Design of a robot controller for peloton formation using fuzzy logic
This paper presents a controller for the optimization of flocking and formation algorithm adapted from the flocking behavior of cycling team or pelotons. The controller developed is a fuzzy-logic controller for each of the robotic agent in order for them to perform a peloton formation. Results from...
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| Main Authors: | , , , , |
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| Format: | text |
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Animo Repository
2019
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/103 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1102/type/native/viewcontent/RITAPP.2019.8932858 |
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| Institution: | De La Salle University |
| Summary: | This paper presents a controller for the optimization of flocking and formation algorithm adapted from the flocking behavior of cycling team or pelotons. The controller developed is a fuzzy-logic controller for each of the robotic agent in order for them to perform a peloton formation. Results from the simulation shows that the developed fuzzy logic controller is slightly better than the mathematical models in maintaining a small and optimal position for the peloton formation which results to a more efficient and robust swarm system. |
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