• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1375-1379
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• 2004

Unmanned Helicopter has several abilities such as vertical Take off, hovering, low speed flight at low altitude. Such vehicles are becoming popular in actual applications such as search and rescue, aerial reconnaissance and surveillance. These vehicles also used under risky environments without threatening the life of a pilot. Since a small aerial vehicle is very sensitive to environmental conditions, it is generally known that the flight control is very difficult problems. In this paper, a flight control system was designed for an unmanned helicopter. This paper was concentrated on describing the mechanical design, electronic equipments and their interconnections for acquiring autonomous flight. The design methodologies and performance of the helicopter were illustrated and verified with a linearized equation of motion. The LQG based estimator and controller was designed and tested for this unmanned helicopter.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.932-937
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• 2003

In this paper, we will explain about the unmanned vehicle control and modeling for combined obstacle avoidance and lane tracking. First, obstacle avoidance is considered as one of the important technologies in the unmanned vehicle. It is consisted by two parts: the first part includes the longitudinal control system for the acceleration and deceleration and the second part is the lateral control system for the steering control. Each system uses to the obstacle avoidance during the vehicle moving. Therefore, we propose the method of vehicle control, modeling and obstacle avoidance. Second, we describe a method of lane tracking by means of vision system. It is important in the unmanned vehicle and mobile robot system. In this paper, we deal with lane tracking and image processing method and it is including lane detection method, image processing algorithm and filtering method.

• 반도체디스플레이기술학회지
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• 제17권1호
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• pp.88-92
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• 2018

Currently drone industry has become one of the fast growing markets and the technology for unmanned aerial vehicles are expected to continue to develop at a rapid rate. Especially small unmanned aerial vehicle systems have been designed and utilized for the various field with their own specific purposes. In these fields the path planning problem to find the shortest path between two oriented points is important. In this paper we introduce a path planning strategy for an autonomous flight of unmanned aerial vehicles through reinforcement learning with self-positioning technique. We perform Q-learning algorithm, a kind of reinforcement learning algorithm. At the same time, multi sensors of acceleraion sensor, gyro sensor, and magnetic are used to estimate the position. For the functional evaluation, the proposed method was simulated with virtual UAV environment and visualized the results. The flight history was based on a PX4 based drones system equipped with a smartphone.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.141.3-141
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• 2001

Since 1990´s, there has been many researches for the development of the Unmanned Aerial Vehicle (UAV). Especially, for the development of digital electronics, the technologies of UAV toward to the miniaturization low-cost, and high reliability. Therefore, recent trends for the development of UAV are focused on the development modern Flight Control System (FCS). In this paper, focusing on the FCS, the development process for Sejong Unmanned Research Vehicle -1 (SURV-1) from design to flight test is presented.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.265-270
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• 2005

This paper presents a new attitude stabilization and control of an unmanned helicopter based on neural network compensation. A systematic derivation on the dynamics of an unmanned small-scale helicopter is performed. Combined rotor-fuselage-tail dynamics is derived in body-fixed reference frame with its origin at the C.G. of the helicopter. And the resulting nonlinear equation of motion consists of 6-DOF air vehicle dynamics as well as the rotor flapping and engine torque equations. A simulation model was modified using the existing simulator for an unmanned helicopter dynamic model, which reflects the unmanned test helicopter(CNUHELI). The dynamic response of the refined model was compared with the flight test data. It can be shown that a good coincidence was accomplished between the real unmanned helicopter system and the mathematical model. This dynamic model was linearized for classical controller design using small perturbation method. A Neuro-PD control system was designed for both longitudinal and lateral flight modes, and the results were compared with the PD-only control response. Simulation results show that the proposed Neuro-PD control system demonstrates better performance.

• 무역학회지
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• 제46권5호
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• pp.49-63
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• 2021

The HS Convention is an agreement on the harmonized commodity description and coding system enacted by the World Customs Organization in January 1988 to promote international trade and unify the commodity classification systems internationally, and the seventh revision will take effect in January 2022. This study's main purpose is to consider criteria for classifying unmanned autonomous transport systems(UATS) in accordance with Section 17 of the HS nomenclature and to present recommendations for improvement of laws related to tariff classification which may be used to amend related laws in Korea. Currently, there are no provisions within the HS Nomenclature that classify unmanned autonomous transportation systems and equipments. Although such technologies have yet to be commercially deployed, they are being actively developed globally. Thus, this study aims to classify UATS and suggest appropriate amendments to the new edition of the HS Nomenclature and Korean law. This paper examines advance ruling cases from domestic and foreign HS classification under the revision of the HS Convention and the criteria for the classification of UATS and Domestic Korean and foreign classification case studies were investigated, along with a survey of the literature on UATS, in order to derive reasonable tariff classification criteria and present legislative implications. In conclusion, this study aims to provide legislative recommendations for how to improve the system to apply the revisions to the HS Convention to the domestic Korean statutes.

• 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.

• 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).

• 대한기계학회:학술대회논문집
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• 대한기계학회 2005년도 창립60주년 기념 추계 학술대회
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• pp.199.2-199.2
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• 2005

• 한국신뢰성학회지:신뢰성응용연구
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• 제15권2호
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• pp.131-138
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• 2015

In modern warfare, the number of unmanned systems grow faster than any other weapon systems. Therefore, it is very important to predict and measure the combat effectiveness (CE) of unmanned weapon systems in battlefield for deciding defense budget to acquire those systems. In general, quantitative calculation of weapon effectiveness under complicated battlefield is difficult based on the future network centric warfare. Hence, many papers studied how to measure the combat effectiveness and tried to study a lot of related issues about it. However, there are few papers dealing with the relationship between the UGV (Unmanned Ground Vehicle)'s performance and CE in a ground battlefield. In this paper, we do the sensitivity analysis based on a given scenario in a small unit battle. In order to do that, we developed simulation model using AnyLogic and changed the input parameters such as detection and hitting probabilities. We also assess the simulation outputs according to the variation of input parameters. The MOE used in this simulation model output is survival ratio for Blue force. We hope that this paper will be useful to find which input variable is more effective to increase combat effectiveness in a small unit ground battlefield.