Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Simulation research on hypersonic vehicle based on fuzzy adaptive control

Authors
Zhouli Zhu, Wei Chen, Wei Zhou, Qun Li
Corresponding Author
Zhouli Zhu
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.28How to use a DOI?
Keywords
Hypersonic vehicle, Fuzzy adaptive control, PID controller, MATLAB.
Abstract
Aiming at the control problem of hypersonic vehicle, the traditional linear control method fails to meet the expected control index, thus this paper establishes the control model of the aircraft. This paper applies the fuzzy control structure to the traditional PID controller, and through fuzzy control to adjust PID parameters in real-time to achieve adaptive control. And then by using MATLAB simulation, the influence of speed change and height change to the control of the aircraft is analyzed. The simulation results show that compared with the traditional PID control, the controller designed in this paper has higher robustness and better tracking effect.
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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.28How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhouli Zhu
AU  - Wei Chen
AU  - Wei Zhou
AU  - Qun Li
PY  - 2016/07
DA  - 2016/07
TI  - Simulation research on hypersonic vehicle based on fuzzy adaptive control
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.28
DO  - https://doi.org/10.2991/iccia-17.2017.28
ID  - Zhu2016/07
ER  -