Robust Landing Control of a Quadcopter on a Slanted Surface
Autor: | Jang-Myung Lee, Jiwook Choi, Dong-Hun Cheon |
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Rok vydání: | 2021 |
Předmět: |
Surface (mathematics)
0209 industrial biotechnology Quadcopter Control algorithm Artificial neural network Proportional derivative Computer science Mechanical Engineering Control (management) 02 engineering and technology Industrial and Manufacturing Engineering 020901 industrial engineering & automation Control theory Obstacle 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering |
Zdroj: | International Journal of Precision Engineering and Manufacturing. 22:1147-1156 |
ISSN: | 2005-4602 2234-7593 |
DOI: | 10.1007/s12541-021-00523-z |
Popis: | A robust landing control algorithm is proposed for a quadcopter, as well as for a landing platform to land on an inclined or problematic surface. To use the quadcopter for outdoor application, it is necessary to design a landing platform that can withstand environmental obstacles such as wind and weight load during landing. Conventional retractor landing platforms are not suitable for achieving a stable landing on inclined surfaces or obstacles. Therefore, in this paper, 2-link structured landing legs are applied to stably land on an inclined surface or obstacle with a suitable control algorithm. To achieve stable landing on a slanted surface, a cooperative control algorithm of the quadcopter and the landing platform has been proposed. The proposed robust landing system comprises two controllers, i.e., a high-speed proportional derivative control for the landing platform and a neural network-based proportional–integral–derivative control for controlling the quadcopter in real time. A quadcopter with a robust landing platform has been implemented, and the performance of the robust landing control algorithm has been demonstrated with the system. |
Databáze: | OpenAIRE |
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