Three major methods currently in the use of determining vehicle speed based on wheel speeds, the minimum wheel speed, minimum wheel speed corrected by slope method and the Kalman filter method, are analyzed, with meri...Three major methods currently in the use of determining vehicle speed based on wheel speeds, the minimum wheel speed, minimum wheel speed corrected by slope method and the Kalman filter method, are analyzed, with merits and defects of each approach stated. Through simulations, the Kalman filter method based on minimum wheel speed shows improved accuracy, in addition to better adaptivity to vehicle reference speed. It also can be used to acceleration ship regulation （ASR） in part-time four-wheel drive vehicles.展开更多
文摘Three major methods currently in the use of determining vehicle speed based on wheel speeds, the minimum wheel speed, minimum wheel speed corrected by slope method and the Kalman filter method, are analyzed, with merits and defects of each approach stated. Through simulations, the Kalman filter method based on minimum wheel speed shows improved accuracy, in addition to better adaptivity to vehicle reference speed. It also can be used to acceleration ship regulation （ASR） in part-time four-wheel drive vehicles.
文摘为了解决现有驱动防滑控制(ASR)策略响应慢、鲁棒性差的问题,提出一种利用扰动极值搜索算法估计动态路面附着系数的车辆驱动防滑控制策略.搭建车辆动力学系统模型,采用扰动极值搜索算法,自动搜索路面附着系数-滑移率曲线的极大值点,并设计一种踏板信号前馈控制与滑移率负反馈校正的动态驱动防滑控制策略,将车轮滑移率控制在附着系数-滑移率曲线附着系数极大值对应的滑移率处.结果表明:采用扰动极值搜索算法估计路面附着系数的驱动防滑控制策略能够在0.4 s将轮胎滑移率、附着系数和车辆加速度控制在最优滑移率、最优附着系数和稳定车辆加速度较小的邻域内,比门限值ASR控制快0.8 s.
