Identification of Uncertainty Factors of Operating Conditions of a One-Channel Attitude Control System

Abstract

A version of simulated mathematical model (SMM) of a one-channel attitude automatic control system (ACS) for a platform based on an angular velocity sensor (AVS) is presented that is capable to identify random factors defining conditions of ACS functioning: disturbance torque acting on the platform and initial measurement errors (additive and multiplicative AVS errors). Values of above-listed uncertainty factors of measurement data and external inputs on the observation interval are set as random numbers that stay constant on this interval. The presented model version allows to determine with high fidelity the temporal evolution of measurement errors of the platform state variables on the observation interval. The purpose of the parametrical identification algorithm – creating such a sequence of trial values of AVS errors to be found that would provide extremum adjustment of the identification performance functional. In the designed ACS model an estimate of the disturbance torque acting on the platform is calculated by the end of the above mentioned search. Thus the task of identification of all random parameters defining the conditions of the ACS is completed.