• Title/Summary/Keyword: stewart platform

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Establishment of Real-time HILS Environment for Small UAV Using 6 D.O.F Motion Table (6자유도 모션테이블을 이용한 소형 무인항공기용 실시간 HILS 환경 구축)

  • Cha, Hyungkyu;Jeong, Jinseok;Shi, Hayoung;Yoon, Junseok;Kang, Beomsoo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.5
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    • pp.326-334
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    • 2019
  • Development of Small UAV using HILS (Hardware In the Loop Simulation) can be effectively used to improve the reliability of UAV (Unmanned Aerial Vehicle) while reducing cost and time. It is also possible to reduce the damage to people or property by simulating the malfunction of the Flight Control Computer (FCC) that may occur during the actual flight. For applying such HILS, a real-time simulation environment capable of providing an environment similar to an actual flight condition is required. In this paper, we constructed a real - time HILS environment for Small UAV using 6 D.O.F motion table. In order to link the 6 D.O.F motion table developed in the previous research with the HILS environment in real time, the motion algorithm was changed from the position control method to the velocity control method. Also, we implemented modeling of inverse kinematics model for command transmission in Matlab $Simulink^{(R)}$ and verified the action of motion table according to the simulation model.

Study on Estimation of Design Factors for 6 Degree-of-Freedom Simulator (6자유도 시뮬레이터의 설계인자 추정에 관한 연구)

  • Yoon, Jun-Seok;Song, Woo-Jin;Byun, Young-Seop;Ku, Tae-Wan;Kim, Jeong;Kang, Beom-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.4
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    • pp.447-456
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    • 2010
  • The application of a reliable motion simulator can contribute effectively in the evaluation of the performance of a vehicle platform in the development stage of a small unmanned aerial vehicle (UAV). Therefore, the research on a reliable motion simulator can accelerate the development of UAV and decrease the relevant cost. In this paper, the design factors considered in the preliminary design stage of a 6 degree-of freedom motion simulator are defined and the motion range of the simulator is described on the basis of these design factors. The length, acceleration, and the required thrust of actuators with respect to the motion simulator under development are also predicted. The motion range can be increased and a suitable actuator can be selected and produced by applying these results in the manufacturing process of the motion simulator. Thus, the reliability of the motion simulators can be achieved during the actual design operation of the UAV.

Development of the Small Scale Testbed for Running Dynamic Characteristics Analysis of the Capsule Train (캡슐트레인 주행 동특성 분석을 위한 축소 시험장치의 개발)

  • Lee, Jin-Ho;You, Won-Hee;Lee, Kwansup
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.9
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    • pp.643-651
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    • 2020
  • A capsule train runs inside a sub-vacuum tube and can reach very high speed due to the low air resistance. A capsule train uses a superconducting electrodynamic suspension (SC-EDS) method for levitation, which allows for a large levitation gap and does not require gap control. However, SC-EDS has inherent characteristics such as the large gap variation and a small damping effect in the levitation force, which can degrade the running stability and ride comfort. To overcome this, a stability improvement device should be designed and applied based on dynamic analysis. In this study, a 1/10 small-scale testbed was developed to replicate the dynamic characteristics of a capsule train and investigate the performance of stability improvement devices. The testbed is composed of a 6-degree-of-freedom Stewart platform for the realization of bogie motion, a secondary suspension with a running stabilization device, and a carbody. Based on the dynamic similarity law proposed by Jaschinski, the small-scale testbed was manufactured, and a bogie motion algorithm was applied with the consideration of guideway irregularity and levitation stiffness. The experimental results from the testbed were compared with simulation results to investigate the performance of the testbed.