• Title/Summary/Keyword: Euler 각

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Papers : Attitude Determination Algorithm of LEO Satellites in the Sun - Acquisition Mode (논문 : 태양획득 모드에서 저궤도 위성의 자세결정 알고리즘)

  • An,Hyo-Seong;Lee,Seon-Ho;Lee,Seung-U;Chae,Jang-Su
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.1
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    • pp.82-87
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    • 2002
  • The attitude determination in LEO Satellite like KOMPSAT is one of the most important issues for Sun-Acquisition. Particularly, in KOMPSAT, the roll axis direction can be determined since the sun sensor gives the information on the Euler angle for pitch and yaw axes in Sun-Acquisition mode. In other words, it is the problem to determine the two unknown axes direction with one axis knowledge. This paper proposes a new effective method for attitude determination of general LEO satellites when one axis information is avilable and proves its usefulness throughout the simulation.

3D Visualization using Face Position and Direction Tracking (얼굴 위치와 방향 추적을 이용한 3차원 시각화)

  • Kim, Min-Ha;Kim, Ji-Hyun;Kim, Cheol-Ki;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.173-175
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    • 2011
  • In this paper, we present an user interface which can show some 3D objects at various angles using tracked 3d head position and orientation. In implemented user interface, First, when user's head moves left/right (X-Axis) and up/down(Y-Axis), displayed objects are moved towards user's eyes using 3d head position. Second, when user's head rotate upon an X-Axis(pitch) or an Y-Axis(yaw), displayed objects are rotated by the same value as user's. The results of experiment from a variety of user's position and orientation show good accuracy and reactivity for 3d visualization.

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Seismic Analysis of Vertical Pump in Power Plant (발전소용 입축펌프의 내진해석)

  • 최수용;박철희;홍성철;박용석
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1993.10a
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    • pp.163-168
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    • 1993
  • 현대 산업사회에서 발전소는 중요한 시설물이다. 특히 원자력발전소는 지진 과 같은 천재지변시 매우 위험하기 때문에 내진설계가 필수적으로 요구되어 진다. 최근 국내 원자력발전소의 증가와 1986년 이후 만들어진 내진관련 법 규에 따라 내진설계가 보편화 되어가고 있다. 본 연구에서는 발전소에서 쓰 이는 입축펌프를 해석대상기종으로하여 구조해석과 내진해석을 수행하엿다. 입축펌프는 큰 질량을 가진 모터가 펌프의 윗부분에 위치하고 있어 진동문 제가 야기되는 기종이다. 펌프의 고유진동수는 기초부의 강성과 수조의 내수 위에 따라 변하며, 펌프의 축계의 진동수에 비하여 구조계의 진동수가 운전 회전수에 가깝기 때문에 구조계의 진동이 문제시된다. 해석에 있어서 펌프는 단면이 변하는 Euler Beam으로 보고 유한요소법을 사용하여 모델링하였고, 물의 저항에 의한 부가질량을 고려하였다. 내진해석은 응답스펙트럼법으로 수행하였으며 GRS는 Housner가 0.2g에 대하여 제작한 것을 OBE 조건 (0.12g)으로 scaling하여 사용하였다. 각 모드에 대한 합성방법은 SRSS 법을 적용하였다. 또한 응답스펙트럼법과 시간이력해석의 결과를 비교하였으며, 시간이력해석에서, 수치해석방법으로는 Newmark법을 적용하였다. 지진자료 는, 1940년, California에서 발생한 Elcentro 지진 자료를 이용하였다. 연구수 행과정에서 기초강성계수와 수조내 물의 수위를 주된 인자로 하여 이들의 값에 따라 변하는 고유진동수를 고찰하고, 지진입력시 예상되는 최대응답을 구하여, 비교 분석하였다.

