• 제목/요약/키워드: Trajectory model

검색결과 1,020건 처리시간 0.028초

Trajectory Following Control Using Cogging Force Model in Linear Positioning System

  • Chung, Myung-Jin;Gweon, Dae-Gab
    • International Journal of Precision Engineering and Manufacturing
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    • 제3권3호
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    • pp.62-68
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    • 2002
  • To satisfy the requirement of the one axis linear positioning system, which is following control of the desired trajectory without following error and is the high positioning accuracy, feed-forward loop having cogging force model is proposed. In the one axis linear positioning system with linear PM motor, cogging force acting as disturbance is modeled analytically. Analytic model of cogging force is verified by result measured from positioning system constructed with linear PM motor. Measured result is very similar with proposed analytic model. Cogging force model is used as feet forward loop in control scheme of linear positioning system. Cogging force feed-forward'loop is obtained from analytic model of cogging farce. Trajectory following error is reduced from 300nm to 100nm by applying the proposed cogging farce feed-forward loop. By using analytic model of cogging force, the control scheme is simplified. Also this analytic model is applicable to calculation of characteristic value of positioning system in design process.

불연속적인 궤적에서 로봇 점 배치작업에 사용된 비젼 제어기법의 실용성에 대한 연구 (A Study on the Practicality of Vision Control Scheme used for Robot's Point Placement task in Discontinuous Trajectory)

  • 손재경;장완식
    • 한국생산제조학회지
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    • 제20권4호
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    • pp.386-394
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    • 2011
  • This paper is concerned with the application of the vision control scheme for robot's point placement task in discontinuous trajectory caused by obstacle. The proposed vision control scheme consists of four models, which are the robot's kinematic model, vision system model, 6-parameters estimation model, and robot's joint angles estimation model. For this study, the discontinuous trajectory by obstacle is divided into two obstacle regions. Each obstacle region consists of 3 cases, according to the variation of number of cameras that can not acquire the vision data. Then, the effects of number of cameras on the proposed robot's vision control scheme are investigated in each obstacle region. Finally, the practicality of the proposed robot's vision control scheme is demonstrated experimentally by performing the robot's point placement task in discontinuous trajectory by obstacle.

표준 탄도모델 기반 항력감소탄의 모터 자료 결정에 관한 연구 (A Study on Determination of Motor Data of a Base-Bleed Projectile based on Standard Ballistic Model)

  • 박용인;이치훈;고영성
    • 한국군사과학기술학회지
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    • 제27권1호
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    • pp.31-42
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    • 2024
  • In this study, the methodology of determination of base bleed motor data for base bleed projectile based on the NATO standard trajectory model, especially STANAG 4355 Method 2 were presented. Ground combustion experiments and aerodynamic performance firing tests were conducted to determine the drag reduction motor data of the base bleed projectile and this data was described based on the NATO standard ballistic model. The derived drag reduction motor data were input into the ballistic equations to complete the ballistic model and it was confirmed that the calculated predicted trajectory from the ballistic model matched well with the measured trajectory from the aerodynamic performance firing tests.

Vehicle trajectory prediction based on Hidden Markov Model

  • Ye, Ning;Zhang, Yingya;Wang, Ruchuan;Malekian, Reza
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권7호
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    • pp.3150-3170
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    • 2016
  • In Intelligent Transportation Systems (ITS), logistics distribution and mobile e-commerce, the real-time, accurate and reliable vehicle trajectory prediction has significant application value. Vehicle trajectory prediction can not only provide accurate location-based services, but also can monitor and predict traffic situation in advance, and then further recommend the optimal route for users. In this paper, firstly, we mine the double layers of hidden states of vehicle historical trajectories, and then determine the parameters of HMM (hidden Markov model) by historical data. Secondly, we adopt Viterbi algorithm to seek the double layers hidden states sequences corresponding to the just driven trajectory. Finally, we propose a new algorithm (DHMTP) for vehicle trajectory prediction based on the hidden Markov model of double layers hidden states, and predict the nearest neighbor unit of location information of the next k stages. The experimental results demonstrate that the prediction accuracy of the proposed algorithm is increased by 18.3% compared with TPMO algorithm and increased by 23.1% compared with Naive algorithm in aspect of predicting the next k phases' trajectories, especially when traffic flow is greater, such as this time from weekday morning to evening. Moreover, the time performance of DHMTP algorithm is also clearly improved compared with TPMO algorithm.

