Title :
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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053038
