Title :
Robust initial alignment algorithm for platform inertial navigation system on disturbance base
Author :
Guo Zhibin ; Wang Yuegang ; Shan Bin ; Huang Wuxing
Author_Institution :
Xi´an Res. Inst. of High-Tech., Xi´an, China
Abstract :
Focus on the initial alignment problem of vehicular platform inertial navigation system(INS) on disturbance base, the main disturbance sources include the Strong Flurry Interference, the engine working, the stuff´s movement and the doors´ opening and closing were analyzed and the vibration disturbance made from these sources influenced the initial alignment for vehicular platform INS seriously. This kind of vibration disturbance was too complex to establish the model, an H∞ filter was designed for the platform INS alignment which deemed the vibration disturbance as the indeterminate interference. The simulation results showed that the initial alignment could be accomplished by using this robust Algorithm and the accuracy was within 3´.
Keywords :
H∞ filters; inertial navigation; vibrations; H∞ filter; disturbance base; platform inertial navigation system; robust initial alignment algorithm; vehicular platform INS; vibration disturbance; Equations; Filtering algorithms; Mathematical model; Noise measurement; Robustness; Vehicles; Vibrations; Disturbance Base; H∞ filter; Initial Alignment; Platform INS; Robust Algorithm;
Conference_Titel :
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/WARTIA.2014.6976425