DocumentCode
2811678
Title
Temperature compensation of high-precision I/F converter based on BP neural network
Author
Dong, Mingjie ; Wang, Bo ; Shi, Yongsheng
Author_Institution
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear
2011
fDate
15-17 July 2011
Firstpage
4487
Lastpage
4490
Abstract
By the theoretical analysis of charge balance type I/F converter, the main factors of the I/F converter scale factor temperature drift is found out. For the scale factor temperature drift, a temperature compensation method of the converter based on BP neural network is put forward. Through the temperature compensation, the average temperature coefficient of the converter scale factor can be controlled within 0.5ppm/°C.
Keywords
backpropagation; convertors; electrical engineering computing; neural nets; BP neural network; average temperature coefficient; converter scale factor; high-precision I/F converter; scale factor temperature drift; temperature compensation; Accelerometers; Instruments; Navigation; Neural networks; Switches; Temperature; Temperature control; BP neural network; I/F Converter; temperature compensation; temperature drift;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5988003
Filename
5988003
Link To Document