• Title/Summary/Keyword: trajectory operation

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Video Retrieval based on Objects Motion Trajectory (객체 이동 궤적 기반 비디오의 검색)

  • 유웅식;이규원;김재곤;김진웅;권오석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.5B
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    • pp.913-924
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    • 2000
  • This paper proposes an efficient descriptor for objects motion trajectory and a video retrieval algorithm based on objects motion trajectory. The algorithm describes parameters with coefficients of 2-order polynomial for objects motion trajectory after segmentation of the object from the scene. The algorithm also identifies types, intervals, and magnitude of global motion caused by camera motion and indexes them with 6-affine parameters. This paper implements content-based video retrieval using similarity-match between indexed parameters and queried ones for objects motion trajectory. The proposed algorithm will support not only faster retrieval for general videos but efficient operation for unmanned video surveillance system.

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Relationship between motion speed and working accuracy of industrial articulated robot arms

  • Goto, Satoru;Nakamura, Masatoshi;Kyura, Nobuhiro
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.230-233
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    • 1993
  • This paper described a relationship between motion speed and working accuracy of industrial articulated robot arms. Working accuracy of the robot arm deteriorates at high speed operation caused by a nonlinear transformation of the kinematics and the time delay of the robot arm dynamic. The deterioration of the following trajectory was expressed as a linear function of the squares of the robot arm motion speed, depending upon a posture of the robot arm and division interval of the objective trajectory.

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Korea Pathfinder Lunar Orbiter (KPLO) Operation: From Design to Initial Results

  • Moon-Jin Jeon;Young-Ho Cho;Eunhyeuk Kim;Dong-Gyu Kim;Young-Joo Song;SeungBum Hong;Jonghee Bae;Jun Bang;Jo Ryeong Yim;Dae-Kwan Kim
    • Journal of Astronomy and Space Sciences
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    • v.41 no.1
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    • pp.43-60
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    • 2024
  • Korea Pathfinder Lunar Orbiter (KPLO) is South Korea's first space exploration mission, developed by the Korea Aerospace Research Institute. It aims to develop technologies for lunar exploration, explore lunar science, and test new technologies. KPLO was launched on August 5, 2022, by a Falcon-9 launch vehicle from cape canaveral space force station (CCSFS) in the United States and placed on a ballistic lunar transfer (BLT) trajectory. A total of four trajectory correction maneuvers were performed during the approximately 4.5-month trans-lunar cruise phase to reach the Moon. Starting with the first lunar orbit insertion (LOI) maneuver on December 16, the spacecraft performed a total of three maneuvers before arriving at the lunar mission orbit, at an altitude of 100 kilometers, on December 27, 2022. After entering lunar orbit, the commissioning phase validated the operation of the mission mode, in which the payload is oriented toward the center of the Moon. After completing about one month of commissioning, normal mission operations began, and each payload successfully performed its planned mission. All of the spacecraft operations that KPLO performs from launch to normal operations were designed through the system operations design process. This includes operations that are automatically initiated post-separation from the launch vehicle, as well as those in lunar transfer orbit and lunar mission orbit. Key operational procedures such as the spacecraft's initial checkout, trajectory correction maneuvers, LOI, and commissioning were developed during the early operation preparation phase. These procedures were executed effectively during both the early and normal operation phases. The successful execution of these operations confirms the robust verification of the system operation.

An Adaptive Iterative Learning Control and Identification for Uncertain Robotic Systems (불확실한 로봇 시스템을 위한 적응 반복 학습 제어 및 식별)

  • 최준영
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.5
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    • pp.395-401
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    • 2004
  • We present an AILC(Adaptive Iterative Learning Control) scheme and a sufficient condition for system parameter identification for uncertain robotic systems that perform the same tasks repetitively. It is guaranteed that the joint velocity and position asymptotically converge to the reference joint velocity and position, respectively. In addition, it is proved that a sufficient condition for parameter identification is the PE(Persistent Excitation) condition on the regressor matrix evaluated at the reference trajectory during the operation period. Since the regressor matrix on the reference trajectory can be easily computed prior to the real robot operation, the proposed algorithm provides a useful method to verify whether the parameter error converges to zero or not.

Voltage Angle Control of an IPMSM for Electric Vehicle Drives (전기자동차 구동을 위한 IPMSM의 전압각 제어)

  • Ko, Tae-Hoon;Kim, Sang-Hoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.22 no.5
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    • pp.397-403
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    • 2017
  • This paper studies the voltage angle control of interior permanent magnet synchronous motors (IPMSMs). For voltage angle control, the optimum voltage angle trajectory according to the operating speed is researched while the voltage and current limit conditions are considered. Through research, two different optimum voltage angle trajectories that depend on the design of IPMSMs were found. The IPMSM drive based on a voltage angle control that follows such trajectory is proposed. Unlike the conventional voltage angle control method, which is applied only in the flux-weakening region, the proposed voltage angle control can be implemented in all operation ranges from low to high speed. The proposed method is verified by experiments using a DSC controller for 800 W IPMSM.

