
Control Analysis of Resonance System Based on Active Disturbance Rejection Control
Author(s) -
Yongli Zhang,
Yu Liu,
Guorong Yi
Publication year - 2020
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 - 10.1088/1742-6596/1626/1/012092
Subject(s) - active disturbance rejection control , control theory (sociology) , pid controller , state observer , disturbance (geology) , control system , stability (learning theory) , noise (video) , controller (irrigation) , computer science , ideal (ethics) , control (management) , engineering , control engineering , physics , nonlinear system , artificial intelligence , law , temperature control , paleontology , agronomy , electrical engineering , quantum mechanics , machine learning , image (mathematics) , biology , political science
The mass-spring-damping resonance system is modeled by the mechanism-method and Lagrange method, and the stability of the system is analyzed. The extended state observer (ESO) algorithm is used to analyze and control the mass-spring-damping system based on active disturbance rejection control (ADRC) theory. At the same time, it is compared with the traditional PID algorithm. Random noise is added to the simulation to simulate the real environment and the results show that the ADRC control algorithm is more ideal for system control.