선형 역덤벨 모델을 이용한 이족 보행 로봇의 기준 ZMP 궤적 생성 및 보행 구현 (Reference ZMP Trajectory Generation and Implementation for a Biped Robot via Linear Inverted Dumbbell Model (LIDM))

  • 이상용;김화수
    • 한국정밀공학회지
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    • 제29권4호
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    • pp.417-425
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    • 2012
  • This paper presents reference ZMP trajectory generation and implementation for a biped robot via linear inverted dumbbell model (LIDM), which can consider the effect of external momentum on the center of mass (COM) of robot. Based on a reference ZMP trajectory derived by using LIDM, a base trajectory is proposed not only to make the locomotion of robot similar to that of human but also to facilitate its implementation and tuning. In order to realize a dynamic walking using the proposed trajectory, compliance, impedance and ZMP tracking controllers are adopted together. Extensive experiments show that the proposed locomotion of a biped robot is stable and also, similar to that of human. Further researches on balance recovery of a biped robot will be carried out to guarantee its robust locomotion in combination with the proposed trajectory.

Multi-system vehicle formation control based on nearest neighbor trajectory optimization

  • Mingxia, Huang;Yangyong, Liu;Ning, Gao;Tao, Yang
    • Advances in nano research
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    • 제13권6호
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    • pp.587-597
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    • 2022
  • In the present study, a novel optimization method in formation control of multi -system vehicles based on the trajectory of the nearest neighbor trajectory is presented. In this regard, the state equations of each vehicle and multisystem is derived and the optimization scheme based on minimizing the differences between actual positions and desired positions of the vehicles are conducted. This formation control is a position-based decentralized model. The trajectory of the nearest neighbor are optimized based on the current position and state of the vehicle. This approach aids the whole multi-agent system to be optimized on their trajectory. Furthermore, to overcome the cumulative errors and maintain stability in the network a semi-centralized scheme is designed for the purpose of checking vehicle position to its predefined trajectory. The model is implemented in Matlab software and the results for different initial state and different trajectory definition are presented. In addition, to avoid collision avoidance and maintain the distances between vehicles agents at a predefined desired distances. In this regard, a neural fuzzy network is defined to be utilized in conjunction with the control system to avoid collision between vehicles. The outcome reveals that the model has acceptable stability and accuracy.

모델 램제트 연소기 내에서의 정상/가진 수직 분무 특성 연구 (An Investigation on the Spray Characteristics of Steady/Plused Jet in Crossflow in Model Ramjet Combustor)

  • 김진기;송진관;김민기;윤영빈;황용석
    • 한국분무공학회지
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    • 제13권2호
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    • pp.99-106
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    • 2008
  • In this study, spray characteristics research of steady/pulsed injection in crossflow was performed experimentally in the model ramjet combustor. High-speed-camera photography was performed through a visualization window of model combustor, and then, steady and pulsed spray structures were observed and analyzed. Varying influx air temperature and fuel species, we could obtain the trajectory correlation in the steady injection case. In the experiment of pulsed injection, it is found that the pulsed frequency hardly influences spray trajectory. Also, it is found that, in the same injection pressure differential, the trajectory correlation of steady condition can be used for estimating pulsed spray trajectory.