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Determination of the Static Rigidity of the End Mill Using Neural Network (신경망을 이용한 엔드밀의 정적 강성 결정)

  • Lee, Sang-Kyu;Ko, Sung-Lim
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.12
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    • pp.143-152
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    • 1997
  • The deflection of an end mill is very important in machining process and cutting simulation because it affects directly workpiece accuracy, cutting force, and chattering. In this study, the deflection of the end mill was studied both experimentally and by using finite element analysis. And the moment of inertia of cross sections of the helical end mill is calculated for the determination of the relation between geometry of radial cross section and rigidity of the tools. Using the Bernoulli-Euler beam theory and the concept of equivalent diameter, a deflection model is established, which includes most influences from tool geomety parameters. It was found that helix angle attenuates the rigidity of the end mill by the finite element analysis. As a result, the equivalent diameter is determined by tooth number, inscribed diameter ratio, cross sectional geometry and helix angle. Because the relation betweem equivalent diameter and each factor is nonlinear, neural network is used to decide the equivalent diameter. Input patterns and desired outputs for the neural network are obtained by FEM analysis in several case of end milling operations.

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Kinematics of an Intrinsic Continuum Robot with Pneumatic Artificial Muscles (공압인공근육을 가진 내부형 연속체로봇의 기구식)

  • Kang, Bong Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.3
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    • pp.289-296
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    • 2016
  • This study presents the kinematics of an intrinsic continuum robot actuated by pneumatic artificial muscles. The single section of a developed continuum robot consisted of three muscles in parallel. The contraction of each muscle according to applied air pressure produced spatial motions of a distal plate with respect to a base plate. Based on the bending behaviors of artificial muscles, the orientation and position of the end-effector of a continuum robot were formulated using a transformation matrix. The orientation and position was also determined for a single section of the distal plate. A Jacobian matrix relating the contraction rate or the pressure rate of the muscles to the velocity vector of the end-effector was calculated considering the assembled position of actuators between neighboring sections of the robot. Experimental results showed that the motions of the intrinsic continuum robot were accurately estimated by the proposed kinematics.

Implementation of a Helmet Azimuth Tracking System in the Vehicle (이동체 내의 헬멧 방위각 추적 시스템 구현)

  • Lee, Ji-Hoon;Chung, Hae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.4
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    • pp.529-535
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    • 2020
  • It is important to secure the driver's external field view in armored vehicles surrounded by iron armor for preparation for the enemy's firepower. For this purpose, a 360 degree rotatable surveillance camera is mounted on the vehicle. In this case, the key idea is to recognize the head of the driver wearing a helmet so that the external camera rotated in exactly the same direction. In this paper, we introduce a method that uses a MEMS-based AHRS sensor and a illuminance sensor to compensate for the disadvantages of the existing optical method and implements it with low cost. The key idea is to set the direction of the camera by using the difference between the Euler angles detected by two sensors mounted on the camera and the helmet, and to adjust the direction with illuminance sensor from time to time to remove the drift error of sensors. The implemented prototype will show the camera's direction matches exactly in driver's one.

Study of the Flush Air Data Sensing System for Subsonic and Supersonic Flows (아음속 및 초음속 유동의 플러시 대기자료 측정장치 연구)

  • Lee, Chang-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.12
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    • pp.831-840
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    • 2019
  • Flush Air Data Sensing system (FADS) estimates air data states using pressure data measured at the surface of flight vehicles. The FADS system does not require intrusive probes, so it is suitable for high performance aircrafts, stealth vehicles, and hypersonic flight vehicles. In this study, calibration procedures and solution algorithms of the FADS for a sphere-cone shape vehicle are presented for the prediction of air data from subsonic to supersonic flights. Five flush pressure ports are arranged on the surface of nose section in order to measure surface pressure data. The algorithm selects the concept of separation for the prediction of flow angles and the prediction of pressure related variables, and it uses the pressure model which combines the potential flow solution for a subsonic flow with the modified Newtonian flow theory for a hypersonic flow. The CFD code which solves Euler equations is developed and used for the construction of calibration pressure data in the Mach number range of 0.5~3.0. Tests are conducted with various flight conditions for flight Mach numbers in the range of 0.6~3.0 and flow angles in the range of -10°~+10°. Air data such as angle of attack, angle of sideslip, Mach number, and freestream static pressure are predicted and their accuracies are analyzed by comparing predicted data with reference data.

