Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
In this paper, a simultaneous calibration algorithm of the parameters of the attitude and altitude control for an unmanned aerial vehicle (UAV) is proposed. The algorithm is based on the multi-objective particle swarm optimization (MOPSO) technique.
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| Main Author: | |
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| Other Authors: | , , , |
| Format: | article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.14066/3638 |
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