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Identification of test rig for a quarter car active suspension systems

机译:确定四分之一汽车主动悬架系统的试验台

摘要

System Identification approach can be used to estimate the models and parameters of the passive system of a test rig for a quarter car active suspension systems. The passive suspension system is consists of sprung mass, unsprung mass, damper and hydraulic actuator. Identification of the system is carried out based on the experimental work of the test rig. The input of the system is an input signal from the LVDT sensor that be controlled by valve and two output signals of the system are the output signals from accelerometers. One output signal is taken from the accelerometer that placed at the body of the car and another one is placed at the tire of the car. Input signal excitation and data acquisition process are controlled by using Simulink. In order to estimate and validate the model and parameters, the data are process using the System Identification Toolbox in Matlab. Since the system is modeled as a linear model, linear ARX model is utilized as a model structure. Model parameter estimation for the passive systems is performed using ARX430 and ARX420 methods respectively. Through the validation process, percentage of the best fit can be reached more than 90% and the smallest LF, PFC and AIC criterions also can be reached. Hence, the model parameters of the system are acceptable.
机译:系统识别方法可用于估算四分之一汽车主动悬架系统的试验台被动系统的模型和参数。被动悬架系统由簧上质量,簧下质量,阻尼器和液压执行器组成。系统的识别是根据测试台的实验工作进行的。系统的输入是来自LVDT传感器的输入信号,该信号由阀门控制,系统的两个输出信号是来自加速度计的输出信号。一个输出信号从放置在汽车车身上的加速度计获取,另一个输出信号放置在汽车轮胎上。输入信号激励和数据采集过程通过Simulink进行控制。为了估计和验证模型和参数,使用Matlab中的System Identification Toolbox处理数据。由于将系统建模为线性模型,因此将线性ARX模型用作模型结构。分别使用ARX430和ARX420方法执行无源系统的模型参数估计。通过验证过程,可以达到最佳拟合的百分比超过90%,并且还可以达到最小的LF,PFC和AIC标准。因此,系统的模型参数是可以接受的。

著录项

  • 作者

    Abdul Rashid Zarina;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类
  • 入库时间 2022-08-20 20:06:47

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