@inproceedings{514e928e2e0d485ca03dbc962b2e5d59,
title = "Control of Aircraft Rudder Servo System Based on Optimization of Parameters",
abstract = "This paper proposes a control method for parameters optimization of the rudder surface servo system to improve the tracking accuracy and dynamic response of the cascaded position servo control. The position feedforward compound control (FFC) is an effective way to improve the position permanent magnet synchronous motor servo system, but the speed compensation usually works in the under-compensated state. In order to obtain the best match between the degree of under-compensation and the proportional gain to improve the position tracking accuracy. Therefore, this paper proposes a particle swarm optimization feedforward control (PSO_FFC) method for the parameters matching problem. The method proposed in this paper is verified by simulation and comparison.",
keywords = "feedforward control, particle swarm algorithm (PSO), Permanent magnet synchronous motor (PMSM), servo system, steady state accuracy",
author = "Jixi Zhong and Qiyuan Cheng and Shoujun Song and Lefei Ge and Xujing Zhao and Ruiqing Ma and Weiguo Liu",
note = "Publisher Copyright: {\textcopyright} 2021 KIEE & EMECS.; 24th International Conference on Electrical Machines and Systems, ICEMS 2021 ; Conference date: 31-10-2021 Through 03-11-2021",
year = "2021",
doi = "10.23919/ICEMS52562.2021.9634402",
language = "英语",
series = "ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "971--975",
booktitle = "ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems",
}