Angular rate matching method for shipboard transfer alignment based on H∞ filter

2011 ◽  
Author(s):  
Shen Xiaorong ◽  
Shi Yongzhu
Keyword(s):  
Angular Rate ◽  
Matching Method ◽  
Transfer Alignment

scholarly journals Study on a Twice Transfer Alignment Based on Dual Model

2015 ◽  
Vol 2015 ◽  
pp. 1-5
Author(s):  
Shuai Chen ◽  
Runwu Zhong ◽  
Xiaohui Liu ◽  
Ahmed Alsaedi
Keyword(s):  
Kalman Filter ◽  
Convergence Time ◽  
Alignment Algorithm ◽  
Dual Model ◽  
Matching Method ◽  
Error Models ◽  
Transfer Alignment ◽  
Nonlinear Error ◽  
Dual Models ◽  
Rapid Transfer

This paper proposes a twice rapid transfer alignment algorithm based on dual models in order to solve the problems such as long convergence time, poor accuracy, and heavy computation burden resulting from the traditional nonlinear error models. The quaternion matching method based on quaternion error model along with the extended Kalman filter (EKF) is applied to deal with the large misalignment in the first phase. Then in the second transfer alignment phase, velocity plus attitude matching method as well as classical Kalman filter is adopted. The simulation and the results of vehicle tests demonstrate that this method combines the advantages of both nonlinear and linear error models with the guarantee of accuracy and fastness.

Ship-Borne Transfer Alignment under Low Maneuver

2012 ◽  
Vol 152-154 ◽  
pp. 1155-1158 ◽  
Author(s):  
Xin Liu ◽  
Bo Wang ◽  
Zhi Hong Deng ◽  
Shun Ting Wang
Keyword(s):  
Dynamic Deformation ◽  
Angular Rate ◽  
Estimation Accuracy ◽  
Sea Waves ◽  
Transfer Alignment ◽  
Large Ship ◽  
Matching Filter ◽  
Simulation Results ◽  
Sea Wave

The transfer alignment processes of the ship-borne weapon and the shipboard aircraft are limited by ship0s maneuver, for large ship, it is hope that the transfer alignment can be executed just under the circumstances of sea wave without any intentional ship0s maneuver. Attitude plus angular rate matching and velocity plus attitude matching as the two possible methods which can give accurate estimations of misalignments between MINS and SINS just under swaying maneuver are studied in this paper. Simulation results show that under the circumstance of sea waves and parameters of ships dynamic deformation, attitude plus angular rate matching filter can give better estimations of misalignment angles than velocity plus attitude matching filter. In addition, the estimation accuracy of attitude plus angular rate matching filter is barely affected by sea condition.

scholarly journals Application ofH∞Filter on the Angular Rate Matching in the Transfer Alignment

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Lijun Song ◽  
Zhongxing Duan ◽  
Jiwu Sun
Keyword(s):  
Kalman Filter ◽  
Angular Rate ◽  
Measurement Noise ◽  
Statistical Characteristics ◽  
Engineering Practice ◽  
Interference Signal ◽  
Initial Alignment ◽  
Transfer Alignment ◽  
Color Noise ◽  
System Noise

The transfer alignment (TA) scheme is used for the initial alignment of Inertial Navigation System (INS) on dynamical base. The Kalman filter is often used in TA to improve the precision of TA. And the statistical characteristics of interference signal which is difficult to get must be known before the Kalman filter is used in the TA, because the interference signal is a random signal and there are some changes on the dynamic model of system. In this paper, theH∞filter is adopted in the TA scheme of the angular rate matching when the various stages of disturbance in measurement are unknown. And it is compared with the Kalman filter in the same environment of simulation and evaluation. The result of simulation shows that theH∞filter and the Kalman filter are both effective. The Kalman filter is more accurate than theH∞filter when system noise and measurement noise are white noise, but theH∞filter is more accurate and quicker than the Kalman filter when system noise and measurement noise are color noise. In the engineering practice, system noise and measurement noise are always color noise, so theH∞filter is more suitable for engineering practice than the Kalman filter.

scholarly journals A high-precision and high-order error model for airborne distributed POS transfer alignment

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bin Gu ◽  
Wen Ye ◽  
Zijie Teng ◽  
Hongmei Chen ◽  
Guochen Wang
Keyword(s):  
Process Model ◽  
Spatial Information ◽  
Angular Rate ◽  
Error Model ◽  
High Order ◽  
State Variables ◽  
Order Error ◽  
Transfer Alignment ◽  
Model Based ◽  
Alignment Model

AbstractDistributed position and orientation systems (DPOSs) can provide abundant time-spatial information for interferometric synthetic aperture radar (InSAR) in airborne earth observation systems. However, some key error terms have not been taken into consideration in the traditional low-order error model, which suppresses the performance of the slave POS and further cannot meet the compensation precision of InSAR. To improve the compensation precision, a precise high-order error model with 45 dimensions was derived. Not only does it take into account the influence of scale factor errors and installation errors of the gyro and accelerometer, but it also makes use of random constants and a first-order Markov process model to describe the gyro drift and accelerometer bias. In addition, the flexure angle and its angular rate were added to the state variables of the transfer alignment model. Based on the model, a measurement equation for attitude errors that considers flexure was deduced. Then, a transfer alignment model based on the matching algorithm including position-velocity-attitude was designed. Finally, the proposed model was validated by simulated and real tests, and the experimental results show that its performance is obviously better than that of the traditional model.

GREEN'S FUNCTION MATCHING METHOD FOR REALISTIC CALCULATIONS OF INTERFACES

1985 ◽  
Vol 46 (C4) ◽  
pp. C4-321-C4-329 ◽  
Author(s):  
E. Molinari ◽  
G. B. Bachelet ◽  
M. Altarelli
Keyword(s):  
Green’S Function ◽  
Green's Function ◽  
Matching Method
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