Study of a Novel Rapid Transfer Alignment Algorithm

Zhou Shaolei; Dai Hongde; Xu Hualong; Wu Guangbin
October 2011
Journal of Control Engineering & Technology;Oct2011, Vol. 1 Issue 2, p118
Academic Journal
Transfer alignment of strapdown inertial navigation system (SINS) for the ship-borne equipment, always utilize the message from master inertial navigation system on the ship. Rapid transfer alignment methods such as "velocity plus attitude" and "velocity plus rate" has been developed by researchers in this area, for the improvement of the rapidness of the transfer alignment, but the accuracy is poor when the flexure of the ship is grievous under abominable environment, the previous research shows that the flexure along different axis of the ship is always not the same, aiming at this problem, theoretical analysis of the effect about the flexure along every axis on the transfer alignment accuracy has been done, find out that the rate of the ship, which is disturbed by flexure rate seriously, depressed the transfer alignment accuracy much more than the other two axis, based on the theoretical analysis, a new rapid transfer alignment prototype named "velocity plus partial rate" matching is presented, by subtracting that rate of the ship from the conventional rate measurement message. Sufficiently utilizing the sway maneuver and avoiding the influence of the flexure, can obtain higher precision and less computational cost than the "velocity plus rate" matching rapid transfer alignment, while the flexure of a certain axis is severity. Simulation system is developed for the evaluation of the presented algorithm, results show that the presented method can obtain higher accuracy than the "velocity plus rate" matching rapid transfer alignment under worse environment, and evidently reduce the computational cost while applying Kalman filter for the estimation task.


Related Articles

  • Using data assimilation method to calibrate a heterogeneous conductivity field conditioning on transient flow test data. Tong, Juxiu; Hu, Bill; Yang, Jinzhong // Stochastic Environmental Research & Risk Assessment;Dec2010, Vol. 24 Issue 8, p1211 

    data assimilation method is developed to calibrate a heterogeneous hydraulic conductivity field conditioning on transient pumping test data. The ensemble Kalman filter (EnKF) approach is used to update model parameters such as hydraulic conductivity and model variables such as hydraulic head...

  • Object tracking system using Camshift, Meanshift and Kalman filter. SALHI, Afef; JAMMOUSSI, Ameni YENGUI // World Academy of Science, Engineering & Technology;2012, Issue 64, p674 

    This paper presents a implementation of an object tracking system in a video sequence. This object tracking is an important task in many vision applications. The main steps in video analysis are two: detection of interesting moving objects and tracking of such objects from frame to frame. In a...

  • Research on Target Tracking Algorithm based on Improved Mean Shift and Kalman Filter. Bian Minjie; Honghao Gao // International Journal of Database Theory & Application;2014, Vol. 7 Issue 3, p219 

    In this paper we discuss about a target tracking algorithm based on Mean Shift and Kalman Filter, which is suitable for high speed moving target tracking. The basic Mean Shift algorithm is described in this paper as well. Although basic Mean Shift algorithm can realize target tracking without...

  • An Ensemble Kalman Filter for severe dust storm data assimilation over China. Lin, C.; Wang, Z.; Zhu, J. // Atmospheric Chemistry & Physics;2008, Vol. 8 Issue 11, p2975 

    An Ensemble Kalman Filter (EnKF) data assimilation system was developed for a regional dust transport model. This paper applied the EnKF method to investigate modeling of severe dust storm episodes occurring in March 2002 over China based on surface observations of dust concentrations to explore...

  • PREDICTIVE GUIDANCE INTERCEPT USING THE NEURAL EXTENDED KALMAN FILTER TRACKER. Stubberud, S. C.; Kramer, K. A. // Control & Intelligent Systems;2007, Vol. 35 Issue 3, p228 

    The target intercept problem has two main components. The first is the development of a control loop for the interceptor. The second is the target-tracking system that provides the location of the target to the control law. The tracking system is a significant element, particularly when...

  • Angular Rate Estimation Using a Distributed Set of Accelerometers. Sungsu Park; Sung Kyung Hong // Sensors (14248220);2011, Vol. 11 Issue 11, p10444 

    A distributed set of accelerometers based on the minimum number of 12 accelerometers allows for computation of the magnitude of angular rate without using the integration operation. However, it is not easy to extract the magnitude of angular rate in the presence of the accelerometer noises, and...

  • Speed estimation and control in a belt-driven system for a web production process. Part 2: control strategy. Makin, E; Acarnley, P // Proceedings of the Institution of Mechanical Engineers -- Part E;2004, Vol. 218 Issue 1, p25 

    This paper addresses the problem of estimating and controlling the speed of a belt-driven casting drum in a web production process, where direct measurement of drum speed is infeasible. Techniques for estimating web tension and casting drum speed, using measured values of brake and drive torque...

  • Outlier-Tolerant Kalman Filter of State Vectors in Linear Stochastic System. Hu Shaolin; Meinke, Karl; Huajiang Ouyang; Sun Guoji // International Journal of Advanced Computer Science & Application;Dec2011, Vol. 2 Issue 12, p37 

    The Kalman filter is widely used in many different fields. Many practical applications and theoretical results show that the Kalman filter is very sensitive to outliers in a measurement process. In this paper some reasons why the Kalman Filter is sensitive to outliers are analyzed and a series...

  • Stochastic Real-Time Optimal Control for Bearing-Only Trajectory Planning. Ross, Steven M.; Cobb, Richard G.; Baker, William P. // International Journal of Micro Air Vehicles;Mar2014, Vol. 6 Issue 1, p1 

    A method is presented to simultaneously solve the optimal control problem and the optimal estimation problem for a bearing-only sensor. For bearing-only systems that require a minimum level of certainty in position relative to a source for mission accomplishment, some amount of maneuver is...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics