• 제어로봇시스템학회논문지
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• 제14권12호
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• pp.1253-1259
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• 2008

This paper presents a landing controller and guidance law for net-recovery of fixed-wing unmanned aerial vehicles. A linear quadratic controller was designed using the system identification result of the unmanned aerial vehicle. A pursuit guidance law is applied to guide the vehicle to a recovery net with imaginary landing points on the desired approach path. The landing performance of a pure pursuit guidance, a constant pseudo pursuit guidance, and a variable pseudo pursuit guidance is compared. Numerical simulation using an unmanned aerial vehicle model was performed to verify the performance of the proposed landing guidance law.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.58-65
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• 2022

An application case of systems engineering (SE) processes for the small unmanned aerial vehicle (UAV) development project, which was funded by the Korean government during June 2017 ~ August 2020, is briefly presented in this paper. From the beginning to the end of the project, SE processes had been applied and managed by simple and intuitive aspects for the small/medium business companies joined with insufficient experiences of SE. And the specific considerations of the processes were focused to the missions of disaster and public safety purposes required from the government, such as identification, patrol, fire, rescue, etc. As a result, the project applied by the tailored SE processes had been rated of a good and higher accomplishment on the final evaluation, and then the related several programs were prepared successively for the other opportunities.

• 제어로봇시스템학회논문지
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• 제10권2호
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• pp.131-138
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• 2004

Automatic flight control system (AFCS) for a low-cost unmanned aerial vehicle is described in this paper. Development process and block diagram of the AFCS are introduced. The flight control law for longitudinal and lateral channel autopilot is designed using optimization process. In this procedure, the performance index is composed of desired location of closed loop system poles and H$_2$norm of the resultant flight control system. This procedure is applied to the autopilot design of an unmanned target vehicle. Performance of the AFCS is evaluated by processor-in-the-loop simulation test and flight test. These results show that the AFCS has acceptable performance fur low cost UAV.

• 대한원격탐사학회지
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• 제37권4호
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• pp.747-761
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• 2021

With the increasing application of UAVs in intelligent transportation systems, vehicle detection for aerial images has become an essential engineering technology and has academic research significance. In this paper, a vehicle detection method for aerial images based on the YOLOv4 deep learning algorithm is presented. At present, the most known datasets are VOC (The PASCAL Visual Object Classes Challenge), ImageNet, and COCO (Microsoft Common Objects in Context), which comply with the vehicle detection from UAV. An integrated dataset not only reflects its quantity and photo quality but also its diversity which affects the detection accuracy. The method integrates three public aerial image datasets VAID, UAVD, DOTA suitable for YOLOv4. The training model presents good test results especially for small objects, rotating objects, as well as compact and dense objects, and meets the real-time detection requirements. For future work, we will integrate one more aerial image dataset acquired by our lab to increase the number and diversity of training samples, at the same time, while meeting the real-time requirements.

• 제어로봇시스템학회논문지
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• 제20권11호
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• pp.1112-1117
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• 2014

Unmanned aerial vehicles (UAVs) are a popular research topic because of a great ripple effect in the future. However, current UAV technologies cannot be applied to manual aerial vehicles without any modification. As an alternative to current UAV technology, humanoid robots are adopted as pilots. If a humanoid robot controls an aerial vehicle autonomously, not only could manual aerial vehicles be utilized as UAVs, but the humanoid robot would also be put into an environment created for humans and conduct some missions suitable for humans. Humanoid robots are also able to handle tools and equipment designed for humans. In order to prove that a humanoid robot can pilot an airplane, an experiment is performed and the results of this experiment are shown in this paper.

