Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Research on Attitude Control Algorithm of PID Quadrotor based on LPV Method

Authors
Chenyu Hu, Hui Yang
Corresponding Author
Chenyu Hu
Available Online May 2017.
DOI
10.2991/icmeit-17.2017.124How to use a DOI?
Keywords
Quadrotor, Attitude Controler, LPV Method, PID Controler.
Abstract

The quadrotor is a non-linear, multivariable, strongly coupled under actuated system that is very difficult to control precisely. In this paper, the mathematic model of the quadrotor is established. Since the mathematical model is nonlinear, the model used in the controller and the simulation analysis is often linear. Therefore, it is necessary to linearize the nonlinear model first. Using LPV method, and then use the PID algorithm to control the quadrotor attitude. Simulink is used to simulate the model, which proves that PID has significant effect on attitude control of quadrotor.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
10.2991/icmeit-17.2017.124How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chenyu Hu
AU  - Hui Yang
PY  - 2017/05
DA  - 2017/05
TI  - Research on Attitude Control Algorithm of PID Quadrotor based on LPV Method
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 683
EP  - 690
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.124
DO  - 10.2991/icmeit-17.2017.124
ID  - Hu2017/05
ER  -