Soft Fault Diagnosis and Recovery Method Based on Model Identification in Rotation FOG Inertial Navigation System

Wang, Lingcao; Li, Kui; Zhang, Jun; Ding, Zhenxing

doi:10.1109/jsen.2017.2722544

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Inertial navigation systems (INSs) are widely used in military carriers due to their concealment, autonomy and antijamming, which can provide full-scale motion information including velocities, positions and attitudes [1,2]. The rotational inertial navigation system (RINS) is considered to be an epoch-making advance in inertial technologies, because gyro drifts and accelerometer biases can be modulated by rotating the inertial measurement unit (IMU) periodically, thereby restricting the accumulation of navigation errors [3,4]. The dual-axis RINS and multi-axis RINS can suppress inertial sensor errors in all three directions, which can better accommodate long-term navigation [5].…”

Section: Introductionmentioning

confidence: 99%

An improved self-calibration method with consideration of inner lever-arm effects for a dual-axis rotational inertial navigation system

Song

et al. 2020

Meas. Sci. Technol.

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In high-precision navigation applications, a well-designed self-calibration method is a convenient approach to ensuring the positioning performance of a rotational inertial navigation system (RINS). Benefiting from the gimbal structure, traditional inertial measurement unit (IMU) sensor errors, including gyro drifts, accelerometer biases, scale factor errors and installation errors, could be estimated through a filter process under a proper rotation scheme. However, when the IMU rotates, inner lever-arm effects may bring additional errors to the observations, which may reduce the self-calibration accuracy. In this paper, an improved self-calibration method that includes consideration of the inner lever-arm effect is proposed for a dual-axis RINS. Based on analysis of the error propagation characteristics, a novel rotation scheme with variable angular rate is designed. By adopting the proposed self-calibration method, traditional IMU sensor errors can achieve much higher accuracy, and the inner lever-arm parameters can also be well calibrated simultaneously. Long-term vehicle navigation indicates that the positioning accuracy was significantly enhanced after the compensation of the calibration results, fully illustrating the effectiveness of the proposed method in ameliorating navigation performance for the dual-axis RINS.

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Section: Introductionmentioning

confidence: 99%

An improved self-calibration method with consideration of inner lever-arm effects for a dual-axis rotational inertial navigation system

Song

et al. 2020

Meas. Sci. Technol.

Self Cite

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“…It is of great significance to having alternative terrestrial backup system to cope with a glitch or even a complete failure of GNSS [ 1 ]. Several navigation systems for maritime applications are developed, including the e-Loran system [ 2 , 3 , 4 , 5 ], inertial navigation system [ 6 , 7 ], terrain referenced navigation system [ 8 ], vessel traffic service and coastal surveillance system [ 9 ], etc. In the world-wide radio navigation plan (WWRNP) developed by the IMO and the International Association of Lighthouse Authorities (IALA), the ranging mode (R-Mode) based on the automatic identification system (AIS) as a ground-based alternative system to GNSS is listed explicitly.…”

Section: Introductionmentioning

confidence: 99%

An Improved Positioning Method for Two Base Stations in AIS

Jiang

Zhang

2018

Sensors

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Resilient position, navigation, and timing (PNT) data is indispensable information in the field of e-navigation. An automatic identification system (AIS) based ranging mode (R-Mode) is put forward to develop a terrestrial backup system in order to overcome the vulnerability of the global navigation satellite system (GNSS). In general, at least three base stations are required in the traditional R-Mode positioning method. However, the geometric distribution of existing base stations is not considered for positioning, as AIS is a communication system. In some cases, a vessel can only receive signals from two base stations. In this paper, an improved position estimation method based on displacement correction is therefore proposed to solve this problem. Compared with the prior displacement correction position estimation (DCPE) method, the proposed method can improve positioning accuracy effectively by adopting a more precise motion model for the vessel, including an accelerated motion and a turning motion model. Moreover, the motion model is employed adaptively to correct the displacement of the vessel. Finally, the proposed method is verified and the performance is analyzed and compared by simulation. This study can extend the application region of AIS R-Mode.

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Anti-spoofing Kalman filter for GPS/rotational INS integration

Liang

2022

Measurement

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Soft Fault Diagnosis and Recovery Method Based on Model Identification in Rotation FOG Inertial Navigation System

Cited by 7 publications

References 23 publications

An improved self-calibration method with consideration of inner lever-arm effects for a dual-axis rotational inertial navigation system

An improved self-calibration method with consideration of inner lever-arm effects for a dual-axis rotational inertial navigation system

An Improved Positioning Method for Two Base Stations in AIS

Anti-spoofing Kalman filter for GPS/rotational INS integration

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