TY - GEN
T1 - Temperature compensation of FOG scale factor based on CPSO-BPNN
AU - Zhao, Dunhui
AU - Chen, Jiabin
AU - Han, Yongqiang
AU - Song, Chunlei
AU - Liu, Zhide
PY - 2010
Y1 - 2010
N2 - The scale factor of fiber optic gyroscope (FOG) varied with the environment temperature. This nonlinear variation seriously influences the precision of the FOG. In this article, the back propagation neural network (BPNN) based on chaos particle swarm optimization (CPSO) is used to compensate the scale factor error. It is testified by experiment, that CPSO-BPNN algorithm is an ideal method to fit the variation of scale factor with temperature, which can greatly decrease the angular rate error of FOG caused by scale factor error and guarantee the measuring precision of FOG at different temperature.
AB - The scale factor of fiber optic gyroscope (FOG) varied with the environment temperature. This nonlinear variation seriously influences the precision of the FOG. In this article, the back propagation neural network (BPNN) based on chaos particle swarm optimization (CPSO) is used to compensate the scale factor error. It is testified by experiment, that CPSO-BPNN algorithm is an ideal method to fit the variation of scale factor with temperature, which can greatly decrease the angular rate error of FOG caused by scale factor error and guarantee the measuring precision of FOG at different temperature.
KW - CPSO-BPNN
KW - FOG
KW - Temperature compensation
UR - http://www.scopus.com/inward/record.url?scp=77955366062&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2010.5498692
DO - 10.1109/CCDC.2010.5498692
M3 - Conference contribution
AN - SCOPUS:77955366062
SN - 9781424451821
T3 - 2010 Chinese Control and Decision Conference, CCDC 2010
SP - 2898
EP - 2901
BT - 2010 Chinese Control and Decision Conference, CCDC 2010
T2 - 2010 Chinese Control and Decision Conference, CCDC 2010
Y2 - 26 May 2010 through 28 May 2010
ER -