An Improved Initial Alignment Method for Rocket Navigation Systems

Zhu, Lihua; Cheng, Xianghong

doi:10.1017/s0373463313000295

Cited by 14 publications

(8 citation statements)

References 11 publications

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“…Meanwhile, the process of initial alignment is also transformed into the solution of the known Wahba’s problem. This solution has also been studied for several decades and many methods of solution have been proposed [15,16]. For the solution of ADIA, two types of methods are usually employed, namely the vector cross product and the vector observations, such as ThRee-axIs Attitude Determination (TRIAD), Davenport’s q-method and so on [17,18,19].…”

Section: Introductionmentioning

confidence: 99%

Multistage Attitude Determination Alignment for Velocity-Aided In-Motion Strapdown Inertial Navigation System with Different Velocity Models

Gao

Liu

2019

Sensors

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A novel multistage attitude determination alignment algorithm with different velocity models is proposed to implement the alignment process of in-motion attitude determination alignment (IMADA) aided by the ground velocity expressed in body frame () in this paper. Normally, The-based IMADA is used to achieve the coarse alignment for strapdown inertial navigation system (SINS). The higher the coarse alignment accuracy, the better initial condition can be achieved to guarantee the performance of the subsequent fine alignment. Consider the influence of the principal model errors and the calculation errors on the alignment accuracy in traditional-based IMADA, this paper deals with a novel alignment algorithm by integrating two different velocity-based IMADAs and the multiple repeated alignment processes. The power of this novel alignment algorithm lies in eliminating the principal model errors and decreasing the calculation errors. Then, the higher alignment accuracy is achieved. Simulations and vehicle experiment are performed to demonstrate the validity of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Multistage Attitude Determination Alignment for Velocity-Aided In-Motion Strapdown Inertial Navigation System with Different Velocity Models

Gao

Liu

2019

Sensors

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“…Transfer alignment is the process of initializing the position, velocity and attitude of a slave INS, using the data supplied by another INS known as the master inertial navigation system [John and Leondes (1972)]. As the initial attitude errors cause the navigation errors to increase much rapidly than the initial velocity and position errors [Cheng, Wang and Liu (2014)], thus the relative attitude error of the slave INS with respect to the master INS is a major error source to result in the position error growth after launching the inertial guided weapons [Zhu and Cheng (2013)]. A digital filter method was applied in compensating the lever arm effect [Xu and Wan (1994)].…”

Section: Introductionmentioning

confidence: 99%

Lever Arm Compensation of Autonomous Underwater Vehicle for Fast Transfer Alignment

Wang¹,

Yang²,

Wu³

et al. 2019

Computers, Materials &Amp; Continua

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Transfer alignment is used to initialize SINS (Strapdown Inertial Navigation System) in motion. Lever-arm effect compensation is studied existing in an AUV (Autonomous Underwater Vehicle) before launched from the mother ship. The AUV is equipped with SINS, Doppler Velocity Log, depth sensor and other navigation sensors. The lever arm will cause large error on the transfer alignment between master inertial navigation system and slave inertial navigation system, especially in big ship situations. This paper presents a novel method that can effectively estimate and compensate the flexural lever arm between the main inertial navigation system mounted on the mother ship and the slave inertial navigation system equipped on the AUV. The nonlinear measurement equation of angular rate is derived based on three successive rotations of the body frame of the master inertial navigation system. Nonlinear filter is utilized as the nonlinear estimator for its capability of non-linear approximation. Observability analysis was conducted on the SINS state vector based on singular value decomposition method. State equation of SINS was adopted as the system state equation. Simulation experiments were conducted and results showed that the proposed method can estimate the flexural lever arm more accurately, the precision of transfer alignment was improved and alignment time was shortened accordingly.

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“…Lu proposed that a prefilter consisting of an IIR filter and a Kalman filter using hidden Markov model are designed to attenuate the influence of sensor noise and outer disturbance [10]. However, the method is used to deal with the periodical low-frequency external disturbance and can't remove the high-frequency sway disturbance [11].…”

Section: Introductionmentioning

confidence: 99%

An anti-disturbance high-precision alignment for distributed POS based on inertial reference frame

Bai¹,

Wang²

2017

AIP Conference Proceedings

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An Improved Initial Alignment Method for Rocket Navigation Systems

Cited by 14 publications

References 11 publications

Multistage Attitude Determination Alignment for Velocity-Aided In-Motion Strapdown Inertial Navigation System with Different Velocity Models

Multistage Attitude Determination Alignment for Velocity-Aided In-Motion Strapdown Inertial Navigation System with Different Velocity Models

Lever Arm Compensation of Autonomous Underwater Vehicle for Fast Transfer Alignment

An anti-disturbance high-precision alignment for distributed POS based on inertial reference frame

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