• Title/Summary/Keyword: High-speed vehicle

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Three Phase Drive Transfer Algorithm for Fault Tolerance Control of Six-Phase PMSM (6상 영구자석 동기전동기의 고장대응운전을 위한 3상 구동시스템 전환 알고리즘)

  • Kim, Seong-Hoon;Jang, Won-Jin;Cho, Kwan-Yuhl;Kim, Hag-Wone
    • The Transactions of the Korean Institute of Power Electronics
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    • v.26 no.4
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    • pp.256-262
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    • 2021
  • Six-phase motors can be used in industrial applications, such as an electric vehicle, due to their high reliability and low current magnitude per phase. An asymmetrical PMSM with two sets of three-phase windings is a commonly used structure for six-phase motors, with each winding set demonstrating a phase difference of 30°. Although the asymmetrical PMSM presents low torque ripples, its dynamic torque response deteriorates due to coupled components in the two three-phase windings. The decoupled VSD control is applied to eliminate the coupling effect. Load ratio control of two inverters for the six-phase PMSM is proposed in this study. DQ currents are controlled on the basis of two synchronous reference frames, and the six-phase drive system can be changed to a three-phase drive system when one inverter presents fault conditions. The operation and effectiveness of the proposed algorithm is verified through simulation and experiments. The six-phase drive system is transferred to a three-phase drive system by changing the current reference of the second DQ reference frame. Moreover, control of both torque and speed exhibits satisfactory performance before and after the mode change.

A Study on the Defense System of the Hypersonic Missile Systems (극초음속 미사일 대응을 위한 방어체계에 관한 연구)

  • Lee, Kyoung-haing
    • Journal of Aerospace System Engineering
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    • v.16 no.5
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    • pp.43-48
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    • 2022
  • The Kinzal missile launched by Russia in Ukraine and flew on March 5 or more speeds is the first hypersonic cruise missile used in combat. High speed leads to destructive solid power, and the security system's interception time is significantly reduced. Therefore, hypersonic missiles could be a game-changer. Even the United States, with its multi-layered defense system, admits the difficulty of intercepting it. Military powers like the United States, Russia, China and North Korea are focus on developing hypersonic missiles as offensive weapons, but their defense system capabilities are inadeqate. From this perspective, this paper identifies significant countrie's hypersonic missile development status and defense system capabilities and seeks to derive a countermeasure for the ROK military.

A Case Study on Configuration Change for Preventing Propulsion Wire Fracture and Structural Deformation of Launch System of UAV (무인기용 발사장비의 추진와이어 파단 및 구조변형 방지를 위한 형상변경 사례)

  • Lim, Dahoon;Park, Gyeong Hwan
    • Journal of Korean Society for Quality Management
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    • v.50 no.3
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    • pp.533-543
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    • 2022
  • Purpose: The purpose of this study is to identify and resolve the causes of defects in the unmanned aerial vehicle launch system(propulsion wire fracture, rear rail deformation) and to prevent recurrence. Methods: The causes of the two defects were derived through fault tree analysis for each of the two defects and fault reproduction tests. In the case of propulsion wire, the installation of a high speed camera to check the behavior of wire was the driving force behind the defect resolution. Results: The results of this study are as follows; It was determined that the thickness of the washer was less than the maximum tolerance of the pulley was the cause of the propulsion wire fracture defect. Failure to comply with the launch procedure and insufficient safety margin were judged as the cause of the rear rail deformation defect. Accordingly, the configuration was changed to remove each defect. Conclusion: The case of this study was conducted to eliminate defects in the launch system for UAV. The causes of defects were estimated through fault tree analysis. After the configuration change, Structural analysis and launch tests were performed to demonstrate the safety and effectiveness of the modified configuration. As a result, the effect of the modified configuration was verified.

Encoder Type Semantic Segmentation Algorithm Using Multi-scale Learning Type for Road Surface Damage Recognition (도로 노면 파손 인식을 위한 Multi-scale 학습 방식의 암호화 형식 의미론적 분할 알고리즘)

  • Shim, Seungbo;Song, Young Eun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.2
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    • pp.89-103
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    • 2020
  • As we face an aging society, the demand for personal mobility for disabled and aged people is increasing. In fact, as of 2017, the number of electric wheelchair in the country continues to increase to 90,000. However, people with disabilities and seniors are more likely to have accidents while driving, because their judgment and coordination are inferior to normal people. One of the causes of the accident is the interference of personal vehicle steering control due to unbalanced road surface conditions. In this paper, we introduce a encoder type semantic segmentation algorithm that can recognize road conditions at high speed to prevent such accidents. To this end, more than 1,500 training data and 150 test data including road surface damage were newly secured. With the data, we proposed a deep neural network composed of encoder stages, unlike the Auto-encoding type consisting of encoder and decoder stages. Compared to the conventional method, this deep neural network has a 4.45% increase in mean accuracy, a 59.2% decrease in parameters, and an 11.9% increase in computation speed. It is expected that safe personal transportation will be come soon by utilizing such high speed algorithm.

