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Study on Integrated Control of Active Front Steering and Direct Yaw Moment Based on Vehicle Lateral Velocity Estimation

机译:基于车辆横向速度估计的主动前转向与偏航力矩的集成控制研究

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摘要

Considering the vehicle lateral velocity is difficult to be measured at integration of chassis control in configuration of production vehicle, this study presents the vehicle lateral velocity estimation based on the extended Kalman filtering with the standard sensor information. The fuzzy control algorithm is proposed to integrate direct yaw moment control and active front steering with lateral velocity estimation. The integration controller produces direct yaw moment and front wheel angle compensation to control yaw rate and sideslip angle, which makes the actual vehicle yaw rate and sideslip angle follow desirable yaw rate and desirable sideslip angle. The simulation results show vehicle handling and stability are enhanced under different driving cycles by the proposed algorithm.
机译:考虑到在生产车辆配置中底盘控制集成中难以测量车辆横向速度,本研究提出了基于扩展卡尔曼滤波和标准传感器信息的车辆横向速度估计。提出了一种模糊控制算法,将直接偏航力矩控制和主动前转向与侧向速度估计相结合。积分控制器产生直接横摆力矩和前轮角度补偿,以控制横摆率和侧滑角,从而使实际的车辆横摆率和侧滑角遵循所需的横摆率和所需的侧滑角。仿真结果表明,所提算法在不同行驶周期下均能提高车辆的操纵性和稳定性。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第5期|275269.1-275269.8|共8页
  • 作者单位

    University of Shanghai for Science and Technology, School of Mechanical Engineering, Institute of Automotive Engineering, Shanghai 200093, China;

    University of Shanghai for Science and Technology, School of Mechanical Engineering, Institute of Automotive Engineering, Shanghai 200093, China;

    National Center of Supervision and Inspection on Motor Vehicle Products Quality, Shanghai 201805, China;

    University of Shanghai for Science and Technology, School of Mechanical Engineering, Institute of Automotive Engineering, Shanghai 200093, China;

    University of Shanghai for Science and Technology, School of Mechanical Engineering, Institute of Automotive Engineering, Shanghai 200093, China;

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  • 入库时间 2022-08-17 13:54:38

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