• 제목/요약/키워드: acceleration tracking

검색결과 228건 처리시간 0.028초

동작 분석기 개발을 위한 Mark의 위치 검출 알고리즘 개발 (A Detection Algorithm of the Position of Marks for the Development of Motion Analyzer)

  • 김성호;이성희;김민기
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1994년도 춘계학술대회
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    • pp.32-34
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    • 1994
  • An automatic multiframe procedure for tracking signalized points on multiple, differently moving discontinuous surface is described. The position of markers which attached on human body give us some important information such as velocity, acceleration, angular velocity and angular acceleration, etc, of the rigid objects. Generally, the detected objects occufying some area in images rather than a point because of the generic size of the marks or the smeared effects of the camera. To solve the problem we used a modified clustering algorithm.

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직진 주행 차량의 강인 적응제어기 설계 (Design of Robust Adaptive Controllers for Longitudinal Motion of Vehicles)

  • 김동헌;김응석;김홍필;양해원
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.113-113
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    • 2000
  • A robust adaptive technique for the longitudinal control of a platoon of automated vehicles is presented. A nonlinear model is used to represent the vehicle dynamics of each vehicle within the platoon. The external disturbance such as wind gust and a disturbance term due to engine transmission variations and so on are considered. The state observer is used to avoid direct measurement of the relative velocity or acceleration between the controlled and leading vehicles or the controlled vehicle's acceleration. It is shown that platoon stability can be recovered in operation even if a speed dependent spacing policy is adopted, which incorporates a constant time headway in addition to the constant distance. The simulation results demonstrate excellent tracking even in the presence of disturbances.

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직진 주행 차량의 강인 적응제어 구조설계 (Design of a Robust Adaptive Control Scheme for Longitudinal Motion of Vehicles)

  • 김동헌;양해원
    • 대한전기학회논문지:시스템및제어부문D
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    • 제50권1호
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    • pp.31-37
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    • 2001
  • A robust adaptive technique for the longitudinal control of a platoon of automated vehicles is presented. A nonlinear model is used to represent the dynamics of each vehicle within the platoon. The external disturbances such as wind gust and a disturbance term due to engine transmission variations and so on are considered. The state observer is used to avoid direct measurement of the relative velocity or acceleration between the controlled and leading vehicles or the controlled vehicles's acceleration. The proposed controller guarantees to recover platoon stability in operation even if a speed dependent spacing policy is adopted, which incorporates a constant time headway in addition to the constant distance. It is shown that the proposed observer is exponentially stable, and the at the robust adaptive controller is stable. The simulation results demonstrate excellent tracking even in the presence of disturbances.

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Improved Kalman filter with unknown inputs based on data fusion of partial acceleration and displacement measurements

  • Liu, Lijun;Zhu, Jiajia;Su, Ying;Lei, Ying
    • Smart Structures and Systems
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    • 제17권6호
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    • pp.903-915
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    • 2016
  • The classical Kalman filter (KF) provides a practical and efficient state estimation approach for structural identification and vibration control. However, the classical KF approach is applicable only when external inputs are assumed known. Over the years, some approaches based on Kalman filter with unknown inputs (KF-UI) have been presented. However, these approaches based solely on acceleration measurements are inherently unstable which leads poor tracking and so-called drifts in the estimated unknown inputs and structural displacement in the presence of measurement noises. Either on-line regularization schemes or post signal processing is required to treat the drifts in the identification results, which prohibits the real-time identification of joint structural state and unknown inputs. In this paper, it is aimed to extend the classical KF approach to circumvent the above limitation for real time joint estimation of structural states and the unknown inputs. Based on the scheme of the classical KF, analytical recursive solutions of an improved Kalman filter with unknown excitations (KF-UI) are derived and presented. Moreover, data fusion of partially measured displacement and acceleration responses is used to prevent in real time the so-called drifts in the estimated structural state vector and unknown external inputs. The effectiveness and performance of the proposed approach are demonstrated by some numerical examples.

항공용 전자광학추적장비의 전달정렬 성능 개선 (Improvement of Transfer Alignment Performance for Airborne EOTS)

  • 김민수;이도근;정치운;정지희
    • 항공우주시스템공학회지
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    • 제16권4호
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    • pp.60-67
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    • 2022
  • 일반적인 항공기의 전자광학추적장비(Electro-Optical Tracking System, EOTS)는 EO/IR, 레이저 센서 등의 구성품으로 구성된다. 표적 획득 시 요구되는 표적 좌표는 내부 구성품인 관성측정장비(Inertial Measurement Unit, IMU)에서 측정되는 자세와 가속도 측정값을 이용하여 획득된다. 특히 무장시스템을 운용하는 항공기의 경우, 무장 발사를 위한 표적 좌표를 얼마나 신속하고 정확하게 획득하는가에 따라 무장시스템의 성능이 좌우된다. 무장시스템에서 요구하는 좌표 정확도를 충족하기 위해서는 IMU가 정렬 완료 상태에서 운용되어야 하므로 신속하게 자세와 가속도를 측정하여 IMU 초기 안정화 시간을 단축하여야 한다. IMU의 정렬은 IMU의 자세 오차를 해소하여 초기 자세를 결정하는 과정이며, 항공용 EOTS와 같은 임무장비의 IMU는 항법용 GPS/INS의 속도 정보를 기준으로 하는 속도정합 전달정렬을 수행한다. 본 논문에서는 이러한 속도정합 전달정렬 시간 단축을 위해 항공기와 임무장비의 자세 변화를 통한 전달정렬 성능 개선방안을 제시하였다. 먼저 전달정렬 모델과 시뮬레이션 결과를 통해서 EOTS의 전달정렬이 지연되는 요소가 방위각 오차임을 식별하였다. 그리고 EOTS의 방위각 오차 해소를 위해 항공기의 가속도 기동 및 EOTS의 자세 변화가 요구됨을 확인하였다. 최종적으로 OOO 항공기 체계에 적용한 비행시험 결과, 항공기 가속도 약 0.2g 이상이 발생하면서 EOTS가 6.7deg/s 각속도로 고각 운동 시 그렇지 않을 때보다 5배 이상 빠르게 정렬이 완료되어 전달정렬 성능이 개선되었다.

