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A methodological use of inertial navigation systems for strapdown navigation task

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), 2017
This paper presents a study of mathematical description for inertial navigation systems and integration of virtual sensors implementation. Virtual sensors allow to estimate quantities detecting events or changes in its environment, to calculate variables such velocity, position and attitude on rigid or mobile bodies of navigation systems. Recently, the
Moisés Jesús Castro-Toscano   +6 more
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Strapdown inertial navigation algorithm in geometric algebra

2011 International Conference on Electrical and Control Engineering, 2011
Geometric algebra(GA) is a very convenient representational and computational system for geometry due to its clear geometrical meanings and simple notations. The rigid body motion is represented by motors in GA. We derive the kinematic equation of motors, and associate motors with specific force acceleration and angular rate which can be measured in ...
Dimin Wu, Zhengzhi Wang
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Formalizing a Sequential Calibration Scheme for a Strapdown Inertial Navigation System

Automation and Remote Control, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexey V. Derevyankin   +1 more
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The State of Strapdown Inertial Guidance and Navigation

Navigation, 1971
The prospect of simplifying inertial navigation systems by strapping the sensors directly to the vehicle, as commonly done in attitude control systems, has continued to intrigue investigators. Interest has persisted through the many years that have seen the gimballed, inertially stabilized platform reach maturity in military applications, in space ...
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Study of strapdown inertial navigation integration algorithms

2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings., 2005
This paper proposes an approach to update the attitude and velocity synchronously utilizing the fourth order Runge-Kutta in the strapdown inertial navigation system. The synchro-updating algorithm is designed for the condition, in which the outputs of gyroscope are the angular rate and the outputs of accelerometer are the specific force acceleration ...
null Yanling Hao   +3 more
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Modified strapdown inertial navigator error models

Proceedings of 1994 IEEE Position, Location and Navigation Symposium - PLANS'94, 2002
The paper revisits the problem of error modeling for strapdown INS for the purpose of navigation sensor blending with a Kalman filter. This problem has been addressed repeatedly over the last 30 years, and different perspectives on INS error modeling have emerged.
B.M. Scherzinger, D.B. Reid
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Multiposition alignment of strapdown inertial navigation system

IEEE Transactions on Aerospace and Electronic Systems, 1993
The authors demonstrate that the stationary alignment of strapdown inertial navigation system (SDINS) can be improved by employing the multiposition/technique. Using an observability analysis, it is shown that an optimal two-position alignment not only satisfies complete observability conditions but also minimizes alignment errors.
J.G. Lee, C.G. Park, H.W. Park
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Navigation Computation in Terrestrial Strapdown Inertial Navigation Systems

IEEE Transactions on Aerospace and Electronic Systems, 1977
The problem of computing the translational velocity and position relative to earth, which has to be solved by the processor of a strapdown inertial navigation system is discussed. Several approaches are briefly examined with consideration given to the form in which the sensor data are generated and to the computational burden involved in each approach.
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Gyrocompassing mode of the strapdown inertial navigation system

2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2017
A gyrocompassing mode of the strapdown inertial navigation systems (SINS) was presented. SINS has been composed of Inertial Measurement Unit (IMU) and navigation computer. IMU consists of triad accelerometers, gyroscopes and a circuit of signal processing.
Xing Xiangming   +2 more
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