Two Algorithm Contrast on Temperature Drift in Metal Tube Rotameter

摘要：

A temperature compensation algorithm was researched based on BP neural network in metal tube rotameter. The effect of temperature interference on sense organ (hall organ) of Metal Tube Rotameter was investigated. The temperature drift on hall metal tube rotameter was investigated in thermotank by experiment. Polynomial fitting and BP neural network was proposed based on experiment. The resuhs of the two methods were compared. At last, an off-line training method based on virtual instrument has been put forward.

关键词： Hall Element Temperature Drift Polynomial Fitting BP Neural Network

作者: Ning Jing Peng Jie-gang

作者单位: School of Mechanical Eng, Southwest Jiaotong University, Chengdu Sichuan 610031, PR China School of Automation, University of Electronic Science and Technology of China, Chengdu, Sichuan 610

会议类型: 国际会议

会议名称: ISSNP2008、CSEPC、ISOFIC2008(第二届21世纪和谐核电系统国际会议、第四届电厂控制中认知系统工程方法国际会议暨第三届未来核电厂仪表与控制国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 309-313

在线出版日期: 2008-09-08（万方平台首次上网日期，不代表论文的发表时间）