• 전자공학회논문지
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• 제51권4호
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• pp.18-24
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• 2014

본 논문에서는 무인항공기의 운용 범위 내에서 데이터링크 두절을 최소화할 수 있는 탑재 가시선 데이터링크 방향성 안테나의 최적 위치를 EM(Electromagnetic) 시뮬레이션을 통하여 분석하였다. 무인항공기의 급격한 거동 시 동체 Blockage로 인한 전자파 왜곡 및 손실로 데이터링크 두절이 발생할 수 있다. 이와 같은 데이터링크 두절을 방지하기 위하여 무인항공기의 거동범위를 제한하면 선회 반경이 커지게 되고, 이로 인하여 임무 수행에 많은 제약이 발생할 수 있다. 이를 해결하기 위하여 1축 방향성 안테나의 동체 상/하부 장착을 고려한 최적위치에 대하여 EM시뮬레이션을 수행하였다. 장착된 방향성 안테나는 수직빔폭이 넓은 1축 안테나를 적용하여 수직 빔폭 만큼 무인항공기가 데이터링크 두절 없이 거동할 수 있도록 설계하였다. 또한, 2축이 아닌 1축 안테나 탑재로 인하여 탑재 중량도 크게 줄일 수 있는 장점을 갖고 있다.

• 한국산업정보학회논문지
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• 제21권5호
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• pp.55-72
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• 2016

본 연구는 국내 무인항공기산업과 같은 신성장동력산업의 국제적 기술 경쟁력 확보와 시장성 확보 및 산업성장이 가능한 미래유망 기술을 도출하는 방법론을 제시하는 것이다. 이에 본 연구는 KrKwic, Excel, NetMiner등의 분석 툴을 활용하여 무인항공기산업 분야의 특허데이터를 대상으로 동시출현 단어를 활용한 소셜네트워크분석과 하위그룹분석, 인지지도분석 방법을 제시하였다. 그 결과, '비행조정 기술', '피아식별 기술' 등은 향후 유망한 기술로 선정하여 집중 투자할 필요성이 큰 기술이라 볼 수 있었다.

• 제어로봇시스템학회논문지
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• 제12궈1호
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• pp.78-84
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• 2006

This paper describes UAV (Unmanned Aerial Vehicle) control system which employs PC104 modules. It is controlled by application program based on Linux OS. This application consists of both Linux device driver in kernel-space and user application in user-space. In order to get data required in the unmanned flight, external devices are connected to PC104 modules. We explain how Linux device drivers deal with data transmitted by external devices and we account for how the user application controls UAV on the basis of data processed in the device driver as well. Furthermore we look into the role of GCS (Ground Control Station) which is to monitor the state of UAV.

• 한국지능시스템학회논문지
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• 제14권7호
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• pp.883-888
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• 2004

In this paper, we propose a method to avoid obstacles that have unstable limit cycles in a chaos trajectory surface. We assume all obstacles in the chaos trajectory surface have a Van der Pol equation with an unstable limit cycle. When a chaos UAVs meet an obstacle in an Arnold equation, Chua's equation and hyper-chaos equation trajectory the obstacle reflects the UAV( Unmanned Aerial Vehicle).

• 한국컴퓨터정보학회논문지
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• 제23권12호
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• pp.11-19
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• 2018

In the Unmanned Aerial Vehicle Line-Of-Sight datalink system, there is a possibility that the communication line is disconnected because line of sight can not be secured by one antenna due to changes in position and posture of the air vehicle. In order to prevent this, both top and bottom of air vehicle are equipped with antennas. At this time, if the signal can be transmitted and received by switching to an antenna advantageous for securing the line of sight, communication disconnection can be minimized. The legacy antenna switching method has disadvantages such that diffraction, fading due to the surface or obstacles, interference and reflection of the air vehicle are not considered, or antenna switching standard is not clear. In this paper, we propose an airborne antenna switching method for improving the performance of UAV LOS datalink system. In the antenna switching method, the performance of each of the upper and lower parts of the mounted antenna according to the position and attitude of the air vehicle is predicted by using the deep learning in an UAV LOS datalink system in which only the antenna except the receiver is duplicated. Simulation using flying test dataset shows that it is possible to switch antennas considering the position and attitude of unmanned aerial vehicle in the datalink system.