王萌, 史忠科. 智能车辆动力学模型辨识与自主控制[J]. 微电子学与计算机, 2014, 31(7): 142-146.
引用本文: 王萌, 史忠科. 智能车辆动力学模型辨识与自主控制[J]. 微电子学与计算机, 2014, 31(7): 142-146.
WANG Meng, SHI Zhong-ke. Identification of Dynamics Model and Self-control for Intelligent Vehicle[J]. Microelectronics & Computer, 2014, 31(7): 142-146.
Citation: WANG Meng, SHI Zhong-ke. Identification of Dynamics Model and Self-control for Intelligent Vehicle[J]. Microelectronics & Computer, 2014, 31(7): 142-146.

智能车辆动力学模型辨识与自主控制

Identification of Dynamics Model and Self-control for Intelligent Vehicle

  • 摘要: 针对试凑法优化控制参数困难、控制精度不高、控制律环境适应性差的问题,对智能车辆的动力学模型和自主控制进行了研究.在地面车辆实验中,通过给小车施加伪随机序列舵控信号,使得小车的行驶状态被充分激励;在获得充分激励的小车速度、位置、姿态、横摆角速率状态后,利用系统辨识方法建立了智能小车动力学模型;在动力学模型的基础上,设计了小车自主驾驶控制律.跑车试验表明所提模型的预测结果与测量结果具有较好的一致性;控制仿真结果表明,设计的控制律能够保证小车完成预定轨迹自主驾驶.

     

    Abstract: As to the problems of trial-and-error method like the difficulty of control parameters optimization,low control precision and poor adaptability of control law,this paper researches the dynamics model and self-control for Intelligent Vehicle.In the vehicle experiments,the running state of the vehicle is sufficiently excited by applying pseudo-random sequences signals to the car steering control.After obtaining this vehicle's speed,position,attitude and yaw rate,dynamics model of the Intelligent Vehicle is established by use of system identification.Based on the dynamics model,designing autonomous driving control law of Intelligent Vehicle.The ground experiments suggest good consistency between predicted results of proposed model and actual measured results.The control simulations show that designed control law ensure the completion of vehicle autonomous driving under given track.

     

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