Open AccessGradient identification method of the model parameters for electrohydraulic servo drive of FESTO learning system
Author(s) -
B. Kulakov,
D. Kulakov,
Qi Long
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/963/1/012025
Subject(s) - matlab , servomechanism , identification (biology) , computer science , control engineering , control theory (sociology) , system identification , servomotor , servo , artificial intelligence , engineering , control (management) , data modeling , botany , database , biology , operating system
Gradient identification method of the model parameters for electrohydraulic servo drive is considered. The method is adapted to be implemented by an experimental complex consists from FESTO hydraulic learning system and Matlab/Simulink. The implementation of the considered identification algorithm in the Matlab/Simulink package is shown.