| Title |
Blimp Stabilization Controller Optimization using Fuzzy Logic |
|
Authors |
Mary Ann E. Telen and Sherwin A. Guirnaldo |
|
Publication date |
2020 |
|
Journal |
International Journal of Advanced Trends in Computer Science and Engineering |
| Volume |
9(1.2) |
| Issue |
June |
| Pages |
76-83 |
| Publisher |
World Academy of Research in Science and Engineering |
| Abstract |
Blimps are used for mission-based applications due to their ability to hover in any direction the pilot would direct. Earlier studies implemented manual control and some feedback control system but still the blimp is susceptible to air interference, making it hard to compensate disturbance
on its orientation. This study focus on self-stabilization control using fuzzy logic in its feedback control system to achieve basic maneuvering and balance of the blimp. By
employing sensor fusion using complimentary filter provides smoother data when subject to air disturbances. The system now ensures stability in its mission flights via its feedback control system using a fuzzy logic algorithm with active braking mechanism and fast updating frequency sensor
system. |
| Index terms / Keywords |
Blimp, fuzzy logic controller, feedback control system, self-stabilized, sensor fusion |
| URL |
|
Mindanao State
University - Iligan Institute of Technology