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Structure Selection and LPV Model Identification of a Car Steering Dynamics ?

机译:汽车转向动力学的结构选择和LPV模型识别

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A Linear Parameter-Varying (LPV), discrete-time black box model of an electric power assisted steering system of a passenger car is identified from open-loop step response measurement data. The goal is to provide a nominal model for control design and analysis that is able to describe the principal characteristics of the system in the whole region of steering angle and speed range of 3 to 30 km/h. Examining a set of experimental data by using classical linear time-invariant black box modeling and validation techniques, the structure of the LPV model is determined. The parameters of the model are identified based on minimizing a quadratic error criterion by nonlinear optimization algorithms.
机译:从开环阶跃响应测量数据中识别出乘用车的电动助力转向系统的线性参数变化(LPV)离散时间黑匣子模型。目的是为控制设计和分析提供一个名义模型,该模型能够描述整个转向角和3至30 km / h的速度范围内系统的主要特征。使用经典的线性时不变黑盒建模和验证技术检查一组实验数据,确定LPV模型的结构。基于非线性优化算法最小化二次误差准则,从而确定模型的参数。

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