Error Analysis and Compensation of MEMS Rotation Modulation Inertial Navigation System

Rotation modulation (RM) technology can effectively improve the navigation accuracy of strapdown inertial navigation system (SINS) by the periodic rotation of the rotation mechanism. But the original error characteristics of SINS will be changed after introducing the rotation modulation technology. Aiming at the practical micro-electro-mechanical system RMSINS, the error characteristics are comprehensively analyzed, and then a complete error model is established. At the same time, a reasonable parameter calibration scheme and the compensation method are designed to compensate the error in this paper. On this basis, static and dynamic experiments are carried out. The position accuracies of the rotation modulation state in the static and dynamic experiments are about ten times and about three times than that of the non-rotation state. The experimental results show that the proposed error analysis and compensation method are feasible which have been applied to the practical engineering.

[1]  Suilao Li,et al.  Analysis and compensation of rotating shaft fluctuation on rotation inertial navigation system , 2016, 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC).

[2]  Afsar Saranli,et al.  Characterization and calibration of MEMS inertial sensors for state and parameter estimation applications , 2012 .

[3]  Kui Li,et al.  A Self-Calibration Method for Non-Orthogonal Angles of Gimbals in Tri-Axis Rotational Inertial Navigation System , 2016, IEEE Sensors Journal.

[4]  Sreejith Sreekumar,et al.  Inertial Navigation System for India’s Reusable Launch Vehicle-Technology Demonstrator (RLV-TD HEX) Mission , 2017 .

[5]  Fang Jiancheng.  Novel Field Calibration Through Rotation in Six-position for FOG-IMU , 2008 .

[6]  Terry Tucker,et al.  The AN/WSN-7B Marine Gyrocompass/Navigator , 2000 .

[7]  Mingwei Liu,et al.  A Fuzzy Adaptive GPS/INS Integrated Navigation Algorithm , 2011 .

[8]  Yang Gao,et al.  Integration of GNSS and MEMS-Based Rotary INS for Bridging GNSS Outages , 2015 .

[9]  Zhong Duo-jiu.  Computation structure of rotating strapdown INS , 2013 .

[10]  Fang Liu,et al.  Error analyses and calibration methods with accelerometers for optical angle encoders in rotational inertial navigation systems. , 2013, Applied optics.

[11]  Lei Wang,et al.  Analysis and experiment of error restraint principle in an inertial navigation system with inertial sensors rotation , 2016, Int. J. Sens. Networks.

[12]  T. Aoki,et al.  The Rotation Control System to Improve the Accuracy of an Inertial Navigation System Installed in an Autonomous Underwater Vehicle , 2007, 2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies.

[13]  Hanlin Sheng,et al.  MEMS-based low-cost strap-down AHRS research , 2015 .

[14]  Neil Genzlinger.  A. and Q , 2006 .

[15]  Wei Sun,et al.  MEMS IMU Error Mitigation Using Rotation Modulation Technique , 2014, Sensors.

[16]  Naser El-Sheimy,et al.  Tightly-Coupled Integration of WiFi and MEMS Sensors on Handheld Devices for Indoor Pedestrian Navigation , 2016, IEEE Sensors Journal.