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Design Optimization, Modeling, and Control of Unmanned Aerial Vehicle Lifted By Coandă Effect
Lee, Hyunyong,Han, Seonhye,Lee, Hyoju,Jeon, Jaehyeok,Lee, Choonghan,Kim, Yong Bum,Song, Seung Hwan,Choi, Hyouk Ryeol IEEE 2017 IEEE/ASME transactions on mechatronics Vol.22 No.3
<P>The Coanda effect is a natural phenomenon, which is that flowing fluid on a certain surface is pulled to the surface due to the viscosity of the fluid. This phenomenon can be utilized to produce the lift force of a flying object. This paper presents a new type of unmanned aerial vehicle (UAV) lifted by the Coanda effect, called SCoanda. We introduce the empirical study of its design and implementations. The principle of the Coanda effect is briefly explained in the first section. The design optimization and control of the UAV, and implementation issues are explained. The structural design of SCoanda is devised to use the maximum lift force produced by the Coanda effect. Since there are a plenty of cases about the shape of SCoanda, it has been limited to oval. It is investigated through computational fluid dynamics. As the result, an optimized design is determined among several candidates and appropriate structural materials are selected via tests. Also, dynamic modeling is suggested under several conditions of SCoanda before simulations are conducted to build up a controller and determine gains according to the dynamic modeling. Finally, the UAV is manufactured and its performances are successfully demonstrated in the indoor and the outdoor environments.</P>
박석윤,박래현,이석훈,정현용,한상익,전양환,김재문,정기영 충남대학교 기초과학연구소 1998 忠南科學硏究誌 Vol.25 No.2
This article explores the use of qEEG, began in the 1970s and early 80s as an attempt to extract from brain electrical activity more than what could be ready appreciate by simple, unaided visual inspection of EEG. EEG was able to examine 12 healthy young persons with eye dosed and aged 25-39. We gets 4 sample datasets; each dataset consists of 21 columns corresponding to the 21 channels, the sampling rate is 128 Hz, total time is 2 seconds (i.e. 258 points per channels). And result of qEEG is suggested.
박석윤,정기영,박래현,이낙영,이석훈,이주호,김주한,김홍기,김종우,조한석,정현용,김재문,한상익,전양환,이민선 충남대학교 기초과학연구소 1999 忠南科學硏究誌 Vol.26 No.2
With the correct equipment, microvolt EEG signals can be recorded from the scalp. Their potential use for diagnosis of physiological and psychiatric diseases and for increasing our understanding of cognitive processes is being realized by current research in many fields. Our work focuses on the research for good EEG signal representations and on careful analysis classification results using statistical EEG analysis(SEEG).