A Global Optimal Sliding-Mode Control for the Minimum Time Trajectory Tracking with Bounded Inputs

  • Choi, Hyeung-sik
    • Journal of Mechanical Science and Technology
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    • 제15권4호
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    • pp.433-440
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    • 2001
  • A new design of the sliding mode control is proposed for the uncertain linear time-varying second order system. The proposed control drives system states to the target point in the minimum time with specified ranges of parametric uncertainties and disturbances. One of the advantages of the proposed control scheme is that the control inputs do not go beyond saturation limits of the actuators. The other advantage is that the minimum arrival time and the acceleration of the second order actuators system can be estimated with given parametric bounds and can be expressed in the closed from; conversely, the designer can select actuators based on the condition of the minimum arrival time to the target point. The superior performance of the proposed control scheme to other sliding mode controllers is validated by computer simulations.

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클러터 환경하에서 기동표적의 추적을 위한 가변차원 확률 데이터 연관 필터 (A Variable Dimensional Structure with Probabilistic Data Association Filter for Tracking a Maneuvering Target in Clutter Environment)

  • 안병완;최재원;송택렬
    • 제어로봇시스템학회논문지
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    • 제9권10호
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    • pp.747-754
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    • 2003
  • An enhancement of the probabilistic data association filter is presented for tracking a single maneuvering target in clutter environment. The use of the variable dimensional structure leads the probabilistic data association filter to adjust to real motion of a target. The detection of the maneuver for the model switching is performed by the acceleration estimates taken from a bias estimator of the two stage Kalman filter. The proposed algorithm needs low computational power since it is implemented with a single filtering procedure. A simple Monte Carlo simulation was performed to compare the performance of the proposed algorithm and the IMMPDA filter.

불확실한 로보트 시스템의 제어와 파라미터 추정을 위한 반복학습제어기법 (Control and Parameter Estimation of Uncertain Robotic Systems by An Iterative Learning Method)

  • 국태용;이진수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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    • pp.421-424
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    • 1990
  • An iterative learning control scheme for exact-tracking control and parameter estimation of uncertain robotic systems is presented. In the learning control structure, tracking and feedforward input converge globally and asymptotically as iteration increases. Since convergence of parameter errors depends only on the persistent exciting condition of system trajectories along the iteration independently of length of trajectories, it may be achieved with only system trajectories of small duration. In addition, these learning control schemes are expected to be effectively applicable to time-varying parametric systems as well as time-invariant systems, for the parameter estimation is performed at each fixed time along the iteration. Finally, no usage of acceleration signal and no in version of estimated inertia matrix in the parameter estimator makes these learning control schemes more feasible.

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공작기계의 서보제어와 입력성형기법 (Input Shaping for Servo Control of Machine Tools)

  • 김병섭
    • 한국정밀공학회지
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    • 제28권9호
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    • pp.1011-1017
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    • 2011
  • Servo control loops are a core part in the control architecture of machine tools. Servo control loops manage acceleration, velocity and position of all the axes in a machine tool based on commands. The performance of servo control loops sets the basis for quality of production paris and cycle time reduction. First, this paper presents a general control architecture of machine tools and several control schemes in literature, which can be applicable to machine tools control; including Zero Phase Error Tracking Control (ZPETC) and Cross Coupling Control (CCC). After that, modem control strategies to mitigate the problem of high speed machining are reviewed. In high speed machining, high accelerations excite the machine structure up to high frequencies, thereby exciting the structure's modes of vibration. These structural vibrations need to be damped if accurate positioning or trajectory following is required. Input shaping is an attractive option in dealing with structural vibrations. The advantages and drawbacks of using input shaping technique for machine tools are discussed in detail.

Analysis of the Optimal Frequency Band for a Ballistic Missile Defense Radar System

  • Nguyen, Dang-An;Cho, Byoungho;Seo, Chulhun;Park, Jeongho;Lee, Dong-Hui
    • Journal of electromagnetic engineering and science
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    • 제18권4호
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    • pp.231-241
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    • 2018
  • In this paper, we consider the anti-attack procedure of a ballistic missile defense system (BMDS) at different operating frequencies at its phased-array radar station. The interception performance is measured in terms of lateral divert (LD), which denotes the minimum acceleration amount available in an interceptor to compensate for prediction error for a successful intercept. Dependence of the frequency on estimation accuracy that leads directly to prediction error is taken into account, in terms of angular measurement noises. The estimation extraction is performed by means of an extended Kalman filter (EKF), considering two typical re-entry trajectories of a non-maneuvering ballistic missile (BM). The simulation results show better performance at higher frequency for both tracking and intercepting aspects.