A Method for Identification of External Disturbing Influences on Electric Drives of a Large Radio Telescope


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

It is proposed to apply a neural network observer in the problems of identification of an external disturbance in the form of a wind load acting on the main mirror of a large radio telescope. The mathematical description of the wind moment is analyzed taking into account its fluctuating component, which has a nonlinear random character. A method of constructing the structure of recurrent neural networks based on models of a nonlinear autoregressive with exogenous inputs for identification of nonlinear static and dynamic control objects is described. In computer simulation, the RMS error for different training algorithms is compared to study their identification accuracy. Design, training, and testing of recurrent neural networks is carried out in the MATLAB/Simulink software environment.

About the authors

M. P. Belov

St. Petersburg Electrotechnical University LETI

Author for correspondence.
Email: journal-elektrotechnika@mail.ru
Russian Federation, St. Petersburg, 197376

T. H. Phuong

St. Petersburg Electrotechnical University LETI

Email: journal-elektrotechnika@mail.ru
Russian Federation, St. Petersburg, 197376

L. P. Kozlova

St. Petersburg Electrotechnical University LETI

Email: journal-elektrotechnika@mail.ru
Russian Federation, St. Petersburg, 197376

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2019 Allerton Press, Inc.