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A SUBSPACE-BASED IDENTIFICATION APPROACH FOR THE ANALYSIS OF ROAD VEHICLES YAW DYNAMICS AROUND STEERING-PAD CONDITIONS

机译:基于子空间的路线围绕转向垫条件分析的识别方法

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The topic of this paper is the identification of the yaw dynamics of a road vehicle, around a steering-pad condition. Unfortunately, a linearized model cannot be easily computed from the simulator since the working condition is not an equilibrium for the vehicle. Hence a black-box identification approach has been used. The generator of Input/Output data is a detailed simulator of the vehicle (high-order, non-linear). The I/O data-set is constituted by impulse responses from the steering angle (Input) to the slip-side angle of the vehicle (Output). Subspace-Based System Identification methods have been used. This work is a sub-task of a larger project regarding the analysis of the improvements on the maximum lateral acceleration achievable on a modern road vehicle by means of active yaw control and active suspensions.
机译:本文的主题是围绕转向垫条件识别道路车辆的偏航动力学。不幸的是,由于工作条件不是车辆的平衡,因此不能从模拟器容易地计算线性化模型。因此已经使用了黑盒识别方法。输入/输出数据的发电机是车辆的详细模拟器(高阶,非线性)。 I / O数据集由脉冲响应从转向角(输入)到车辆的滑动侧角度(输出)构成。已经使用了基于子空间的系统识别方法。这项工作是一个关于通过主动偏航控制和主动悬浮液在现代公路车辆上可实现的最大横向加速的改进分析的更大项目的子任务。

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