Reduction of the residual stress of various oxide films for MEMS structure fabrication (MEMS 공정을 위한 여러 종류의 산화막의 잔류응력 제거 공정)

  • Yi, Sang-Woo;Kim, Sung-Un;Lee, Sang-Woo;Kim, Jong-Pal;Park, Sang-Jun;Lee, Sang-Chul;Cho, Dong-Il
    • Journal of Sensor Science and Technology
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    • v.8 no.3
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    • pp.265-273
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    • 1999
  • Various oxide films are commonly used as a sacrificial layer or etch mask in the fabrication of microelectromechanical systems (MEMS). Large residual strain of these oxide films causes the wafer to bow, which can have detrimental effects on photolithography and other ensuing processes. This paper investigates the residual strain of tetraethoxysilane (TEOS), low temperature oxide (LTO), 7 wt% and 10 wt% phosphosilicate glass (PSG). Euler beams and a bent-beam strain sensor are used to measure the residual strain. A poly silicon layer is used as the sacrificial layer, which is selectively etched away by $XeF_2$. First, the residual strain of as-deposited films is measured, which is quite large. The residual strain of the films is also measured after annealing them not only at $500^{\circ}C$, $600^{\circ}C$, $700^{\circ}$ and $800^{\circ}C$ in $N_2$ environment for 1 hour but also at the conditions for depositing a $2\;{\mu}m$ thick polysilicon at $585^{\circ}C$ and $625^{\circ}C$. Our results show that the 7 wt% PSG is best suited as the sacrificial layer for $2\;{\mu}$ thick polysilicon processes.

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Study of Neural Network Training Algorithm Comparison and Prediction of Unsteady Aerodynamic Forces of 2D Airfoil (신경망 학습알고리즘의 비교와 2차원 익형의 비정상 공력하중 예측기법에 관한 연구)

  • Kang, Seung-On;Jun, Sang-Ook;Park, Kyung-Hyun;Jeon, Yong-Hee;Lee, Dong-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.5
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    • pp.425-432
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    • 2009
  • In this study, the ability of neural network in modeling and predicting of the unsteady aerodynamic force coefficients of 2D airfoil with the data obtained from Euler CFD code has been confirmed. Neural network models are constructed based on supervised training process using Levenberg-Marquardt algorithm, combining this into genetic algorithm, hybrid genetic algorithm and the efficiency of the two cases are analyzed and compared. It is shown that hybrid-genetic algorithm is more efficient for neural network of complex system and the predicted properties of the unsteady aerodynamic force coefficients of 2D airfoil by the neural network models are confirmed to be similar to that of the numerical results and verified as suitable representing reduced models.

Extended Kalman Filtering for I.M.U. using MEMs Sensors (반도체 센서의 확장칼만필터를 이용한 자세추정)

  • Jeon, Yong-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.4
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    • pp.469-475
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    • 2015
  • This paper describes about the method for designing an extended Kalman filter to accurately measure the position of the spatial-phase system using a semiconductor sensor. Spatial position is expressed by the correlation of the rotated coordinate system attached to the body from the inertia coordinate system (a fixed coordinate system). To express the attitude, quaternion was adapted as a state variable, Then, the state changes were estimated from the input value which was measured in the gyro sensor. The observed data is the value obtained from the acceleration sensor. By matching between the measured value in the acceleration sensor and the predicted calculation value, the best variable was obtained. To increase the accuracy of estimation, designation of the extended Kalman filter was performed, which showed excellent ability to adjust the estimation period relative to the sensor property. As a result, when a three-axis gyro sensor and a three-axis acceleration sensor were adapted in the estimator, the RMS(Root Mean Square) estimation error in simulation was retained less than 1.7[$^{\circ}$], and the estimator displayed good property on the prediction of the state in 100 ms measurement period.