RUDN scientists have developed a new method for determining the orientation of objects in the antenna complex based on measurements of a strapdown inertial system

It is established that modern methods for determining orientation using measurements of satellite navigation systems or inertial orientation systems do not provide the required accuracy for solving the problem of orientation of large or medium-sized objects. In this regard, a new dynamic algorithm for estimating stochastic orientation parameters has been developed that is invariant to the nature of the base movement and provides stability and the required accuracy of estimation under the most General assumptions about the nature of interference of sensitive elements of a strapdown inertial orientation system built on the basis of WSG. The Rodriguez-Hamilton parameter vector is used as the observed vector of orientation parameters, and the accelerometer output signal is proposed to be used as its observer. Based on the stochastic nonlinear equations of the vector of parameters of the current orientation and the equations of stochastic models of accelerometer output signals constructed for the most General case of object motion, a generalized Kalman filter was formed that provides a General solution to the problem of estimating the orientation parameters of an arbitrary structure on a movable base. The results of numerical simulation confirmed the possibility of using the developed method for solving the problem of high-precision orientation determination without correction from global satellite navigation systems over a long time interval.

An article in the journal Measurement techniques.