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A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series.

Zhao L, Li J, Cheng J, Jia C, Wang Q - Sensors (Basel) (2015)

Bottom Line: However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS.Finally, the periodic oscillation errors are restricted on account of the principle of eliminating the periodic oscillation signal with a half-wave delay by mean value.Simulation and test results show that the method has good performance in restricting the Schuler, Foucault, and Earth oscillation errors of SINS.

View Article: PubMed Central - PubMed

Affiliation: College of Automation, Harbin Engineering University, Harbin 150001, China. zhaolin@hrbeu.edu.cn.

ABSTRACT
Continuity, real-time, and accuracy are the key technical indexes of evaluating comprehensive performance of a strapdown inertial navigation system (SINS). However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS. A method for oscillation error restriction of SINS based on forecasted time series is proposed by analyzing the characteristics of periodic oscillation errors. The innovative method gains multiple sets of navigation solutions with different phase delays in virtue of the forecasted time series acquired through the measurement data of the inertial measurement unit (IMU). With the help of curve-fitting based on least square method, the forecasted time series is obtained while distinguishing and removing small angular motion interference in the process of initial alignment. Finally, the periodic oscillation errors are restricted on account of the principle of eliminating the periodic oscillation signal with a half-wave delay by mean value. Simulation and test results show that the method has good performance in restricting the Schuler, Foucault, and Earth oscillation errors of SINS.

No MeSH data available.


(a) The new time series and curve fitting of gyro; (b) The new time series and curve fitting of accelerometer.
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sensors-15-17433-f006: (a) The new time series and curve fitting of gyro; (b) The new time series and curve fitting of accelerometer.

Mentions: According to Figure 6, curve fitting based on least square for can objectively predict the time series with arbitrary length in the future. Since the least squares method is a type of unbiased estimator, forecasted time series still contains gyro bias drift and accelerometer bias. Schuler and Foucault periodic oscillation errors can be restrained with forecasted time series for and Earth periodic oscillation errors can be suppressed with forecasting time series for.


A Method for Oscillation Errors Restriction of SINS Based on Forecasted Time Series.

Zhao L, Li J, Cheng J, Jia C, Wang Q - Sensors (Basel) (2015)

(a) The new time series and curve fitting of gyro; (b) The new time series and curve fitting of accelerometer.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541942&req=5

sensors-15-17433-f006: (a) The new time series and curve fitting of gyro; (b) The new time series and curve fitting of accelerometer.
Mentions: According to Figure 6, curve fitting based on least square for can objectively predict the time series with arbitrary length in the future. Since the least squares method is a type of unbiased estimator, forecasted time series still contains gyro bias drift and accelerometer bias. Schuler and Foucault periodic oscillation errors can be restrained with forecasted time series for and Earth periodic oscillation errors can be suppressed with forecasting time series for.

Bottom Line: However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS.Finally, the periodic oscillation errors are restricted on account of the principle of eliminating the periodic oscillation signal with a half-wave delay by mean value.Simulation and test results show that the method has good performance in restricting the Schuler, Foucault, and Earth oscillation errors of SINS.

View Article: PubMed Central - PubMed

Affiliation: College of Automation, Harbin Engineering University, Harbin 150001, China. zhaolin@hrbeu.edu.cn.

ABSTRACT
Continuity, real-time, and accuracy are the key technical indexes of evaluating comprehensive performance of a strapdown inertial navigation system (SINS). However, Schuler, Foucault, and Earth periodic oscillation errors significantly cut down the real-time accuracy of SINS. A method for oscillation error restriction of SINS based on forecasted time series is proposed by analyzing the characteristics of periodic oscillation errors. The innovative method gains multiple sets of navigation solutions with different phase delays in virtue of the forecasted time series acquired through the measurement data of the inertial measurement unit (IMU). With the help of curve-fitting based on least square method, the forecasted time series is obtained while distinguishing and removing small angular motion interference in the process of initial alignment. Finally, the periodic oscillation errors are restricted on account of the principle of eliminating the periodic oscillation signal with a half-wave delay by mean value. Simulation and test results show that the method has good performance in restricting the Schuler, Foucault, and Earth oscillation errors of SINS.

No MeSH data available.