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首页> 外文期刊>Automatisierungstechnik: Methoden und Anwendungen der Steuerungs-, Regelungs- und Informationstechnik >Improved vehicle dynamics estimation by modeling the suspension and steering kinematics
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Improved vehicle dynamics estimation by modeling the suspension and steering kinematics

机译:通过对悬架和转向运动学建模,改善了车辆动力学估算

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摘要

The focus of this paper is the vehicle-specific model extension of a vehicle dynamics observer in the suspension and steering kinematics field and their influence on the estimation accuracy. The necessity of modeling the steering kinematics is shown by analysis on a single-track model. Prior to the design process of the observer, the model was suitable decomposed. The resulting partial observers are designed as Kalman Filters and Extended Kalman Filter. The achieved estimation accuracy by adding the suspension and steering kinematics is particularly shown in a higher quality of the slip angle estimation. The improvements were validated by real test drives.
机译:本文的重点是悬架和转向运动学领域中车辆动力学观察者的车辆特定模型扩展及其对估计精度的影响。通过对单轨模型的分析表明了对转向运动学进行建模的必要性。在观察者的设计过程之前,对模型进行适当的分解。所得的部分观察者被设计为卡尔曼滤波器和扩展卡尔曼滤波器。通过增加悬架和转向运动学获得的估计精度在更高的滑移角估计质量中得到了体现。这些改进已通过实际测试驱动器得到验证。

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