Dual-axis Rotation Scheme for Inertial Navigation System Based on Controllability of Indexing Mechanism

Author(s):  
Guansong Mei ◽  
Fubin Zhang ◽  
Lepeng Chen
Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2921 ◽  
Author(s):  
Jie Sui ◽  
Lei Wang ◽  
Tao Huang ◽  
Qi Zhou

The gyroscope, accelerometer and angular encoder are the most important components in a dual-axis rotation inertial navigation system (RINS). However, there are asynchronies among the sensors, which will thus lead to navigation errors. The impact of asynchrony between the gyroscope and angular encoder on the azimuth error and the impact of asynchrony between the gyroscope and accelerometer on the velocity error are analyzed in this paper. A self-calibration method based on navigation errors is proposed based on the analysis above. Experiments show that azimuth and velocity accuracy can be improved by compensating the asynchronies.


Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1683 ◽  
Author(s):  
Zhengyao Jing ◽  
Jie Li ◽  
Xi Zhang ◽  
Kaiqiang Feng ◽  
Tao Zheng

In previous research, a semi-strapdown inertial navigation system (SSINS), based on micro-electro-mechanical system (MEMS) sensors, was able to realize over-range measurement of the attitude information of high-rotation missiles by constructing a single axis “spin reduction” platform. However, the MEMS sensors in SSINS were corrupted by significant sensor errors. In order to further improve SSINS measurement accuracy, a rotational modulation technique has been introduced to compensate for sensor errors. The ideal modulation angular velocity is changed sharply to achieve a constant speed, while in practical applications, the angular rate of the rotating mechanism’s output needs to go through an acceleration-deceleration process. Furthermore, the stability of the modulation angular rate is difficult to achieve in a high-speed rotation environment. In this paper, a novel rotation scheme is proposed which can effectively suppress the residual error in the navigation coordinate system caused by the modulation angular rate error, including the acceleration-deceleration process and instability of angular rate. The experiment results show that the position and attitude accuracy of the new rotation scheme was increased by more than 56%. In addition, the proposed scheme is applicable to navigation accuracy improvement under various dynamic conditions.


2017 ◽  
Vol 17 (13) ◽  
pp. 4189-4196 ◽  
Author(s):  
Zengjun Liu ◽  
Lei Wang ◽  
Kui Li ◽  
Jie Sui

2012 ◽  
Vol 229-231 ◽  
pp. 1127-1131 ◽  
Author(s):  
Fang Liu ◽  
Wei Wang ◽  
Kui Li ◽  
Lei Wang

Aircrafts with common attitude maneuverability (e.g. helicopter) are in more and more urgent need of low cost and high precision inertial navigation system (INS). To meet this demand, a scheme of fiber-optic gyroscope (FOG) strapdown inertial navigation system (SINS) with single-axis to and fro rotation-modulation method is adopted. A short-time alignment method bases on open-loop mathematic platform misalignment model is studied. The test results from the actual system show that this method has characteristic of high accuracy and simple, reliable operation. The estimate accuracy of azimuth error and is less than 2’. And the estimate error of north drift achieves 0.001º/h. Simultaneously, the input-axis accelerometer bias and gyroscope drift are estimated exactly.


2013 ◽  
Vol 313-314 ◽  
pp. 643-646 ◽  
Author(s):  
Yu Liang Mao ◽  
Jia Bin Chen ◽  
Chun Lei Song ◽  
Jing Yuan Yin

In order to effectively inhibit the influence of constant bias of inertial sensors on strapdown inertial navigation system accuracy, a self-compensation method based on single-axis rotation modulation is proposed. It is shown by theoretical analysis that, the gyro constant drift and zero errors of accelerometer perpendicular to the rotation axis can be modulated to sinusoidal signal, which will be eliminated by integral. The constant bias along the rotation axis cannot be modulated. The effectiveness of the rotation scheme is proved by experiment and the influence of rotation speed is demonstrated.


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