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Proceedings ArticleDOI

Compensation of synchronization error of SIMU and experimental validation

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TLDR
Aiming at the phase frequency characteristic difference of inertial components, time delay parameters are calculated through establishing the relationship between the accelerometer time delay and navigation accelerometer speed error, and the compensation are directly achieved with the inertial velocity updating algorithm.
Abstract
Strap-down inertial measurement unit (SIMU) is composed of three gyroscopes and three accelerometers, however there often exists space synchronization error and time synchronization error caused by the limitation of installation and the phase frequency characteristics of its inertial device. Space synchronization error, called lever-arm error or size effect error, is navigation error which is caused by the misalignment of three accelerometers measurement points. Time synchronization error (also called time delay error) is caused by difference between phase frequency characteristics of gyroscope and accelerometer. Under the condition of the non-orthogonal installation of the accelerometer, it establishes mathematical model of the lever-arm error and it can get parameters of the lever-arm by designing a simple experiment method. Aiming at the phase frequency characteristic difference of inertial components, time delay parameters are calculated through establishing the relationship between the accelerometer time delay and navigation accelerometer speed error, and the compensation are directly achieved with the inertial velocity updating algorithm. Then, verify the rationality of theoretical analysis by means of the turntable experiment. At last, the final conclusion is provided.

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Citations
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Journal ArticleDOI

A novel hybrid calibration method for FOG-based IMU

TL;DR: A high precision FOG hybrid grading calibration method using low-cost turntable to realize high precision calibration of FOG-IMU sensors using combination method of coarse and accurate calibration.
Proceedings ArticleDOI

Optimal inner lever-arm parameters calibration method of high-precision FOG-IMU based on sinusoidal swing scheme

TL;DR: An effective sinusoidal swing scheme is designed to calibrate the parameters of 9-dimensional inner lever-arm parameters, which can obtain higher accuracy parameters through theoretical analysis and simulation and significantly reduce the velocity errors of the actual FOG-IMU system after compensation, improving its navigation performance.
Proceedings ArticleDOI

A hybrid grading calibration method of FOG-IMU and its experimental verification

TL;DR: A high-precision grading calibration method for fiber optic gyro inertial measurement unit (FOG-IMU) calibration, in which the effects of the lever-arm are considered and sensors' parameters are compensated effectively.
References
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Journal ArticleDOI

Strapdown Inertial Navigation Integration Algorithm Design Part 1: Attitude Algorithms

TL;DR: The overall design requirement for the strapdown inertial navigation integration function is considered and direction cosine and quaternion forms for the attitude updating algorithms are developed and design of the velocity and position integration algorithms are dealt with.
Journal ArticleDOI

Strapdown Inertial Navigation Integration Algorithm Design Part 2 : Velocity and Position Algorithms

TL;DR: Savage et al. as discussed by the authors provided a rigorous comprehensive approach to the design of the principal software algorithms utilized in modern-day strapdown inertial navigation systems: integration of angular rate into attitude, acceleration transformation/integration into velocity, and integration of velocity into position.
Journal Article

Analysis and compensation on inner lever arm effect of strapdown inertial measurement unit

TL;DR: In this article, the authors analyzed the mechanism of ILAEVE in detail, and some velocity error formulas were deduced by assuming that accelerometer's sense axes were perpendicular to each other and the three axes intersect at one point.
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