COMPUTER MODELING OF ACCURACY CHARACTERISTICS OF STRAPDOWN INERTIAL NAVIGATION SYSTEM

Authors

  • M. P. Mukhina National Aviation University, Kyiv, Ukraine
  • M. K. Filyashkin National Aviation University, Kyiv, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2019-4-15

Keywords:

Strapdown inertial navigation system, satellite navigation system, strapdown gyrovertical, dead reckoning, data fusion.

Abstract

Context. The problem of correction for operation of strapdown inertial navigation system used for unmanned aerial vehicle is urgent because of further increased requirements to autonomous flight in blackout zones. The object of the study was to simulate the accuracy characteristics of strapdown inertial navigation system based on known (or given) instrument errors of its sensors.
Objective. The goal of the work is to develop a mathematical and computer model of the strapdown inertial navigation system
and estimate its accuracy characteristics based on given values of sensor errors.
Method. The mathematical and computer models of the strapdown inertial navigation system based on slow, medium and fast
cycles are developed. For the simulation of accuracy characteristics, the strapdown inertial navigation system is represented as a set of dynamic and kinematic equations in local tangent plane coordinate system with the Earth’s model taking into account components of gravity acceleration. The models of sensors are developed based on characteristics of low-cost microelectromechanical sensors used onboard. Data fusion algorithms were previously considered and include modified Kalman filter or, for some cases, complimentary filter by compensation scheme, but not considered here in details. Direction cosine matrix for strapdown inertial navigation system algorithms is found by Poisson’s method.
Results. The developed models have been realized and simulated in MATLAB+Simulink. Initial parameters (errors of the primary
information sensors and the flight conditions) during simulation have been varied: medium, high and low latitudes; direction of
flight (along and across the meridian; on and against the direction of rotation of the Earth).
Conclusions. The developed models and their simulations have been compared with actual testing results of strapdown gyrovertical
СБКВ-П2А and confirmed the validity. It allow us to recommend them for use in designing strapdown inertial navigation system
of unmanned aerial vehicle, as well as for experimental study of innovative data fusion algorithms for integrated satellite and
inertial navigation system.

Author Biographies

M. P. Mukhina, National Aviation University, Kyiv

Dr. Sc., Professor, Professor of Department of Aviation Computer-Integrated Complexes

M. K. Filyashkin, National Aviation University, Kyiv

PhD, Professor, Professor of Department of Aviation Computer-Integrated Complexes

References

Goshen-Meskin D., Bar-Itzhack I. Y. Unified approach to inertial navigation system error modeling, Journal of Guidance,

Control, and Dynamics, 1992, Vol. 15, No. 3, pp. 648–653.

Wu Y. Strapdown inertial navigation using dual quaternion algebra: error analysis, IEEE Transactions on Aerospace and

Electronic Systems, 2006, Vol. 42, No. 1, pp. 259–266.

Golovan A. A., Demidov O. V., Vavilova N. B. On GPS/GLONASS/INS tight integration for gimbal and strapdown

systems of different accuracy, IFAC Proceedings Volumes, 2010, Vol. 43, No. 15, pp. 505–509.

Filyashkin M. K. Method of measuring of angular orientation parameters in micromechanical inertial-satellite navigation systems,

Electronics and control systems, 2014, No. 4, pp. 18–24.

Filyashkin M. K., Mukhina M. P. Data fusion schemes in aided navigation systems, Electronics and control systems, 2013, No.

, pp. 11–18.

Quinchia A. A comparison between different error modeling of MEMS applied to GPS/INS integrated systems, Sensors, 2013,

Vol. 13, No. 8, pp. 9549–9588.

Zhang X. Allan variance analysis on error characters of MEMS inertial sensors for an FPGA-based GPS/INS system, Proceedings

of the International Symposium on GPS/GNNS, 2008, pp. 127–133.

George M., Sukkarieh S. Tightly coupled INS/GPS with bias estimation for UAV applications, Proceedings of Australiasian

Conference on Robotics and Automation (ACRA), 2005.

Mackison D. L. Review of strapdown inertial navigation technology, Journal of Guidance, Control, and Dynamics, 1998,

Vol. 21, No. 6, pp. 1018–1018.

Shaeffer D. K. MEMS inertial sensors: A tutorial overview, IEEE Communications Magazine, 2013, Vol. 51, No. 4,

pp. 100–109.

Filyashkin M. K., Rogozhyn V.O., Skrypets A.V., Lukinova T.I. Inertial-satellite navigation systems. Kyiv, NAU, 2008,

p.

Bin W. Study on adaptive GPS/INS integrated navigation system, Proceedings of the 2003 IEEE International Conference on

Intelligent Transportation Systems, IEEE, 2003. Vol. 2, pp. 1016–1021.

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Published

2019-11-25

How to Cite

Mukhina, M. P., & Filyashkin, M. K. (2019). COMPUTER MODELING OF ACCURACY CHARACTERISTICS OF STRAPDOWN INERTIAL NAVIGATION SYSTEM. Radio Electronics, Computer Science, Control, (4), 157–165. https://doi.org/10.15588/1607-3274-2019-4-15

Issue

Section

Progressive information technologies