@inproceedings{1e6f4c38962c4d2a8026cdfb3f29a27f,
title = "Design of Adaptive Backstepping Control for Aircraft Generator Control System",
abstract = "The classical PID control does not consider the external disturbance and uncertain parameters of the system which control accuracy cannot meet the requirements. Based on the mathematical model of three-stage generator, this paper adopts the control algorithm of current inner loop regulation based on exciter model, voltage outer loop regulation and load current regulation based on generator model. The generator controller is designed by combining adaptive control with backstepping algorithm and then the simulation model is built in Simulink for simulation verification. The simulation results show that the controller designed in this paper has better dynamic performance, better damping stability margin and wider frequency range response than the existing controller. Finally, the experimental results based on Dual DSP hardware platform prove the rationality and effectiveness of the controller.",
keywords = "adaptive, backstepping, generator controller, PID control",
author = "Xianrong Fan and Zhaodi Li and Yufei Tao and Yufeng Wang and Shouhong Feng and Weilin Li",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 ; Conference date: 20-11-2021 Through 22-11-2021",
year = "2021",
doi = "10.1109/PRECEDE51386.2021.9681034",
language = "英语",
series = "6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "92--97",
booktitle = "6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021",
}