Fuzzy-logic based adaptive weighting filter for strap-down inertial navigation systems

Author

Wenjun Lv ; Yu Kang ; Zhijun Li ; Yun-Bo Zhao

Author_Institution

Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China

fYear

2014

Firstpage

2053

Lastpage

2059

Abstract

Strap-down inertial navigation systems are widely applicable in both military and civil industries. The outputs of gyroscope and accelerometer are polluted by noises. Different form the conventional technologies, the weighting filter presented in this work is superior to both the complementary filter and Kalman filter. Furthermore, to eliminate the negative effects brought by the variation of noise statistical characteristics, a fuzzy-logic based regulator is introduced to adjust the weight coefficient adaptively. Finally, experiments are conducted to validate the efficiency of the filter.

Keywords

accelerometers; adaptive Kalman filters; aerospace computing; aircraft navigation; fuzzy logic; gyroscopes; inertial navigation; accelerometer; adaptive weight coefficient adjustment; fuzzy logic based adaptive weighting filter; fuzzy logic based regulator; gyroscope; noise statistical characteristics variation; strapdown inertial navigation system; Accelerometers; Accuracy; Educational institutions; Gyroscopes; Kalman filters; Mathematical model; Noise; Adaptive weighting filter; Complementary filter; Fuzzy-logic; Kalman filter; Strapdown inertial navigation system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2014 11th World Congress on

Type

conf

DOI

10.1109/WCICA.2014.7053038

Filename

7053038