基于遗传算法的铂电阻温度传感器非线性校正方法  

Linear Rectification to the Platinum Resistors by Using Genetic Algorithm

作　　者：吴新杰[1] 刘志峰[1] 刘一婷[1] 段茂强[1] 

机构地区：[1]辽宁大学物理系,辽宁沈阳110036

出　　处：《辽宁大学学报（自然科学版）》2006年第1期35-37,共3页Journal of Liaoning University：Natural Sciences Edition

基　　金：教育部留学回国人员科研启动基金资助项目(教外国留[2003]406号);辽宁省科学技术厅科研基金资助项目(20031027)

摘　　要：遗传算法是具有全局寻优特点的一种新型最优化方法.针对铂电阻传感器经验公式的非线性问题使用遗传算法对其进行了优化研究.简要地介绍了遗传算法的基本原理和运算规则,具体地描述了使用遗传算法实现铂电阻传感器系数拟合的步骤和程序.作为一种有效的优化手段,能够完成优化软件具有的功能,具有一定的工程应用价值.Genetic Algorithm is a kind of new algorithm which has the ability of searching the all. We study the way of using Genetic Algorithm to optimize the platinum resistors＇ experience formula to solve the nonlinear problem. This text briefly introduces the keystone and operation rule of Genetic Algorithm. And it describes the process and programs of calculating platinum resistors＇ coefficients by using Genetic Algorithm. As an effective means of optimization, Genetic Algorithm which has the ability of some optimization software is worth using in project.

关 键 词：遗传算法 非线性 MATLAB 铂电阻传感器 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]