Phuong, T.H. and Belov, M.P. and Van Lanh, N. and Thanh, N.D. (2019) State Estimation of Nonlinear Electromechanical System using Extended Kalman Filter. In: 3rd International Conference on Control in Technical Systems, CTS 2019, 30 October 2019 through 1 November 2019, St. Petersburg.
State Estimation of Nonlinear Electromechanical System using Extended Kalman Filter.pdf
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Abstract
This paper presents an approach to estimate mechanical non-measurable coordinates of the state vector in servo tracking driver of the large radio telescope control system. The estimation algorithm of discrete extended Kalman filter based on the sequential recursive solution is developed for nonlinear systems. The proposed optimal state observer is investigated in the close-loop state feedback control system of large radio telescope. The results of computer simulation are carried out in MATLAB / Simulink environment. © 2019 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Control Engineering |
| Identification Number: | 10.1109/CTS48763.2019.8973248 |
| Uncontrolled Keywords: | Adaptive control systems; Feedback control; MATLAB; Radio telescopes; State estimation; State feedback; Electromechanical systems; Estimation algorithm; Large radio telescope; MATLAB/Simulink environment; Optimal state; Recursive solutions; Servo control systems; Servo tracking; Extended Kalman filters |
| Additional Information: | Conference code: 157216. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9234 |
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