首页> 外文会议>Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE >Dynamic parameter estimation of velocity sensors using an indirect measurement approach
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Dynamic parameter estimation of velocity sensors using an indirect measurement approach

机译:使用间接测量方法估算速度传感器的动态参数

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An indirect measurement method is proposed for the dynamic parameter estimation of velocity sensors. This approach makes use of data processing abilities of computers and does not require high precision devices. Under the indirect measurement mode, the relationship between the input voltage and the output current of the testing system can be described by a third-order transfer function including physical parameters of the sensor. An identification method for transfer functions with a two step algorithm is presented based on the spectral analysis. The spectral density functions are first obtained from input-output signals of a system, then the dynamic parameters can be estimated from frequency response data. Some parameter estimation algorithms are derived by minimizing a unified loss function with different weight selections and the estimation errors are analyzed. By use of the indirect measurement approach and the modeling algorithms, we can get enough precision results. When the transfer function under the indirect measurement mode is determined, the transfer function in the working state can be obtained through the relationship between the models in the measuring state and in the working state. The methods suggested in the paper can be widely used in the modeling of mechanic-electric systems.
机译:提出了一种间接测量速度传感器动态参数的方法。这种方法利用了计算机的数据处理能力,并且不需要高精度的设备。在间接测量模式下,测试系统的输入电压和输出电流之间的关系可以通过包含传感器物理参数的三阶传递函数来描述。基于光谱分析,提出了一种基于两步法的传递函数识别方法。首先从系统的输入输出信号获得频谱密度函数,然后可以从频率响应数据估计动态参数。通过最小化具有不同权重选择的统一损失函数,得出了一些参数估计算法,并对估计误差进行了分析。通过使用间接测量方法和建模算法,我们可以获得足够的精度结果。当确定间接测量模式下的传递函数时,可以通过测量状态和工作状态下的模型之间的关系来获得工作状态下的传递函数。本文提出的方法可以广泛应用于机电系统的建模。

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