Distributed attitude transfer alignment research based on INS/CNS integrated navigation system

Author(s):  
Bing Hua ◽  
Jing Yang ◽  
Zhi Xiong ◽  
Hai-ying Liu ◽  
Guo-hua Kang ◽  
...  
2015 ◽  
Vol 713-715 ◽  
pp. 1156-1165
Author(s):  
Wei Sheng ◽  
Xiao Han ◽  
Ding Sheng Sun

Traditional transfer alignment must use a pure Inertial Navigation System (INS) as the reference, because using the integrated navigation system as the reference would disrupt the transfer alignment process and lead to the divergence of the fine alignment filter. But there are some cases require the cooperation between the master INS and slave INS for long time duration, such as mapping. To guarantee the accuracy of the master INS, integrated navigation feedback is needed. So, transfer alignment technique using the integrated navigation system as the reference is required. Taking the error of master INS into account, a transfer alignment attitude error in the body frame was defined, which makes the transfer alignment attitude error free from the impact of integrated navigation feedback corrections. Then, its error equations were developed and a Kalman filter was designed based on it. Finally, a transfer alignment simulation using a GPS/INS integrated navigation system as reference was performed to validate the proposed scheme.


2014 ◽  
Vol 490-491 ◽  
pp. 886-890
Author(s):  
Xing Zhi Zhang ◽  
Kun Peng He ◽  
Chen Yang Wang

The transfer alignment of strapdown inertial units were proposed that use the H filter to estimate the misalignment of the slave INS (inertial navigation system) relative to the master INS. Characteristics of the H filter in transfer alignment were studied in detail by checking digital simulation results obtained by using the H and Kalman filters. The results shows that the misalignment angle obtained with the H filter converge faster and closer to the exact values than do those obtained with the Kalman filter. The H filter is more robust than the Kalman filter in transfer alignment for MEMS integrated navigation system.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Huisheng Liu ◽  
Zengcai Wang ◽  
Susu Fang ◽  
Chao Li

A constrained low-cost SINS/OD filter aided with magnetometer is proposed in this paper. The filter is designed to provide a land vehicle navigation solution by fusing the measurements of the microelectromechanical systems based inertial measurement unit (MEMS IMU), the magnetometer (MAG), and the velocity measurement from odometer (OD). First, accelerometer and magnetometer integrated algorithm is studied to stabilize the attitude angle. Next, a SINS/OD/MAG integrated navigation system is designed and simulated, using an adaptive Kalman filter (AKF). It is shown that the accuracy of the integrated navigation system will be implemented to some extent. The field-test shows that the azimuth misalignment angle will diminish to less than 1°. Finally, an outliers detection algorithm is studied to estimate the velocity measurement bias of the odometer. The experimental results show the enhancement in restraining observation outliers that improves the precision of the integrated navigation system.


2013 ◽  
Vol 341-342 ◽  
pp. 896-900
Author(s):  
Bao Jiang Sun ◽  
Yue Xu

Describes briefly ultrasonic positioning system (UPS) and digital magnetic compass (DMC) heading measurement principle,analyzed the advantages and disadvantages of each option. To improve the accuracy of the heading measurement, As the theoretical basis of adaptive Kalman filter, designed a kind of ups and dmc integrated navigation system. Based on both real measurement data, made a simulation experiment and confirmed the feasibility of the navigation system.


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