Analysis and Suppression of Nonlinear Error of Pendulous Integrating Gyroscopic Accelerometer at Instrument Level

Zhou, Xiaojun; Yang, Gongliu; Niu, Wentao; Tu, Yongqiang

doi:10.3390/s23031221

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…With the development of the INS, the demands on accuracy, reliability, and measuring range of accelerometers have steadily increased. In consequence, accelerometers in different structure and measuring method have been successfully developed to meet the needs of applications in various fields, including Electrostatic accelerometer, MEMS accelerometer, Quartz Flexible Accelerometer (QFA) [5][6][7] etc. The majority of accelerometer research focusses on temperature compensation, calibration of output errors, structure optimisation, and servo circuits design [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Mechanical model analysis and reliability design approach of Quartz Flexible Accelerometer under fractured state

Xiao

Zhang

Song

et al. 2023

IET Circuits, Devices & Syst

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Currently, the Quartz Flexible Accelerometer (QFA) mounted for the applications working in high acceleration environment are suffering from the fracture of the flexible beams under external acceleration shock. This paper presents the mechanical model and reliability design approach of QFA to maintain the measuring ability under a fractured state. The structural parameters changed significantly in the mechanical model under a fractured state compared to those in the original model. A modified structure to maintain the measuring ability of QFA under a fractured state is designed with the reference of the sensitive module in Electrostatic Suspended Accelerometer (ESA). The corresponding close‐loop system is corrected and discretised to ensure the stability requirements of the mechanical model. A static experiment is conducted to prove the effectiveness of the proposed model by a prototype QFA with completely fractured flexible beams. The result shows helpful on the preliminary research for QFA with the similar sensitive structure to ESA.

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Section: Introductionmentioning

confidence: 99%

Mechanical model analysis and reliability design approach of Quartz Flexible Accelerometer under fractured state

Xiao

Zhang

Song

et al. 2023

IET Circuits, Devices & Syst

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“…Thus, to improve the navigation accuracy of PIGA-based INS, it is critical to suppress the nonlinear error of PIGA at the instrument level. According to an analysis of nonlinear error of PIGA in the literature [ 27 ], the nonlinear error includes a quadratic term error caused by unequal inertia and product of inertial (POI) of the float assembly, a cross-coupling error caused by lateral accelerations and an error caused by unequal stiffness; and the POI of the float assembly is the most critical factor contributing to nonlinear error. Thus, the key to nonlinear error suppression for PIGA at instrument level is the precise measurement and compensation of the POI of the float assembly so that the POI is close to zero.…”

Section: Introductionmentioning

confidence: 99%

Precise Measurement and Compensation of the Micro Product of Inertia for Float Assembly in Pendulous Integrating Gyroscopic Accelerometers

Zhou

Yang

Niu

et al. 2023

Sensors

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Nonlinear error has become the most critical factor restricting the measurement accuracy of pendulous integrating gyroscopic accelerometers (PIGA) during their improvement. The key to nonlinear error suppression for PIGA is the precise measurement and compensation of the micro product of inertia (MPOI) of the float assembly. However, the existing equipment and procedure for product of inertia (POI) measurement and compensation do not meet the accuracy requirements for MPOI. To solve this problem, novel equipment and procedures are proposed for the measurement and compensation of MPOI. The principle of the proposed measurement method is to simulate the error produced by MPOI in PIGA by using a single-axis turntable to rotate the float assembly along the eccentric axis to generate a centrifugal moment due to MPOI. The principle of the proposed compensation method is to remove the asymmetric mass to reduce the MPOI to zero. Through experimental validation, it is concluded that: (1) the measurement and compensation accuracy of the proposed method are better than 1 × 10−10 kg·m2 and 3 × 10−10 kg·m2, respectively; (2) the proposed method is validated as the MPOI is reduced from 7.3 × 10−9 kg·m2 to 3 × 10−10 kg·m2 for a real float assembly in PIGA, and the quadratic error of PIGA is reduced from 10−5/g0 to 3 × 10−7/g0.

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“…Inertial navigation systems (INS) measure a train's speed and directional changes using inertial sensors and calculate its current position based on its initial position using dead reckoning [16][17][18]. Its advantages include independence from external signals, good real-time performance, reliability even in signal-obstructed environments, and the ability to obtain comprehensive navigation information, including speed, position, and attitude [19][20][21]. However, due to the working principle of dead reckoning, INS is susceptible to cumulative errors, which gradually increase over time and require correction through other means [22].…”

Section: Introductionmentioning

confidence: 99%

Estimation and Compensation of Heading Misalignment Angle for Train SINS/GNSS Integrated Navigation System Based on Observability Analysis

Chen,

Yang,

2023

Applied Sciences

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The inertial Navigation Systems/global navigation satellite system (SINS/GNSS) has become a research hotspot in the field of train positioning. However, during a uniform straight-line motion period, the heading misalignment angle of the SINS/GNSS is unobservable, resulting in the divergence of the heading misalignment angle and ultimately causing a divergence in the train’s speed and position estimation. To address this issue, this paper proposes an estimation and compensation method for the heading misalignment angle for train SINS/GNSS integrated navigation system based on an observability analysis. When the train enters a straight-line segment, the alignment of the train’s sideslip angle and the satellite velocity heading angle allows the achievement of velocity heading observation values that resolve the issue. In a curved segment, the heading angle becomes observable, allowing for an accurate estimation of the SINS’s heading misalignment angle using GNSS observations. The results showed that, whether the train is on a straight or curved track, the position estimation accuracy meets the simulation design criteria of 0.1 m, and the heading accuracy is better than 0.25°. In comparison to the results of pure GNSS position and velocity-assisted navigation, where heading divergence occurs during constant velocity straight-line segments, the method proposed in this paper not only converges but also achieves an accuracy comparable to the GNSS velocity-based heading alignment. The simulation results demonstrate that the proposed strategy significantly improves the accuracy of the heading misalignment angle estimation, thereby enhancing the accuracy of speed and position estimation under a GNSS-denied environment.

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Analysis and Suppression of Nonlinear Error of Pendulous Integrating Gyroscopic Accelerometer at Instrument Level

Cited by 4 publications

References 31 publications

Mechanical model analysis and reliability design approach of Quartz Flexible Accelerometer under fractured state

Mechanical model analysis and reliability design approach of Quartz Flexible Accelerometer under fractured state

Precise Measurement and Compensation of the Micro Product of Inertia for Float Assembly in Pendulous Integrating Gyroscopic Accelerometers

Estimation and Compensation of Heading Misalignment Angle for Train SINS/GNSS Integrated Navigation System Based on Observability Analysis

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