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| 摘要: |
| 对热电偶的非线性误差补偿方法进行了研究,提出了一种基于Profibus-DP的新型热电偶温度监测系统,系统对热电偶采集从站的非线性误差在上位机进行在线补偿.Matlab编写的应用程序采用DDE协议实现与MCGS软件的数据交换,它从MCGS实时数据库获取训练温度样本集,并采用遗传算法训练建立的BP神经网络模型,利用训练好的BP网络对待补偿的温度数据进行校正,并把校正结果传递给MCGS在线显示.实验表明,补偿模型把补偿数据的最大相对误差从9.96%降低到1.40%.新系统减轻了热电偶从站的负担,具有模型可靠、实时性强、计算精度高等特点. |
| 关键词: 热电偶 非线性补偿 遗传算法 神经网络 |
| DOI： |
| 分类号:TM76 |
| 基金项目: |
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| Thermocouple temperature monitoring system with on-line compensation based on Profibus-DP |
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ZHANG Dahai CHEN Qijuan
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| Abstract: |
| The methods of compensation for the nonlinear error of thermocouple are studied and a monitoring system based on Profibus-DP bus is proposed,in which the thermocouple nonlinearity of slave station is on-line rectified in master station.The Matlab application software,which exchanges data with the MCGS software through DDE protocol,gets the temperature samples from the real-time database of MCGS and trains the BP neural network using the genetic algorithm.The measured temperatures are rectified by the traine... |
| Key words: thermocouple nonlinearity compensation genetic algorithm neural network |
