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Slow On-off Control of Two-state Damping for Electrically Controlled Air Suspension Based on Extended Kalman Filter

机译:基于扩展卡尔曼滤波器的电控空气悬架对两种状态阻尼的慢速控制

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To improve riding performance of the bus with air suspension, the half-car nonlinear model of air suspension was created with the help of analyzing nonlinear character of spring-pneumatic. Slow on-off control of two-state damping was proposed according to the tire deformation and suspension deflection, and the shock absorber with two-state damping was designed by opening and closing the orifice of throttle. It was difficult to obtain the tire deformation directly, and the state-observer of air suspension was proposed based on Extended Kalman Filtering (EKF) algorithm, namely the tire deformation was estimated by the suspension deflection and its relative changing speed. Simulation shows EKF algorithm can estimate the running states well, and the estimating error of RMS is below 10% in 3 seconds and the whole vehicle testing validate that the slow on-off control can enhance the capability of air suspension.
机译:为了提高空气悬架的乘坐船舶的骑行性能,借助于分析弹簧气动的非线性特征,产生空气悬浮液的半汽车非线性模型。根据轮胎变形和悬架偏转提出了两个状态阻尼的慢速控制,并且通过打开和关闭节流阀孔设计了具有双状态阻尼的减震器。难以直接获得轮胎变形,并且基于扩展的卡尔曼滤波(EKF)算法,提出了空气悬架的状态观察者,即通过悬架偏转和其相对变化的速度估计轮胎变形。仿真显示EKF算法可以估计运行状态良好,并且3秒内RMS的估计误差低于10%,并且整个车辆测试验证了慢速接通控制可以提高空气悬架的能力。

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