@inproceedings{738155af484842e8863f03a149292dce,
title = "Fuzzy PID Design of Vehicle Attitude Control Systems",
abstract = "Movement of vehicle is susceptible to coupling, nonlinear and wind disturbance, which leads to violent changes of aerodynamics parameters. This paper provides a fuzzy PID design of vehicle attitude control systems to reduce the effect of random interference and uncertainty on the motion of the vehicle. The fuzzy relations between three PID control parameters and the deviation signal are used to adjust the PID control parameters online, the deviations of vehicle attitude control systems are reduced rapidly and effectively in complex and changeable environment. The simulation results prove that fuzzy-PID control can effectively accelerate the response speed, and enhance the dynamic performance of the vehicle control system.",
keywords = "fuzzy PID control, fuzzy control, vehicle control system",
author = "Lihan Sun and Jie Ma and Baoqing Yang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 32nd Chinese Control and Decision Conference, CCDC 2020 ; Conference date: 22-08-2020 Through 24-08-2020",
year = "2020",
month = aug,
doi = "10.1109/CCDC49329.2020.9164275",
language = "英语",
series = "Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1826--1830",
booktitle = "Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020",
address = "美国",
}