FILTERING AND PARAMETERS ESTIMATION IN GYROS WITH AN ELASTIC SUSPENSION
In the paper the method and algorithm for increasing the accuracy of micromechanical gyroscopes is considered. This method is based on using of Kalman filter for estimation of motion of sensing mass relatively output axis. This estimation is very effective because deflections of sensing mass relatively output axis are very small and measure by same angular minutes for micromechanical gyros (MMG) RR scheme. For this reason the level of the noises in the measurements are very significant. The paper presents a result of investigations of ability using Kalman filter for estimation parameters of MMG and angular rate of the mobile craft in which this gyroscope installed. Results of simulation are given and the questions of realization are considered.