• Title/Summary/Keyword: 궤적 시뮬레이션

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Filtering Algorithms for Position Evaluation and Tracking of Tactical Objects (전술객체 위치 모의 및 추적을 위한 필터링 알고리즘 연구)

  • Kim, Seok-Kwon;Jin, Seung-Ri;Son, Jae-Won;Park, Dong-Jo
    • Journal of the Korea Society for Simulation
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    • v.19 no.4
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    • pp.199-208
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    • 2010
  • Positions of tactical objects are represented as Time, Space and Position Information(TSPI) in modeling and simulations(M&S). The format and required information record for TSPI is investigated by referring the TSPI object model of the Test and Training Enabling Architecture(TENA), which has been developed by the United States Department of Defense. The most sophisticated tactical data link, Link-16 has a Precise Participant Location and Information (PPLI) message. We study the data format for exchanging TSPI data based on the PPLI message. To evaluate and track positions of tactical objects, we consider the Kalman filter for linear systems, and the extended Kalman filter and the unscented Kalman filter for nonlinear systems. Based on motion equations of a ballistic missile, the tracking performance for the trajectory of the ballistic missile is simulated by the unscented Kalman filter.

Design of a Real Time, High Speed, Large Scale Data Storage System using the DEVS formalism (DEVS 형식론을 이용한 실시간 고속 대규모 데이터 저장 시스템의 설계)

  • 이찬수;성영락;오하령
    • Proceedings of the Korea Society for Simulation Conference
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    • 1997.04a
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    • pp.75-80
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    • 1997
  • 본 연구에서는 대용량의 데이터를 고속으로 입출력할 수 있는 데이터 저장 시스템 이 가져야할 요구사항을 분석하고, 그것을 만족하는 시스템을 설계하였다. 본 논문에서는 우선 고속 대용량, 랜덤 억세스의 조건을 만족시키기 위해 여러 대의 하드 디스크를 병렬로 연결하여 입력되는 데이터들을 나누어 저장하도록 하였다. 그러나 하드 디스크의 성능은 디 스크 아암의 탐색동작에 의해 크게 영향을 받으므로 실시간 요구 조건을 만족시키기 위해선 단순히 디스크의 수를 늘이는 것 외에 디스크 아암의 탐색 동작을 효율적으로 제어할 수 있 는 방법이 필요하다. 그래서 본 논문에서 설계된 시스템에서는 시스템을 MCU(Master Control Unit), DDU(Data Distribution Unit), SCU(Slave Control Unit), DSU(Data Storage Unit)의 4부분으로 나누고, 각 디스크의 디스크 아암 탐색 동작을 독립된 SCU에서 제어하 도록 하였다. 설계된 내용이 주어진 요구사항들을 만족하는 것을 확인하기 위해, 본 논문에 서는 이산사건 시스템을 기술하는 수학적인 언어인 DEVS 형식론을 이용하여 제안된 시스 템을 기술하고 시뮬레이션하였다. 그리고 시뮬레이션되는 과정에서 생산되는 사건들의 궤적 을 분석하였다. 분석결과 제안된 시스템은 앞에서 제시한 여러 요구사항들을 잘 수용함을 보았다.

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Homing Guidance Law and Spiral Descending Path Design for UAV Automatic Landing (무인항공기 자동착륙을 위한 나선형 강하궤적 및 종말유도 설계)

  • Yoon, Seung-Ho;Kim, H.-Jin;Kim, You-Dan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.3
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    • pp.207-212
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    • 2010
  • This paper presents a spiral descending path and a landing guidance law for net-recovery of a fixed-wing unmanned aerial vehicle. The net-recovery landing flight is divided into two phases. In the first phase, a spiral descending path is designed from an arbitrary initial position to a final approaching waypoint toward the recovery net. The flight path angle is controlled to be aligned to the approaching direction at the end of the spiral descent. In the second phase, the aircraft is guided from the approaching waypoint to the recovery net using a pseudo pursuit landing guidance law. Six degree-of-freedom simulation is performed to verify the performance of the proposed landing guidance law.

Development of a Simulator for a Mobile Robot Based on iPhone (아이폰 기반의 이동로봇 시뮬레이터 개발)

  • Kim, Dong Hun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.1
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    • pp.29-34
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    • 2013
  • This study presents the remote control of a mobile robot using iPhone based on ad hoc communication. Two control interfaces are proposed to control a mobile robot using iPhone : Remote control by a user and autonomous control. To evaluate the effectiveness of algorithms for trajectory following, a simulator are developed where a virtual robot follows a referenced trajectory in a monitor by iPhone interface. In the proposed simulator, some algorithms are tested how they work well or not for trajectory following of a mobile robot. Comparative results by remote user control and autonomous control are shown. Results of an experiment show that the proposed simulator can be effectively used for testing the effectiveness of autonomous tracking algorithms.

