Flight reliability of multi rotor UAV Based on genetic algorithm

DOI

10.2991/wartia-16.2016.263How to use a DOI?

Keywords

ABC, MFAC, parameter tuning, overshoot

Abstract

In the disturbed case, since the parameter tuning method is imperfect, there have been issues of excessive overshoot and adjusting time in MFAC. To optimize MFAC controller, a MFAC-ABC is proposed, with ITAE criterion as the fitness function, and key parameters of _kand are optimized and tuned using ABC, and MFAC simulation model is established using Matlab Simulink platform, with written ABC control algorithm. Simulation results show that, compared with traditional MFAC and MFAC-PSO, MFAC-ABC control method is effective in reducing the response time and the overshoot, with good robustness, which has improved the adaptability and effectiveness of MFAC in the disturbed case

Copyright

© 2016, 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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TY  - CONF
AU  - Chenggong Li
AU  - Shuai Wang
AU  - Xiaoming Wu
PY  - 2016/05
DA  - 2016/05
TI  - Flight reliability of multi rotor UAV Based on genetic algorithm
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1251
EP  - 1254
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.263
DO  - 10.2991/wartia-16.2016.263
ID  - Li2016/05
ER  -