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MATLAB在纱线张力传感器动态性能中的应用
Application of MATLAB in the Dynamic Performance of Yarn Tension Sensors

DOI: 10.12677/CSA.2023.131005, PP. 49-56

Keywords: 递推最小二乘法,MATLAB,纱线张力传感器,动态特性
Recursive Least Squares
, MATLAB, Yarn Tension Sensor, Dynamic Characteristics

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Abstract:

为了采集纱线张力传感器的电压信号,通过单片机和串口完成了对传感器数据的采集和传输,与此同时,通过编写程序提高了数据波形稳定输出。同时,基于递推最小二乘法(RLS)进行系统辨识的基本原理,给定纱线张力传感器实际输入输出数据,利用MATLAB编写递推最小二乘法程序,得到纱线张力传感器系统的阶跃响应曲线和幅频曲线,从而计算出纱线张力传感器的动态特性指标。
In order to acquire the voltage signal of the yarn tension sensor, the acquisition and transmission of the sensor data is done through the microcontroller and serial port, and at the same time, the stable output of the data waveform is improved by writing a program. At the same time, based on the basic principle of recursive least squares (RLS) for system identification, a recursive least squares program is written using MATLAB to obtain the step response curve and amplitude frequency curve of the yarn tension sensor system, given the actual input and output data of the yarn tension sensor, so as to calculate the dynamic characteristic index of the yarn tension sensor.

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