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The Compensation Effects of Gyros' Stochastic Errors in a Rotational Inertial Navigation System

Published online by Cambridge University Press:  28 May 2014

Pin Lv
Affiliation:
(Navigation Research Center, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Jizhou Lai*
Affiliation:
(Navigation Research Center, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Jianye Liu
Affiliation:
(Navigation Research Center, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Mengxin Nie
Affiliation:
(Navigation Research Center, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
*

Abstract

The errors of an inertial navigation system (INS) in response to gyros' errors can be effectively reduced by the rotation technique, which is a commonly used method to improve an INS's accuracy. A gyro's error consists of a deterministic contribution and a stochastic contribution. The compensation effects of gyros' deterministic errors are clear now, but the compensation effects of gyros' stochastic errors are as yet unknown. However, the compensation effects are always needed in a rotational inertial navigation system's (RINS) error analysis and optimization study. In this paper, the compensation effects of gyros' stochastic errors, which are modelled as a Gaussian white (GW) noise plus a first-order Markov process, are analysed and the specific formulae are derived. During the research, the responses of an INS's and a RINS's position error equations to gyros' stochastic errors are first analysed. Then the compensation effects of gyros' stochastic errors brought by the rotation technique are discussed by comparing the error propagation characteristics in an INS and a RINS. In order to verify the theory, a large number of simulations are carried out. The simulation results show a good consistency with the derived formulae, which can indicate the correctness of the theory.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2014 

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References

REFERENCES

Ben, Y.Y., Chai, Y.L., Gao, W. and Sun, F. (2010). Analysis of Error for a Rotating Strap-down Inertial Navigation System with Fibro Gyro. Journal of Marine Science and Application, 9, 419424.Google Scholar
Dushman, A. (1962). On Gyro Drift Models and their Evaluation. IRE Transactions on Aeronautical and Navigational, 9, 230234.Google Scholar
El-Diasty, M. and Pagiatakis, S. (2008). Calibration and Stochastic Modeling of Inertial Navigation Sensor Errors. Journal of Golbal Positioning Systems, 17, 170182.Google Scholar
Flenniken, W., Wall, J. and Bevly, D. (2005). Characterization of Various IMU Error Sources and the Effect on Navigation Performance. Proceedings of ION GNSS, USA.Google Scholar
Groves, P.D. (2013). Principles of GNSS, Inertial, and Multi-sensor Integrated Navigation Systems. Artech House.Google Scholar
Hammon, R.L. (1960). An Application of Random Process Theory to Gyro Drift Analysis. IRE Transactions on Aeronautical and Navigational, 7, 8491.CrossRefGoogle Scholar
Hammon, R.L. (1962). Effects on Inertial Guidance Systems of Random Error Sources. IRE Transactions on Aeronautical and Navigational, 9, 215230.Google Scholar
IEEE Standard Specification Format Guide and Test Procedure for Single-axis Interferometric Fiber Optic Gyros. (1998). IEEE Std 9521997.Google Scholar
Iozan, L.I., Kirkko-Jaakkola, M., Collin, J., Takala, J. and Rusu, C. (2012). Using a MEMS Gyroscope to Measure the Earth's Rotation for Gyrocompassing Applications. Measurement Science and Technology, 23, 025005.Google Scholar
Ishibashi, S., Aoki, T., Yamamoto, I. and Tsukioka, S. (2006). The Method to Improve the Performance of an Inertial Navigation System Using a Turntable. International Offshore and Polar Engineering Conference, USA.Google Scholar
Lai, J.Z., Lv, P., Liu, J.Y. and Jiang, B. (2012a). Noncommutativity Error Analysis of Strapdown Inertial Navigation System under the Vibration in UAVs. International Journal of Advanced Robotic Systems, 9, 136.Google Scholar
Lai, J.Z., Xiong, J., Liu, J.Y. and Jiang, B. (2012b). Improved Arithmetic of Two-Position Fast Initial Alignment for SINS Using Unscented Kalman Filter. International Journal of Innovative Computing, Information & Control, 8, 29292940.Google Scholar
Levinson, E., Horst, J. and Willcocks, M. (1994). The Next Generation Marine Inertial Navigator is Here Now. IEEE Position Location and Navigation Symposium, USA.Google Scholar
Poor, W. (1992). Statistical Estimation of Navigation Errors. IEEE Transaction on Aerospace and Electronic Systems, 28, 428438.Google Scholar
Prikhodko, I.P., Zotov, S.A., Trusov, A.A. and Shkel, A.M. (2011). Sub-degree-per-hour Silicon MEMS Rate Sensor with 1 Million Q-factor. Solid-State Sensors, Actuators and Microsystems Conference, China.CrossRefGoogle Scholar
Qian, W.X., Liu, J.Y., Zhao, W., and Zhu, Y.H. (2009). Novel Method of Improving the Alignment Accuracy of SINS on Revolving Mounting Base. Journal of Systems Engineering and Electronics, 20, 10521057.Google Scholar
Tucker, T. and Levinson, E. (2000). The AN/WSN-7B Marine Gyrocompass/Navigator. Proceedings of the National Technical Meeting of the Institute of Navigation, USA.Google Scholar
Xiong, J., Liu, J.Y., Lai, J.Z. and Jiang, B. (2011). A Marginalized Particle Filter in Initial Alignment for SINS. International Journal of Innovative Computing, Information & Control, 7, 37713778.Google Scholar
Yuan, B.L., Liao, D. and Han, S.L. (2012). Error Compensation of an Optical Gyro INS by Multi-axis Rotation. Measurement Science and Technology, 23, 025102.Google Scholar
Yang, Y. and Miao, L.J. (2004). Fiber-optic Strapdown Inertial System with Sensing Cluster Continuous Rotation. IEEE Transactions on Aerospace and Electronic Systems, 40, 11731178.Google Scholar
Zhang, L.D., Lian, J.X., Wu, M.P. and Hu, X.P. (2012). An Improved Computation Scheme of Strapdown Inertial Navigation System using Rotation Technique. Journal of Central South University of Technology, 19, 12581266.Google Scholar