Method for Identification of Tracking Electric Drives Mechanical Parameters

Abstract

The problem of identifying the parameters of electromechanical systems has long been relevant and in demand for practice. For the most part, the well-known approaches to identifying the parameters of electromechanical systems under study are based on the use of linear models that are not suitable for most systems with nonlinearities. In the case of a servo drive, non-linearity and some uncertainty occur in the mechanical part of the drive, due to the presence of friction, elasticity and backlash. In this regard, many different methods and algorithms for identifying mechanical parameters have been developed for servo drives, which include nonlinear least squares estimation, the finite element method, and methods based on spectral analysis. A method for determining the moment of inertia and the coefficient of viscous friction for servo drives, based on the use of the dynamic equation of the mechanical drive system, is discussed in the paper. The torque and the actual rotational speed of the machine are used as input information. Accurate identification of the mechanical parameters of an electric drive is essential for the synthesis of its control system. The developed method is resistant to external influences, such as measurement error, mechanical resonance of the drive system. The revealed parameters can be used for autotuning the gains in the speed controller, which will provide high performance control of the drive speed. The effectiveness of the proposed method is confirmed by computer simulation and experimental data.