• 제어로봇시스템학회논문지
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• 제10권2호
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• pp.139-144
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• 2004

The flight control system designed for an unmanned airship, which is under development by KARI, is in reduced. First, the dynamic characteristics of the airship are addressed, which are fairly different from those of the nominal aircraft. In order to implement autonomous flight for the unmanned airship, flight control logic is designed including autopilot and guidance law. The autopilot is designed under consideration of the velocity region of the unmanned airship. The guidance laws are implemented in main operational modes such as point navigation, station keeping and spiral up/down for emergency return. Their simulation results are also presented in order to validate performances of the flight control system.

• 한국자동차공학회논문집
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• 제11권5호
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• pp.183-192
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• 2003

Obstacle detection and avoidance are considered as one of the key technologies on an unmanned vehicle system. In this paper, we propose a method of obstacle detection and avoidance and it is composed of vehicle control, modeling, and sensor experiments. Obstacle detection and avoidance consist of two parts: one is longitudinal control system for acceleration and deceleration and the other is lateral control system for steering control. Each system is used for unmanned vehicle control, which notes its location, recognizes obstacles surrounding it, and makes a decision how fast to proceed according to circumstances. During the operation, the control system of the vehicle can detect obstacles and perform obstacle avoidance on the road, which involves vehicle velocity. In this paper, we propose a method for vehicle control, modeling, and obstacle avoidance, which are evaluated through road tests.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1079-1082
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• 1996

Automatic control systems for warehouse composed of unmanned crane system and vision system. Unmanned crane system is introduced to reject oscillations of a load suspended from a trolley at a moment of its arrival at its target position. And vision system is applied to find out the coordinates of coils on trucks using image processing.

• 한국정보통신학회논문지
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• 제18권2호
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• pp.437-444
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• 2014

무인선박 제어 시스템은 원격지에서 무인선박을 제어, 통제하기 위한 시스템이다. 특히, 무인선박을 제어하기 위해서는 환경에 적합한 무선 통신망이 필요한데 본 논문은 IEEE 802.11 기반 무선랜을 이용한다. IEEE 802.11기반 무선랜 기술은 광대역을 지원하는 무선 접속기술로 비디오, 오디오와 같은 멀티미디어 및 데이터를 전송해야하는 무인선박 제어시스템에 적합하다. 본 논문에서는 무인선박을 제어하기 위한 전체적인 시스템 구조를 설계한다. 그리고 무선랜의 제한적 통신반경을 극복하기 위해 여러 가지 통신망을 사용할 수 있는 통신망 구조를 설계하였다. 설계된 무선랜기반 무인선박 제어시스템을 구현하고 테스트하였다. 테스트 결과 무선랜을 이용하여 무인선박을 제어 통제했으며, 더불어 해양 지역에서의 무선랜 전파 특성을 분석하였다.

• 제어로봇시스템학회논문지
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• 제20권12호
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• pp.1181-1188
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• 2014

In this paper, we propose a novel concept foran unmanned delivery service using a cooperative heterogeneous unmanned system consisting of a self-driving car and an unmanned aerial vehicle (UAV). The proposed concept is suitable to deliver parcels in high-density and high-rise urban or residential areas. In order to achieve the proposed concept, we will develop acooperative heterogeneous unmanned system. Customers can order goods using a smartphone application and the order information, including the position of the customer and the order time, and the package is transported automatically by the unmanned systems. The system assigns the tasks suitable for each unmanned vehicle by analyzing it based on map information. Performance is validated by experiments consisting of autonomous driving and flight tests in a real environment. For more evaluation, the landing position error analysis is performed using circular error probability (CEP).

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.44-46
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• 2018

본 논문은 IoT전용 망인 LoRa망을 이용하여 무인이동체와 관제 서버 시스템간의 통신을 통하여 무인이동체들을 통제가 가능한 시스템에 대한 설계이다. 작은 공간인 집이나 혹은 사무실 병원 에서부터 공장까지 LoRa망을 적용한 무인이동체 관제 시스템을 설치하여 무인이동체가 특수한 작업을 할 때, 더욱 효율성을 높여준다. 본 논문에서는 네비게이션 경로에 대한 간략화에서부터 다른 이동체 주변에서 일어난 이벤트들에 대한 소통이 가능해 짐으로써, 무인이동체에 대한 사회적 활용도를 더욱 높여주는 시스템에 대한 설계에 대한 내용을 다룬다.

• 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.

• International Journal of Automotive Technology
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• 제4권4호
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• pp.173-180
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• 2003

Obstacle avoidance is considered as one of the key technologies in an unmanned vehicle system. In this paper, we propose a method of obstacle avoidance, which can be expressed as vehicle control, modeling, and sensor experiments. Obstacle avoidance consists of two parts: one longitudinal control system for acceleration; and deceleration and a lateral control system for steering control. Each system is used for unmanned vehicle control, which notes its location, recognizes obstacles surrounding it, and makes a decision how fast to proceed according to circumstances. During the operation, the control strategy of the vehicle can detect obstacles and perform obstacle avoidance on the road, which involves vehicle velocity. The method proposed for vehicle control, modeling, and obstacle avoidance has been confirmed through vehicle tests.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 춘계학술대회 논문집
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• pp.587-590
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• 2000

By using the information obtained from output of the MR(Magneto Resistive) sensor for an unmanned vehicle system which is used in the Local Position System. We develop an algorithm that decides the distance and directions between the guideline made by magnets and vehicle, and make an unmanned vehicle driving system that is steered by PD controller and MR sensor

• 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.