지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.18 No.3
- 발행연도
- 2018.9
- 수록면
- 204 - 213 (10page)
- DOI
- 10.5391/IJFIS.2018.18.3.204
이용수
초록· 키워드
오류제보하기
Trajectory-tracking is an attractive application for quadcopters and a very challenging, complicated field of research due to the complex dynamics of a quadcopter. Various control algorithms have been developed to stabilize the quadcopter over a certain trajectory since it is hard for a quadcopter to follow a certain trajectory. In this paper, a fuzzy-PID controller is designed to stabilize the quadcopter over a certain trajectory using the speed information as an input. The proposed controller is compared to a PD controller and a fuzzy logic controller (FLC) to distinguish which has a better performance using MATLAB/Simulink. The simulation results demonstrate that under different trajectories the fuzzy-PID controller shows a better response than the other two controllers.
목차
Abstract
1. Introduction
2. Dynamic Model of Quadcopter
3. Controllers Description
4. Simulation Studies
5. Simulation Results
6. Conclusion
References
참고문헌 (16)
참고문헌 신청
M. Bhaskaranand / 2011 / Low-complexity video encoding for UAV reconnaissance and surveillance / Proceedings of IEEE Military Communications Conference (MILCOM) :1633~1638
P. Doherty / 2007 / A UAV search and rescue scenario with human body detection and geolocalization / Australasian Joint Conference on Artificial Intelligence :1~13
T. Tomic / 2012 / Toward a fully autonomous UAV: research platform for indoor and outdoor urban search and rescue / IEEE Robotics & Automation Magazine 19(3):46~56
M. Talha / 2018 / Fuzzy logic-based robust and autonomous safe landing for UAV quadcopter / Arabian Journal for Science and Engineering :1~13
J. Liu / 2017 / Reliable filter design for sensor networks using type-2 fuzzy framework / IEEE Transactions on Industrial Informatics 13(4):1742~1752
P. Doherty / 2007 / A UAV search and rescue scenario with human body detection and geolocalization / Australasian Joint Conference on Artificial Intelligence :1~13
T. Tomic / 2012 / Toward a fully autonomous UAV: research platform for indoor and outdoor urban search and rescue / IEEE Robotics & Automation Magazine 19(3):46~56
M. Talha / 2018 / Fuzzy logic-based robust and autonomous safe landing for UAV quadcopter / Arabian Journal for Science and Engineering :1~13
J. Liu / 2017 / Reliable filter design for sensor networks using type-2 fuzzy framework / IEEE Transactions on Industrial Informatics 13(4):1742~1752
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