Teel, A
    Kokotovic, P
    AUTOMATICA, 2001, 37 (02) : 265 - 272
  • [38] A Robust Fuzzy Neural Control Approach for Vehicle Lateral Dynamics
    Ting, Chen-Sheng
    Chang, Yong-Nong
    2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING, 2012, 29 : 479 - 483
  • [39] Bifurcation in vehicle dynamics and robust front wheel steering control
    Ono, E
    Hosoe, S
    Tuan, HD
    Doi, S
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 1998, 6 (03) : 412 - 420
  • [40] Bifurcation in vehicle dynamics and robust front wheel steering control
    Toyota Central Research &, Development Lab, Inc, Aichi, Japan
    IEEE Trans Control Syst Technol, 3 (412-420):