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首页> 外文会议>Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International >System identification method for Ultrasonic Intake Air Flow Meter for engine test bed applications
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System identification method for Ultrasonic Intake Air Flow Meter for engine test bed applications

机译：用于发动机测试台的超声波进气流量计的系统识别方法

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摘要

In this paper a novel system identification method, developed for the needs of an Ultrasonic Intake Air Flow Meter (AVL FLOWSONIX™ Air (FSA)) for engine test bed applications is presented. An intake air flow meter must provide high measurement accuracy (1% of reading) and stable long-term performance over the extended measurement range of (1∶80). Thus, the required accuracy and stability of the measured flow velocity must be better than 0.05 (m/s). The reachable accuracy is strongly influenced by the group delay of the ultrasonic sensors, being a component of the total measured transit time. The goal of this work was the development of an identification method of the actual group delay of the ultrasonic sensors, executable during the regular flow measurement. For this purpose, at first a theoretical investigation of the achievable system accuracy, based on the Cramer-Rao lower bound, has been performed. Further, an approach for system identification based on the fitting of the system response function with a band-pass filter model of the 4-th order has been proposed. Special attention has been given here to the selection of a correct filter model and input parameters of the fitting procedure. A maximum length sequence has been used as the carrier signal. Finally, the proposed approach has been proven by a series of short and long-term zero flow measurements, which have shown the improvement of the accuracy of the flow measurement by at least a factor of 10.
机译：在本文中，提出了一种新颖的系统识别方法，该方法是为满足发动机测试台应用的超声进气空气流量计（AVL FLOWSONIX™Air（FSA））的需求而开发的。进气流量计必须在扩展的（1∶80）的测量范围内提供较高的测量精度（读数的1％）和稳定的长期性能。因此，所要求的流速精度和稳定性必须优于0.05（m / s）。达到的精度在很大程度上受超声传感器的群延迟影响，而群延迟是总测量通过时间的一部分。这项工作的目的是开发一种可以在常规流量测量期间执行的超声波传感器实际群时延识别方法。为此，首先进行了基于Cramer-Rao下界的可达到的系统精度的理论研究。此外，已经提出了一种基于系统响应函数与四阶带通滤波器模型的拟合的系统识别方法。这里特别注意选择正确的滤波器模型和拟合过程的输入参数。最大长度序列已被用作载波信号。最后，所提出的方法已通过一系列短期和长期的零流量测量得到了证明，这些测量表明流量测量的精度至少提高了10倍。

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