Identifying dynamic model parameters of a servo drive

An off-line identification method based on the least-squares approximation technique is applied for identifying of electromechanical parameters of a servo drive model. The proposed identification method solves a problem of experimental data automatic obtaining with angular velocity limitation and angle limitation. The developed algorithm can be automatically adjusted during its work to achieve high accuracy of the estimated parameters. The paper provides an example of algorithm work with a servo drive of a tracking telescope. The developed algorithm is of interest for developers of electromechanical systems with limitation of motion. Key-Words: Identification; Servo Drive; Automatization; Tracking Telescope; Least-Squares Approximation; Motion Limitation.