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.
RUDN scientist named neural networks that will help doctors interpret the results of an electroencephalogram (EEG) and other test of brain activity. The best of them works with almost 100% accuracy, while not only giving the result, but explaining why it turned out the way it did.
To obtain information about objects on the earth's surface and in near-Earth space, it is advisable to use not one, but several satellites. Such satellites move in different orbits, but operate as a whole. This allows us to increase the efficiency and accuracy of the obtained data but requires additional efforts to control the relative motion of satellites. RUDN engineers together with colleagues from Malaysia found a way to effectively control such formations of several satellites.
Ice rock, overnight in the mountains and 6100 meters above sea level... A scientist from the Agricultural Technological Institute went on an expedition to the Tien Shan.
RUDN scientist named neural networks that will help doctors interpret the results of an electroencephalogram (EEG) and other test of brain activity. The best of them works with almost 100% accuracy, while not only giving the result, but explaining why it turned out the way it did.
To obtain information about objects on the earth's surface and in near-Earth space, it is advisable to use not one, but several satellites. Such satellites move in different orbits, but operate as a whole. This allows us to increase the efficiency and accuracy of the obtained data but requires additional efforts to control the relative motion of satellites. RUDN engineers together with colleagues from Malaysia found a way to effectively control such formations of several satellites.