中文摘要：

针对节流流量传感器的测量滞后问题,提出了一种基于GM（1,1）模型的预测校正方法。该方法首先依据新陈代谢模型对测量数据进行实时更新,然后利用自适应滤波法对新老数据给予不同的权重值,最后基于这些测量数据建立GM（1,1）模型预测下一个数据,并用预测得到的数据来代替节流流量传感器即将显示的数据。实验结果表明：所提方法能有效地解决节流流量传感器的测量滞后问题,平均相对误差小于0.38%,该方法能够满足实际工程的需要。

英文摘要：

Aiming at throttle flow sensor measurement hysteresis problem,a prediction correction method based on the GM（ 1,1） model is proposed. Firstly,measurement datas are updated in real-time according to the metabolic model,and then the new and the old datas are given different weight value by using adaptive filtering method.Finally,a GM（ 1,1） model based on these measurement data is established to predict the next data,the data to be displayed in the throttle flow sensor will be replaced by the obtained prediction data. The experimental results show that the proposed method can effectively solve the problem of throttle flow sensor measurement hysteresis,average relative error is within 0. 38 %,therefore,the method can meet the requirements of practical engineering.