Application of trajectory data mining to improve the estimation accuracy of launcher trajectory by telemetry ground system (원격자료수신장비의 발사체궤적 추정정확도 향상을 위한 궤적데이터마이닝의 적용)

  • Lee, Sunghee;Kim, Doo-gyung;Kim, Keun-hyung
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.5
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    • pp.1-11
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    • 2015
  • This paper is focused on how the trajectory of launch vehicle could be optimally estimated by the quadratic regression of trajectory data mining for the operation of telemetry ground system in NARO space center during real-time. To receive the telemetry data, the telemetry ground system has to track the space launch vehicle without tracking loss, and it is possible by the well-designed algorithm to estimate a flight position in real-time. For this reason, the quadratic regression model instead of interpolation was considered to estimate the exact position data of launch vehicle and the improvement of antenna performance. For analysis, the real trajectory data which had been logged during NARO 1st launch mission were used, the estimation result of launcher current position was analyzed by the mathematical modeling. In conclusion, the algorithm using quadratic regression based on trajectory data mining showed the better performance than previous interpolation algorithm to estimate the next flight position and the antenna driving performance.

A Discrete-Time Trajectory Planning Method for robotic Manipulators (로보트 매니퓰레이터를 위한 이산시간 궤적 계획방법)

  • Lee, Bum-Hee
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.2
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    • pp.152-161
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    • 1988
  • In this paper, a direct method for obtaining the trajectory set points is investigated in discrete-time, which is different from the other conventional schemes. We consider the tracking of a straight line path, where the trajectory set points for manipulator control are determined exactly on the straight line path. For the purpose of the munimum-time operation of manipulators, the problem is formulated as a maximization of the Cartesian distance between two consecutive servo time instants. The maximization is subject to the smoothness and torque constraints. Several algorithms are developed and utilized to maximize the Cartesian distance. The proposed approach has been simulated on a VAX-11/780 computer to verify its performance.

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A Study on the Selection of Train Operationg Mode Minimizing the Running Energy Consumption (전동열차 운행에너지를 최소화 하는 운전모드 결정)

  • Kim, Yong-Hyun;Kim, Dong-Hwan;Kim, Chi-Tae
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.119-124
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    • 2005
  • Decision of operation performance mode to minimize the energy consumption of urban rail vehicle. This paper analyses how much acceleration and deceleration of urban rail vehicle should be applied andhow to choose an operation mode to minimize energy consumption when train runs between station within the fixed operation time. The decided operation pattern satisfying the minimum energy consumption becomes a target trajectory and a basis for the controller design criteria. To make this goal it grasps the characteristics of urban rail vehicle, realize operation energy model of urban rail vehicle and verify the accuracy of embodied model the Matlab simulation with the same operation result of real route. It searches for operation pattern to minimize operation energy by changing the acceleration and deceleration on the imaginative route and proposes operation pattern minimizing energy consumption by applying real operation data between Dolgogee-Sukgye section of Seoul Metropolitan Subway Line 6.

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Analysis of Optimal Landing Trajectory in Attitude Angular Velocity Influence at Powered Descent Phase of Robotic Lunar Lander (무인 달착륙선의 동력하강단계에서 자세각속도 영향에 따른 최적화 착륙궤적 분석)

  • Park, Jae-ik;Rew, Dong-Young
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.5
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    • pp.402-409
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    • 2018
  • In this paper, we propose a lunar landing scenario of a robotic lunar landing mission and implements an optimal landing trajectory at the powered descent phase based on the proposed scenario. The change of attitude of the lunar lander in the power descent phase affects not only the amount of fuel used but also sensor operation of image based navigation. Therefore, the attitude angular velocity is included in the cost function of the optimal control problem to minimize the unnecessary attitude change when the optimal landing trajectory generates at powered descent phase of the lunar landing. The influence of the change of attitude angular velocity on the optimal landing trajectory are analyzed by adjusting the weight of the attitude angular velocity. Based on the results, we suggest the proper weight to generate the optimal landing trajectory in order to minimize the influence of the attitude angular velocity.

A study on the direct pole-placement PID self-tuner (직접 극배치 PID 자기 동조기에 관한 연구)

  • 이진원;송형근;윤인섭
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.452-456
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    • 1988
  • A PID controller must need not only good servo response but also little operation of a control valve. We suggest a direct pole-placement PID self-tuning algorithm using the structure of derivative-of-output controller and Bezout identity. This algorithm can much reduce the change of output of controller and well follow the desired trajectory.

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