基于RBF-PSO的N型热电偶传感器非线性校正

A Nonlinear Correcting Method of N-Thermocouple Sensor Based on RBF-PSO

介绍了一种RBF-PSO热电偶传感器非线性校正的新方法。通过PSO算法对RBF网络需要确定的参数进行全局快速优化,优化结果作为RBF网络参数的初始值,发挥RBF网络局部搜索的优点,进一步优化,从而达到校正模型所要求的精度。通过仿真实验,证明了RBF-PSO方法的可行性,与传统的RBF网络相比较,精度有了明显提高,实际应用效果良好。

A new nonlinear correcting method based on RBF-PSO of thermocouple sensor was introduced.It achieved fast global optimization for RBF network parameters by PSO algorithm.Regarding the optimization results as initial conditions doing further optimization carried out the nonlinear correction.The result of experiment shows that the nonlinear calibration based on RBF-PSO has higher precision than the method based on BP and RBF.The application effect is good.