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Establishment and research of state model of intelligent vehiclebend system based on kalman filter

机译:基于卡尔曼滤波器的智能车辆边缘系统状态模型的建立与研究

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In view of the problems of route selection and driving stability of intelligent vehicle in the process of turning,a state model of intelligent vehicle turning system control based on Kalman filter is proposed.Taking intelligent vehicle as the research object,according to the route of intelligent vehicle passing through a certain bend at uniform speed,the corresponding state transition model of intelligent vehicle's speed and position is established,and the state model of intelligent vehicle's bend system is analyzed,and the system state equation of intelligent vehicle in the process of bend movement based on Kalman filter is obtained.According to the state equation of the system,it can effectively monitor the speed,position and trajectory of the intelligent vehicle on the bend.Combining with Kalman filter algorithm,it can effectively reduce the noise of the control process and observation noise.It can be used to achieve more stable and accurate control of the intelligent vehicle in the bend movement.
机译:鉴于智能车辆在转弯过程中的路线选择和驾驶稳定性的看法,提出了一种基于卡尔曼滤波器的智能车辆转动系统控制状态模型。根据智能化的智能车辆作为研究对象。以均匀速度通过一定弯曲的车辆,建立了智能车辆速度和位置的相应状态转换模型,分析了智能车辆弯曲系统的状态模型,以及易于弯曲运动过程中智能车辆的系统状态方程基于Kalman滤波器获得。根据系统的状态方程,它可以有效地监控智能车辆在弯曲车辆上的速度,位置和轨迹与卡尔曼滤波器算法,它可以有效地降低控制过程的噪声和观察噪声。可以用来实现对智能车辆的更稳定和准确的控制弯曲运动。

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