@inproceedings{c35775cb1c6042ddb3b5bfa426702fee,
title = "Wind pendulum modeling based-on improved PID algorithm",
abstract = "This paper analyzes the mechanical structure and builds the mathematical model of wind pendulum. Conventional PID controller, Kalman filtering PID controller and adaptive Kalman filtering PID controller are employed for the proposed model of wind pendulum. With the theory analysis, simulation results and prototype experiments, it is verified that the control stability and accuracy of adaptive Kalman filtering PID controller is better than traditional PID controller and Kalman filtering PID controller when heavy noise exists.",
keywords = "PID controller, adaptive Kalman filter, environment noise, wind pendulum",
author = "Hao Cheng and Jin Xiao and Yue Long and Tian Zhang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 ; Conference date: 05-06-2016 Through 07-06-2016",
year = "2016",
month = oct,
day = "19",
doi = "10.1109/ICIEA.2016.7603973",
language = "英语",
series = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2288--2293",
booktitle = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",
address = "美国",
}