Classification Analysis of the Physical Environment of Bicycle Road -Focused on Chang Won City, Kyung Nam Province, S. Korea- (자전거 도로의 물리적 환경에 대한 등급화 연구 -창원시 사례를 중심으로-)

  • Moon, Ho-Gyeong;Kim, Dong-Pil;Choi, Song-Hyun;Kwon, Jin-O
    • Korean Journal of Environment and Ecology
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    • v.28 no.3
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    • pp.365-373
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    • 2014
  • This study is to analyze the physical environment and conduct spatial data for bicycle road system in changwon. Index for evaluation index was developed based on literatures. Then the level of importance and weight have been modified through experts review. Finally, index with eight categories such as greenness(40% over), bicycle road connectivity(1.8, 9.8%), road type bike(bicycle lane, 24.4%), pave type(asphalt 72.5%), illegal parking(none, 93.9%), bike road surface visibility(exist, 46.8%), vehicle speed limits(30km, under), vehicle traffic(500/hr under, 44.3%) have been applied to empirical investigation. Collected data has been hierarchically classification by ArcGIS Program. The Highest grades(score 31-35, level 1) occupied 35% of target destination. High level of greenness and load type has contributed to high score. In addition, average level of greenness of those destination was 35% and higher, which provide high degree of security and freshness for bicycle riding. Meanwhile, lowest level(level 5, which earned 15 point or less) occupied 24.5%. illegal parking, low level of greenness, and no surface sign caused low score.

Analysis of the Effect of Learned Image Scale and Season on Accuracy in Vehicle Detection by Mask R-CNN (Mask R-CNN에 의한 자동차 탐지에서 학습 영상 화면 축척과 촬영계절이 정확도에 미치는 영향 분석)

  • Choi, Jooyoung;Won, Taeyeon;Eo, Yang Dam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.1
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    • pp.15-22
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    • 2022
  • In order to improve the accuracy of the deep learning object detection technique, the effect of magnification rate conditions and seasonal factors on detection accuracy in aerial photographs and drone images was analyzed through experiments. Among the deep learning object detection techniques, Mask R-CNN, which shows fast learning speed and high accuracy, was used to detect the vehicle to be detected in pixel units. Through Seoul's aerial photo service, learning images were captured at different screen magnifications, and the accuracy was analyzed by learning each. According to the experimental results, the higher the magnification level, the higher the mAP average to 60%, 67%, and 75%. When the magnification rates of train and test data of the data set were alternately arranged, low magnification data was arranged as train data, and high magnification data was arranged as test data, showing a difference of more than 20% compared to the opposite case. And in the case of drone images with a seasonal difference with a time difference of 4 months, the results of learning the image data at the same period showed high accuracy with an average of 93%, confirming that seasonal differences also affect learning.

Study on the Mechanical Face Seal Performance for a 7-ton-Class Turbopump (7톤급 터보펌프 기계평면실의 성능 시험 연구)

  • Bae, Joonhwan;Kwak, Hyun D.;Choi, Changho
    • Tribology and Lubricants
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    • v.32 no.5
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    • pp.154-159
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    • 2016
  • This paper presents an experimental study of the leakage performance and endurance performance of a mechanical face seal in the 7-ton-class turbopump of the Korea Space Launch Vehicle 2 third-stage engine. We install a mechanical face seal between the fuel pump and turbine to prevent the mixing of the fuel and turbine gas. We design and manufacture a prototype mechanical face seal, which has two parts, namely, a bellows seal assembly and mating ring. We set up a test facility to measure the leakage and endurance of the mechanical face seal. For the similarity tests, we use water under real operating conditions such as high rotational speed, high temperature, and high pressure. Through investigation of the leakage and carbon wear rate, it is possible to evaluate the performance of the mechanical face seal. The results of the leakage and endurance performance test demonstrate the absence of any leakage from the prototype mechanical face seal after a trial run and clarify that the acceptable wear rate fully satisfies the turbopump requirements. Finally, we install a qualified mechanical face seal in a 7-ton-class turbopump and perform a validation test in the turbopump real-propellant test facility in the Korea Aerospace Research Institute. The test results confirm that the mechanical face seal works well under real operating conditions.

