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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988003
