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Vehicle Lateral Velocity and Lateral Tire-road Forces Estimation Based on Switched Interval Observers

机译:基于开关间隔观察者的车辆横向速度和横向轮胎转力估计

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Lateral velocity and tire-road forces are vital signals that affect the stability of a vehicle under cornering. Unfortunately, for both technical and economic reasons, these fundamental vehicle parameters can hardly be measured directly through sensors. As a consequence, an efficient and reliable algorithm for estimating vehicle lateral velocity and tire-road forces is needed. This paper presents a novel framework for estimation of vehicle lateral velocity and lateral tire-road forces. The proposed algorithm is based on switched interval observers and is able to cope with changes of tire operating conditions. The interval estimation algorithm is evaluated through experimental data acquired using an instrumented vehicle. Simulation results show that the developed system can reliably estimate the upper and lower bounds of vehicle lateral variables during both steady and transient maneuvers.
机译:横向速度和轮胎路部力是影响转弯下车辆的稳定性的重要信号。 不幸的是,对于技术和经济原因,这些基本车辆参数几乎不能直接通过传感器测量。 因此,需要一种用于估计车辆横向速度和轮胎力的高效可靠算法。 本文提出了一种估计车辆横向速度和横向轮胎力的新框架。 所提出的算法基于开关间隔观察者,并且能够应对轮胎操作条件的变化。 通过使用仪表车辆获取的实验数据来评估间隔估计算法。 仿真结果表明,在稳态和瞬态的操纵期间,开发系统可以可靠地估计车辆横向变量的上限和下限。

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