Trajectory Control of a Robot Manipulator by TDNN Multilayer Neural Network (TDNN 다층 신경회로망을 사용한 로봇 매니퓰레이터에 대한 궤적 제어)

  • 안덕환;양태규;이상효;유언무
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.5
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    • pp.634-642
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    • 1993
  • In this paper a new trajectory control method is proposed for a robot manipulator using a time delay neural network(TDNN) as a feedforward controller with an algorithm to learn inverse dynamics of the manipulator. The TDNN structure has so favorable characteristics that neurons can extract more dynamic information from both present and past input signals and perform more efficient learning. The TDNN neural network receives two normalized inputs, one of which is the reference trajectory signal and the other of which is the error signals from the PD controller. It is proved that the normalized inputs to the TDNN neural network can enhance the learning efficiency of the neural network. The proposed scheme was investigated for the planar robot manipulator with two joints by computer simulation.

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A Study on Helicopter Trajectory Tracking Control using Neural Networks (신경회로망을 이용한 헬리콥터 궤적추종제어 연구)

  • Kim, Yeong Il;Lee, Sang Cheol;Kim, Byeong Su
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.31 no.3
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    • pp.50-57
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    • 2003
  • In the paper, the design and evaluation of a helicopter trajectory tracking controller are presented. The control algorithm is implemented using the feedback linearization technique and the two time-scale separation architecture. In addition, and on-line adaptive architecture that employs a neural network compensating the model inversion error caused by the deficiency of full knowledge of helicopter dynamic is applied to augment the attitude control system. Trajectory tracking performance of the control system in evaluated using modified TMAN simulation program representing as Apache helicopter. It is show that the on-line neural network in an adaptive control architecture is very effective in dealing with the performance depreciation problem of the trajectory tracking control caused by insufficient information of dynamics.

Direct Learning Control for a Class of Multi-Input Multi-Output Nonlinear Systems (다입력 다출력 비선형시스템에 대한 직접학습제어)

  • 안현식
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.40 no.2
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    • pp.19-25
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    • 2003
  • For a class of multi-input multi-output nonlinear systems which perform a given task repetitively, an extended type of a direct leaning control (DLC) is proposed using the information on the (vector) relative degree of a multi-input multi-output system. Existing DLC methods are observed to be applied to a limited class of systems with the relative degree one and a new DLC law is suggested which can be applied to systems having higher relative degree. Using the proposed control law, the control input corresponding to the new desired output trajectory is synthesized directly based on the control inputs obtained from the learning process for other output trajectories. To show the validity and the performance of the proposed DLC, simulations are performed for trajectory tracking control of a two-axis SCARA robot.

Performance Analysis of a UAV Energy Harvesting Relay Network in the Terahertz Band (테라헤르츠 대역 무인비행체 에너지 수확 릴레이 네트워크 성능분석)

  • Yeongi Cho;Saifur Rahman Sabuj;Han-Shin Jo
    • Journal of IKEEE
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    • v.27 no.4
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    • pp.411-417
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    • 2023
  • Unmanned aerial vehicle (UAV)-assisted relay has the advantages of ease of deployment, good communication channels, and mobility over traditional terrestrial relay, which greatly improves wireless connectivity. In this paper, we design a UAV-enabled relay network that can utilize radio frequency bands to harvest energy from sources and utilize terahertz (THz) bands to transmit information between secondary transmitters and receivers. Next, we solve the optimal position of the UAV that maximizes the relay channel capacity, and propose an algorithm to design two trajectories of UAV (a straight and an elliptical trajectory) using the derived solution. Numerical results show that the straight trajectory is better in terms of harvested energy and channel capacity.

Off-Line Programming System of SCARA Robot (스카라로봇을 위한 오프라인 프로그래밍 시스템)

  • Jung, C. W.;Son, K.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.588-592
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    • 1993
  • 본 연구에서는 로봇의 교시, 궤적계획, 충돌, 로봇동작, 제어알고리즘 등의 평가에 유용하게 사용할 수 있는 다기능 오프라인 프로그래밍 시스템인 POLPS(Pusan_national_university's Off-Line Programming System) 를 개발하였다. POLPS은 4축 스카라형 FARA 로봇을 대상으로 개발되었고, 편리한 방법으로 교시작업을 수행할 수 있으며, 교시 내용에 따라 궤적계획을 수행한 후 로봇을 동작시켜 충돌을 회피하는 동적 시뮬레이션을 수행할 수 있다. 제안된 여러 제어알고리즘 중에서 주어진 작업에 적합한 제어알고리즘을 효율적으로 선정하기 위한 성능의 비교와 평가 기능을 갖추고 있는 것이 주요한 특징이다. 또한 시각위치변경, 온선. 온면제거 및 음영처리, 고속 애니메이션, 환경구성, 인터프리터 명령어 등의 다양한 기능으로 편리하게 사용할 수 있다.

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Simulation of tracking errors for non-circular cutting using voice coil motor (VCM을 이용한 비원형 형상 가공의 궤적 오차 시뮬레이션)

  • Hwang J.D.;Kwak Y.K.;Kim S.H.;Ahan J.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.57-58
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    • 2006
  • A Simulation model is developed to minimize the path tracking errors when the non-circular cutting is done by a VCM(voice coil motor) driven tool. The relationship between PWM(Pulse Width Modulation) duty ratio and velocity of voice coil motor is theoretically derived from combining the circuit equation for the coils and the motion equation for the magnetic rod of the voice coil motor. The path tracking errors are showed differently according to the rotational speed, the number of segments and the control period in digital control. Given a required accuracy in the non-circular cutting, the optimal values for those parameters are determined based on the developed simulation model.

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