Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Research on fuzzy PID attitude controller for Multi-rotor UAV

Authors
Shuo Gao, Qi Wang, Wen Jiang, Yan Liu
Corresponding Author
Shuo Gao
Available Online April 2017.
DOI
https://doi.org/10.2991/fmsmt-17.2017.143How to use a DOI?
Keywords
Fuzzy PID, Attitude controller, Multi-rotor, UAV
Abstract

Multi-rotor UAV attitude system has many characteristics such as multi-input multi-output, strong coupling, fast time-varying and non-linearity. Thus, for multi rotor UAV attitude control system, the classic PID has some shortcomings. In this paper, the fuzzy PID controller is established by using fuzzy control and classical PID. The on-line self-tuning of PID parameters is realized. The simulation results show that compared with the classical PID, the fuzzy PID controller has the advantages of high control precision, stronger anti-interference ability and stronger robustness, and is more suitable for multi-rotor UAV attitude control system.

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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/fmsmt-17.2017.143How 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  - Shuo Gao
AU  - Qi Wang
AU  - Wen Jiang
AU  - Yan Liu
PY  - 2017/04
DA  - 2017/04
TI  - Research on fuzzy PID attitude controller for Multi-rotor UAV
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 726
EP  - 729
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.143
DO  - https://doi.org/10.2991/fmsmt-17.2017.143
ID  - Gao2017/04
ER  -