Structural Design and Analysis for High Altitude Long Endurance UAV (고고도 장기체공 무인기 구조 설계 및 해석)

  • Kim, Sung Joon;Lee, Seunggyu;Kim, Sung Chan;Kim, Tae-Uk;Kim, Seungho
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.22 no.3
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    • pp.68-73
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    • 2014
  • Research is being carried out at Korea Aerospace Research Institute with aim of design a HALE UAV(High Altitude Long Endurance Unmanned Air Vehicle). HALE UAVs are ideally suited to provide surveillance, remote sensing and communication relay capabilities for both military and civilian applications. HALE UAVs typically cruise at an altitude between 15 km and 20 km, travelling at low speed and circling specific area of interest. Airframe structural point of view, weight reduction of the airframe structure is the most important method to improve the flight efficiency. High modulus CFRP(Carbon Fiber Reinforced Polymer) has been used in designing the structure in order to minimize the airframe weight. With respect to structural design and analysis, the key question is to decide an adequate airworthiness certification base to define suitable load cases for sizing of various structural components. In this study, FAR(Federal Aviation Regulation) 23 have constituted the guidance and benchmark throughout all structural studies. And the MSC/FlightLoads was introduced to analyze the flight loads for the HALE UAV. The MSC/FlightLoads can compute the flexible air load and analyzed loads are distributed on structural model directly. A preliminary structural concept was defined in accordance with the estimated inertial and aerodynamic loads. A FEM analysis was carried out using the MSC/Nastran code to predict the static and dynamic behaviour of UAV structure.

A Study on Exhaust Emission Characteristics of Medium-Duty Trucks according to Emission Standards and Driving Modes (배출허용기준 및 주행모드에 따른 중형화물차의 대기오염물질 배출특성)

  • Chung, Taek Ho;Kim, Sun Moon;Lee, Jong Chul;Lim, Yun Sung;Kim, In Gu;Lee, Jong Tae;Kim, Hyung Jun
    • Journal of ILASS-Korea
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    • v.25 no.1
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    • pp.27-33
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    • 2020
  • NOx, PN and CO emissions from diesel trucks make up a significant portion of domestic air pollutant emissions. Therefore, test vehicles with various emission standards and driving modes were selected to evaluate the emission characteristics of regulated pollutants (NOx, PN, CO) in medium-duty trucks. As a result of test, all test vehicles were satisfied with Euro 5 or 6 regulation. NOx emissions of Euro 6 vehicles with after-treatment of LNT + DPF were lower than those of Euro 5 vehicles with DPF. In WLTC mode, all vehicles have high NOx emissions at section of extra high speeds, which are determined by increased fuel consumption and high combustion temperatures. CO and PN emissions from all vehicles were found to be low at section of low speeds. Also, The NO2/NOx ratio was analyzed at 7-23% in each mode, and the NO2/NOx ratio increased as the average vehicle speed increased. In NIER 9 mode, the CO, HC, and PN emissions were higher under cold conditions of engine than hot conditions of engine. In addition, vehicles with after-treatment system of LNT have similar NOx emissions level in this study.

Debris Dispersion and Falling Prediction Modeling Using AUTODYN to Determine Interception Test Evaluation for Safety Zone (요격시험평가 안전구역 설정을 위한 AUTODYN을 이용한 파편분산 및 낙하 예측 모델링)

  • Kang, Bohyun;Kim, Sangho;Park, Kisoon;Chung, Bongcheul;Lee, Seokwoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.6
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    • pp.745-753
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    • 2019
  • Recently, with the development of long-range / high-altitude guided weapon system for defense against ballistic missile, test range and firing altitude for guided weapons are increasing. Due to the increase in the test range and the intercepting altitude, it is expected to increase the range of safety area required for the firing test. Comparing to the foreign countries which have many desert or non-residence, in the domestic circumstances where the population is concentrated and distributed, it is more important to predict the falling area and to set the safety area for safely carry out the long-range / high-altitude intercept test. In this paper, we consider the following three points. The first is the booster fall trajectory modeling, the second is the shroud fall trajectory modeling, and finally, the debris dispersion modeling for the missile intercept. Especially, the AUTODYN model was used to predict debris falling area which produced in the high-speed guided missile intercepting test.