Damping Gimballess Inertial Navigation Systems

Grammatikos, Anthony; Schuler, Alfred R.; Fegley, K. A.

doi:10.1109/taes.1967.5408813

Cited by 14 publications

(4 citation statements)

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“…Traditional level damping technology includes internal level damping technology and external level damping technology. In the absence of external reference velocity, the internal level damping technology can suppress the Schuler oscillation errors, however, the internal level damping technology is sensitive to the maneuvering of the ships [ 24 , 25 ]. In order to overcome the shortcomings of the internal level damping technology, when the external device such as the Doppler Velocity Log (DVL) can provide an accurate reference velocity, the external level damping technology can suppress the Schuler oscillation errors with the aid of the reference velocity, and this method is not sensitive to the maneuvering of the ships [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

A Damping Grid Strapdown Inertial Navigation System Based on a Kalman Filter for Ships in Polar Regions

Huang

Fang

Luo

et al. 2017

Sensors

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The grid strapdown inertial navigation system (SINS) used in polar navigation also includes three kinds of periodic oscillation errors as common SINS are based on a geographic coordinate system. Aiming ships which have the external information to conduct a system reset regularly, suppressing the Schuler periodic oscillation is an effective way to enhance navigation accuracy. The Kalman filter based on the grid SINS error model which applies to the ship is established in this paper. The errors of grid-level attitude angles can be accurately estimated when the external velocity contains constant error, and then correcting the errors of the grid-level attitude angles through feedback correction can effectively dampen the Schuler periodic oscillation. The simulation results show that with the aid of external reference velocity, the proposed external level damping algorithm based on the Kalman filter can suppress the Schuler periodic oscillation effectively. Compared with the traditional external level damping algorithm based on the damping network, the algorithm proposed in this paper can reduce the overshoot errors when the state of grid SINS is switched from the non-damping state to the damping state, and this effectively improves the navigation accuracy of the system.

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Section: Introductionmentioning

confidence: 99%

A Damping Grid Strapdown Inertial Navigation System Based on a Kalman Filter for Ships in Polar Regions

Huang

Fang

Luo

et al. 2017

Sensors

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“…This is very detrimental to high-precision navigation systems that work over a long time [4][5][6]. Therefore, periodic oscillation errors have to be damped through damping techniques [7,8].…”

Section: Introductionmentioning

confidence: 99%

Damping strapdown inertial navigation system based on a Kalman filter

Zhao

Cheng

et al. 2016

Meas. Sci. Technol.

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A damping strapdown inertial navigation system (DSINS) can effectively suppress oscillation errors of strapdown inertial navigation systems (SINSs) and improve the navigation accuracy of SINSs. Aiming at overcoming the disadvantages of traditional damping methods, a DSINS, based on a Kalman filter (KF), is proposed in this paper. Using the measurement data of accelerometers and calculated navigation parameters during the navigation process, the expression of the observation equation is derived. The calculation process of the observation in both the internal damping state and the external damping state is presented. Finally, system oscillation errors are compensated by a KF. Simulation and test results show that, compared with traditional damping methods, the proposed method can reduce system overshoot errors and shorten the convergence time of oscillation errors effectively.

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“…In the recent years, with the development of this technique, its application is more and more widely. Before the laser gyro strap-down inertial navigation system ploughed into use, several important tests need to be done first, including static test, dynamic test, and the electromagnetic compatibility test [5][6][7][8]. This paper presents the static test of the laser gyro strap-down inertial navigation system both in the self-navigation and the integrated navigation.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Laser Gyro Strap-down Inertial Navigation System for its Self-Navigation and Integrated-Navigation Experiments in the Static State

Mao¹,

Ou²,

Zhao³

2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

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In this paper, the test for the laser gyro strap-down inertial navigation system is studied. The self-navigation and the integrated navigation are introduced. By comparing the measuring results with the real data, the accuracy for the integrated-navigation is obtained. The errors for the head, the roll and the pitch are 11.16″, 3.52″, 2.08″, for the location is 0.13m. In the same way, the accuracy for the self-navigation is obtained. The errors for the head, the roll and the pitch are 15.17″, 3.74″, 5.22″, for the location is 0.56m. As a result, we can find that the accuracy for the integrated navigation is better than the self-navigation, however they both agree well with the designing results.

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Damping Gimballess Inertial Navigation Systems

Cited by 14 publications

References 1 publication

A Damping Grid Strapdown Inertial Navigation System Based on a Kalman Filter for Ships in Polar Regions

A Damping Grid Strapdown Inertial Navigation System Based on a Kalman Filter for Ships in Polar Regions

Damping strapdown inertial navigation system based on a Kalman filter

Analysis of Laser Gyro Strap-down Inertial Navigation System for its Self-Navigation and Integrated-Navigation Experiments in the Static State

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