杨瑜,滕勤,谈建,李盛
合肥工业大学机械与汽车工程学院
摘要：根据在流量计标定试验台上对一种热线式空气流量传感器静态标定的数据,用解析建模法和数值建模法建立了热线式传感器的非线性静态模型。文中对比分析了几种模型的辨识精度。结果表明,基于多项式最小二乘和FLANN网络的模型基本相同,能够满足测量的要求,而基于BP网络的模型有着更高的辨识精度。
关键词： 热线式空气流量传感器;;静态特性;;神经网络;;辨识精度
Abstract: The nonlinear static models of a
hot wire type mass air flow sensor is modelled by analytic modelling method and
numerical modelling method which are based on datas calibrated statically on
the flowmeter calibration test-bed.Precision of identification of the models is
analyzed.The results show that the polynomial model based on least square
method is the same as that based on FLANN network,demand of measurement can be
satisfied with the model.BP network has higher precision of identification.
Keywords: Hot Wire Type Mass Air Flow
Sensor;Static Characteristics;Neural Network;Precision of Identification
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