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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.

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This work is devoted to the important problem of the contemporary automatic control theory – creation of integrated technologies of design of ACS (Automatic Control Systems). Such technologies must provide complex solution of the controlled object’s state evaluation and synthesis of the control law. The main practical result would be ACS accuracy increase. The new concept of ACS design for realization of integrated technologies conditions the urgency to confirm its efficacy’s by applied results in creation of concrete working systems. Research in this direction of automatic control theory is at its initial stage, at which it is important to evaluate possibilities of new technologies on simple ACS’ functioning models. The author presents a model of a one-channel attitude control system for a platform based on an angular velocity sensor providing instantaneous posterior estimation of platform’s rotation angle error. Values of the disturbance torque, acting on the platform, and angular velocity measurement errors on the considered observation interval are set as random numbers that stay constant on this interval. The author presents the analysis of control and state evaluation for the object of control, implemented by the synthesized system for two versions of the object: in the absence and in the presence of its own damping torque. The author demonstrates a modification of adjuster’s structure to achieve accuracy increase for the platform’s parameters evaluation.