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공구 궤적 재구성에 의한 밀링 가공 오차의 보상에 관한 연구 (A Study on the Compensation of Milling Errors by Regenerating of Tool Trajectory)

  • 쟝이브하스퀘트;필립데팡세;서태일
    • 한국정밀공학회지
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    • 제15권11호
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    • pp.137-144
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    • 1998
  • In this paper we present our research dealing with the problem of tool deflection during the milling. We try to compensate the errors by considering a new tool trajectory. In order to determine the compensated tool trajectory, the problem is divided in three steps : cutting forces model, tool deflection model and trajectory compensation. Starting from experimental data, we determine a cutting forces model., which allows us to anticipate the tool deflection along one nominal path. In order to determine the compensated tool trajectory, we propose in this paper a method of path compensation, called “mirror method”. This method of tool path optimization allows to minimize errors due to tool deflection. Several examples are processed in simulations and validated experimentally.

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Spatio-Temporal Analysis of Trajectory for Pedestrian Activity Recognition

  • Kim, Young-Nam;Park, Jin-Hee;Kim, Moon-Hyun
    • Journal of Electrical Engineering and Technology
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    • 제13권2호
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    • pp.961-968
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    • 2018
  • Recently, researches on automatic recognition of human activities have been actively carried out with the emergence of various intelligent systems. Since a large amount of visual data can be secured through Closed Circuit Television, it is required to recognize human behavior in a dynamic situation rather than a static situation. In this paper, we propose new intelligent human activity recognition model using the trajectory information extracted from the video sequence. The proposed model consists of three steps: segmentation and partitioning of trajectory step, feature extraction step, and behavioral learning step. First, the entire trajectory is fuzzy partitioned according to the motion characteristics, and then temporal features and spatial features are extracted. Using the extracted features, four pedestrian behaviors were modeled by decision tree learning algorithm and performance evaluation was performed. The experiments in this paper were conducted using Caviar data sets. Experimental results show that trajectory provides good activity recognition accuracy by extracting instantaneous property and distinctive regional property.

나선주사영상에서 모델 기반 경사자계 보상 (Model-based Gradient Compensation in Spiral Imaging)

  • 조상흠;김판기;임종우;안창범
    • Investigative Magnetic Resonance Imaging
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    • 제13권1호
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    • pp.15-21
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    • 2009
  • 목적 : 나선 주사 영상에서 경사자계시스템의 회로 모델을 기반으로 실제 경사 자계를 추정하여 재구성에 사용함으로써 재구성 영상을 개선하는 방법을 제안하였다. 대상 및 방법 : 자기공명영상장치의 경사자계 시스템은 저항 성분과 자체 인덕턴스, magnet 시스템과의 상호 인덕턴스, 커패시턴스 성분 등을 가지고 있어서 경사자계 증폭기에 인가하는 입력 경사자계 파형과 실제 만들어지는 경사자계 사이에는 시간적인 지연과 함께 파형에도 차이가 있다. 나선주사 영상에서 실제 만들어진 경사자계 파형 및 k-space 궤적은 재구성 과정에서 매우 중요한 역할을 한다. 본 논문에서는 경사자계시스템을 회로 소자로 모델링하였고, 입력 전압 파형에 대한 출력 전류 파형을 구함으로써 실제 얻어지는 경사자계파형을 유도하였다. 모델링에서 사용한 R-L-C 값은 재구성영상의 화질로부터 얻을 수 있는 방법을 제시하였다. 결과 : 1.5 Tesla MRI 시스템에서 경사자계 시스템의 입력 전압 파형에 대하여 실제 얻어지는 경사자계 파형을 추정할 수 있었다. 경사자계파형을 적분함으로써 얻어진 나선 궤적을 재구성에 적용한 결과 재구성 영상의 균일도가 개선되었고, edge 부근에서 overshoot 가 줄어들었으며, 해상도가 향상된 영상을 얻을 수 있었다. 결론 : R-L-C 회로 모델을 이용하여 경사자계시스템을 성공적으로 모델링할 수 있었고, 입력 전압 파형에 대하여 실제 얻어지는 경사자계(전류) 파형을 추정할 수 있었다. 이로부터 얻은 kspace 나선 궤적을 이용하여 월등히 개선된 재구성영상을 얻을 수 있었다.

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