Research on the effect of ship's deck deflection on angular rate matching based transfer alignment process

Abstract

This paper analyzes reasons of ship-carrier deck deformation and its effect on parameters of SINS Attitude Heading Reference System (SAHRS). With second order Markov stochastic process theory it constructs ship's deck deformation model. According to inertial measurement matching method, it formulates the dynamic system equation and the observation equation based on angular-rate matching algorithm. And then it evaluates the system model with Kalman filtering. Furthermore, this paper proposes an iterative filtering system equation according to the property of dynamic system and evaluates the performance with iterative filtering algorithm. From simulation results we can see, the Kalman filtering algorithm can effectively eliminate the effect of ship's deck deformation error, decrease the error of transfer alignment system, and significantly improve its precision, similar to that of the iterative filtering method. But in the iterative filtering algorithm, at the initial iteration period, the iterative results can effectively track output value of the system model, and with the iterative number increasing its tracking error increases gradually. So from the perspective of system design requirements the Kalman filtering algorithm is superior to the iterative filtering algorithm. Research results in this paper have important theoretical and application value in the study or design of high-precision transfer alignment system based on shipboard.