Application of PSO algorithm in sensor nonlinear self-rectification 微粒群优化算法在传感器非线性自校正中的应用
Instead of using traditional sensor rectificatory algorithms, the PSO algorithm is applied to the parameter estimation of sensor nonlinear rectification. The effectiveness of the proposed PSO algorithm is tested by simulation experiments on the nonlinear self-rectification of electric-eddy-type micro displacement sensor. 介绍了不同于传统的传感器非线性校正方法,将PSO算法应用于传感器非线性校正的参数估计,并通过电涡流微位移传感器非线性校正进行PSO算法效果测试。
The input-output characteristic curve is modeled to realize high precision non-linearity self-rectification function by software method. 对传感器的输入输出特性曲线进行了建模,以软件手段实现高精度的非线性自校正功能。