论文部分内容阅读
传感器对温度，电源波动等多种工作参数敏感，致使精度大大下降。本文在压力传感器静态标定实验的基础上建立了它的输出特性校正模型，并利用矩阵奇异值分解的方法成功求解了该模型最小二乘解中范数最小的唯一解。经验证，该模型显著改善了传感器的非线性，有效消除了工作参数的影响，使测压精度提高一个数量级。利用传感器对多种工作参数的敏感性，还可以实现多参数测量。本文在不增加任何设备的情况下，实现了用一个压力传感器同时测温和测压，且测压精度提高一个数量级，测温精度优于±１０℃，大大提高了压力传感器的性能价格比。
Sensors on the temperature, power fluctuations and other parameters sensitive, resulting in greatly reduced accuracy. In this paper, based on the static calibration experiment of pressure sensor, a calibration model of its output characteristic is established and the unique solution of the least-norm in the least-squares solution of the model is successfully solved by means of matrix singular value decomposition. The model has been verified to significantly improve the sensor nonlinearity, effectively eliminating the impact of the working parameters, so that the pressure measurement accuracy an order of magnitude. The use of sensors on a variety of operating parameters of the sensitivity, but also can achieve multi-parameter measurement. In this paper, without adding any equipment, the realization of a pressure sensor with simultaneous temperature measurement and pressure measurement, and pressure measurement accuracy increased by an order of magnitude, temperature measurement accuracy better than ± 1 0 ℃, greatly improving the performance of the pressure sensor price ratio.