Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

A Robust Large Envelope Flight Controller Design Method based on the Particle Swarm Optimization Algorithm

Authors
Zhanqi Fan, Lin Liu, Xun Sun
Corresponding Author
Zhanqi Fan
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.697How to use a DOI?
Keywords
robust, flight control, PSO, weighting function
Abstract
A robust flight control method based on the particle swarm optimization (PSO) algorithm is approved in this paper. Because of non-modeling dynamic character and parameter uncertainty are taken into consideration during the controller design process, the flight controller has strong robustness, excellent control performance and one robust controller could realize the large envelope flight control. In order to design the robust flight controller automatically and rapidly, the particle swarm optimization algorithm is used to select the weighting function. The simulation result shows that the weighting function could be designed automatically and rapidly, the flight controller has good performance and robustness.
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Proceedings
Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.697How 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  - Zhanqi Fan
AU  - Lin Liu
AU  - Xun Sun
PY  - 2013/03
DA  - 2013/03
TI  - A Robust Large Envelope Flight Controller Design Method based on the Particle Swarm Optimization Algorithm
BT  - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2793
EP  - 2795
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.697
DO  - https://doi.org/10.2991/iccsee.2013.697
ID  - Fan2013/03
ER  -