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Correction of the dynamic errors of a gas sensor based on the dynamic model with averaged parameters

机译:基于平均参数动态模型的气体传感器动态误差校正

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The paper presents a numerical method of dynamic error correction applied to a measuring transducer of gas concentration with a typical sensor based on tin dioxide. The work describes research of the dynamic properties of the transducer. Its response time is approximately 8 to 10 minutes, which may be not acceptable in many applications. A parametric model of the transducer dynamics has been developed and an adequate correction algorithm is proposed. The obtained results of the dynamic correction based on the proposed method are compared with those achieved previously by applying a neural network algorithm. Despite the simplicity of the used model, the proposed method allows a significant decrease in the transducer response time.
机译:本文提出了一种动态误差校正的数值方法,该方法应用于带有基于二氧化锡的典型传感器的气体浓度测量传感器。该工作描述了换能器动态特性的研究。它的响应时间约为8到10分钟,这在许多应用中可能是不可接受的。已经开发了换能器动力学的参数模型,并提出了适当的校正算法。将基于所提出方法的动态校正的结果与先前通过应用神经网络算法获得的结果进行比较。尽管所用模型很简单,但所提出的方法仍可显着缩短换能器的响应时间。

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