State Estimation of Nonlinear Electromechanical System using Extended Kalman Filter

Autor:	Nguyen Van Lanh, Tran Huu Phuong, Nguyen Duc Thanh, Mikhail P. Belov
Rok vydání:	2019
Předmět:	Radio telescope Extended Kalman filter Nonlinear system Control theory Computer science Control system State vector ComputerApplications_COMPUTERSINOTHERSYSTEMS State observer MATLAB computer Servo computer.programming_language
Zdroj:	2019 III International Conference on Control in Technical Systems (CTS).
DOI:	10.1109/cts48763.2019.8973248
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cab451d3debda47c50a92d8232bb9a4f https://doi.org/10.1109/cts48763.2019.8973248 Zobrazit plný text záznamu