Large radio telescopes with a parabolic main mirror are used for cutting edge astronomical research. It is a large flexible structure which requires very high precision motion with accuracy of few arc seconds. However, the features of electric servo drive control systems of the large radio telescopes have backlashes and dry rolling friction moments in moving parts of the mechanical structure. These backlashes and dry rolling friction moments are elasticities of mechanical parts, which deteriorate the large radio telescope’s pointing precision. Linear-quadratic Gaussian (LQG) is known as a modern approach to solving these complex problems. In this article, the application of linear-quadratic Gaussian techniques to the design of speed controller of the larger radio telescope is described. Linear quadratic optimal control and Kalman filter theory are reviewed, and model development and verification are discussed. Families of optimal controller and Kalman filter gain vectors were generated by varying weight parameters. Computer simulation results are carried out on Matlab/SIMULINK with the desired control system eigenvalues.

Authors: M. P. Belov, T. H. Phuong, I. S. Nosirov

Direction: Electrical Engineering

Keywords: Large radio telescope, servo drive system, linear-quadratic Gaussian controller, Kalman filter, linear quadratic optimal regulator

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