Open AccessResearch on parameter adjustment method of servo controller based on genetic algorithm
Author(s) -
Huan Tian,
Wenyong Dong,
Yafen Xu,
Yuan Gao,
Cheng Fang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1786/1/012056
Subject(s) - control theory (sociology) , servo drive , servomechanism , controller (irrigation) , servo , servo control , computer science , genetic algorithm , servo bandwidth , control engineering , engineering , control (management) , artificial intelligence , agronomy , machine learning , biology
In view of the problem that the controller parameters of the servo system of launch vehicle cannot be adjusted after installation, the parameter adjustment method of the servo system controller parameters is designed by the optimization method based on the genetic algorithm. Set the scale, the notch frequency and the damping coefficient as the variable to be adjusted. The adjusted ITAE guideline module is the error criterion, and the notch filter parameters are adjusted. The experimental verification results of servo system simulation test bench show that the method of this paper can effectively optimize the parameters of servo system controller and improve the quality of servo system.