• Title/Summary/Keyword: Point trajectory

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얀센 메커니즘을 적용한 보행 로봇 다리의 운동학 해석

  • Kim, Yeong-Du;Bang, Jeong-Hyeon
    • CDE review
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    • v.22 no.2
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    • pp.6-10
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    • 2016
  • This paper presents the kinematics of a walking robot leg based on Jansen mechanism. By using simple mathematics, all trajectories of walking robot leg links can be calculated. A foot point trajectory is used to evaluate the performance of a walking robot leg. Trial and Error method is used to find a best combination of link lengths under certain restrictions. All simulations are performed by Matlab. Ground score, drag score, step size, foot lift, instant speed, and average speed of foot point trajectories are used for selecting the best one.

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6축다관절 로봇 동력분산학습제어

  • 이수철
    • Journal of Korea Society of Industrial Information Systems
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    • v.3 no.1
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    • pp.183-191
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    • 1998
  • 다양한 산업분야의 생산공장에서 주로 활용되고 있는 6축 수직다관절로보트는 대부분 단순반복운동을 하고 있다. 단순반복중 point-to-point제어보다 품질을 요하는 tracking-to-trajectory 제어를 위한 분산학습제어에 대하여 연구하고자 한다. 관련 학습제어기법으로는 선형누적형기법과 간접적응기법이 있다. 두기법의 차이는 시스템 정보의 유무이며, 시스템의 주어진 상황에 따라 두 기법중 하나를 선택할 수 있다. 간접적응형 기법은 zero tracking error를 보장받기 위해서 보다 많은 반복을 요하는 경비를 부담하여야 한다.

6축다관절 로봇 동력분산학습제어

  • 이수철
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1998.03a
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    • pp.125-128
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    • 1998
  • 다양한 산업분야의 생산공장에서 주로 활용되고 있는 6축 수직다관절보트은 대부분 단순반복운동을 하고 있다. 단순반복중 point-to-point제어보다 품질을 요하는 tracking -to-trajectory제어를 위한 분산학습제어에 대하여 연구하고자 한다. 관련 학습제어기법으로는 선형누적기법과 간접적응기법이 있다. 두 기법의 차이는 시스템의 정보의 유무이며 시스템의 주어진상황에 따라 두 기법중 하나를 선택할 수 있다. 간접적응형 기법은 zero tracking error를 보장받기 위해서 보다 많은 반복을 요하는 경비를 부담하여야 한다.

Molecular dynamics simulation of ultra-low energy ion implantation for GSI device technology development (GSI소자 개발을 위한 극 저 에너지 이온 주입에 대한 분자 역학 시뮬레이션)

  • 강정원;손명식;황호정
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.35D no.3
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    • pp.18-27
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    • 1998
  • Molecular dynamicsinvestigations of ion implantation considering point defect generation were performed with ion energies in the range of ~1keV, Simulation starts perfect diamond cubic lattice site. Stillinger-Weber potential and ZBL potential were used to calculate forces between atoms. We have simulated slowing-down of ion velocity, ion trajectory and coupled-coing between ion and silicon. We also discussed distribution of point defect using rdial distribution function. We found that interstitial produced by ion bombardment mainly formed interstitial cluster.

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On the evolutionary technological trajectory using patent citation network and dynamic technology tree analysis: a case study of HVDC(High Voltage DC transmission system (특허 인용 네트워크와 동적 기술트리 분석을 활용한 기술 진화 경로 연구: 초고압 직류송전 시스템 사례)

  • Kim, Jun-Mo;Shin, Juneseuk
    • Journal of Technology Innovation
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    • v.22 no.4
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    • pp.117-143
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    • 2014
  • Tracing an evolutionary technological trajectory in the macroscopic viewpoint is useful for technology policy, but not for corporate technology and intellectual property strategy. Tackling this issue, recent bibliometric studies using patents and papers have made efforts to identify more specific and detailed technological trajectory. However, these studies cannot go beyond simple description of the past trajectory. Also, identification of technology fusion and evolution relies on experts judgments. We suggest a way of identifying microscopic evolutionary technological trajectories by combining patent citation network analysis with dynamic technology tree. Also, using new indicators of generality, diversity and novelty, we can detect key technologies that can be a starting point of next generation technology and derivative technology. HVDC(High Voltage DC transmission) system technology is exemplified.

Moving Mass Actuated Reentry Vehicle Control Based on Trajectory Linearization

  • Su, Xiao-Long;Yu, Jian-Qiao;Wang, Ya-Fei;Wang, Lin-lin
    • International Journal of Aeronautical and Space Sciences
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    • v.14 no.3
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    • pp.247-255
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    • 2013
  • The flight control of re-entry vehicles poses a challenge to conventional gain-scheduled flight controllers due to the widely spread aerodynamic coefficients. In addition, a wide range of uncertainties in disturbances must be accommodated by the control system. This paper presents the design of a roll channel controller for a non-axisymmetric reentry vehicle model using the trajectory linearization control (TLC) method. The dynamic equations of a moving mass system and roll control model are established using the Lagrange method. Nonlinear tracking and decoupling control by trajectory linearization can be viewed as the ideal gain-scheduling controller designed at every point along the flight trajectory. It provides robust stability and performance at all stages of the flight without adjusting controller gains. It is this "plug-and-play" feature that is highly preferred for developing, testing and routine operating of the re-entry vehicles. Although the controller is designed only for nominal aerodynamic coefficients, excellent performance is verified by simulation for wind disturbances and variations from -30% to +30% of the aerodynamic coefficients.

Local Path Generation Method for Unmanned Autonomous Vehicles Using Reinforcement Learning (강화학습을 이용한 무인 자율주행 차량의 지역경로 생성 기법)

  • Kim, Moon Jong;Choi, Ki Chang;Oh, Byong Hwa;Yang, Ji Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.9
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    • pp.369-374
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    • 2014
  • Path generation methods are required for safe and efficient driving in unmanned autonomous vehicles. There are two kinds of paths: global and local. A global path consists of all the way points including the source and the destination. A local path is the trajectory that a vehicle needs to follow from a way point to the next in the global path. In this paper, we propose a novel method for local path generation through machine learning, with an effective curve function used for initializing the trajectory. First, reinforcement learning is applied to a set of candidate paths to produce the best trajectory with maximal reward. Then the optimal steering angle with respect to the trajectory is determined by training an artificial neural network. Our method outperformed existing approaches and successfully found quality paths in various experimental settings, including the cases with obstacles.

Mid-course Trajectory Optimization for Boost-Glide Missiles Based on Convex Programming (컨벡스 프로그래밍을 이용한 추진-활공 유도탄의 중기궤적 최적화)

  • Kwon, Hyuck-Hoon;Hong, Seong-Min;Kim, Gyeong-Hun;Kim, Yoon-Hwan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.1
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    • pp.21-30
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    • 2021
  • Mid-course trajectory of the missiles equipped with seeker should be designed to detect target within FOV of seeker and to maximize the maneuverability at the point of transition to terminal guidance phase. Because the trajectory optimization problems are generally hard to obtain the analytic solutions due to its own nonlinearity with several constraints, the various numerical methods have been presented so far. In this paper, mid-course trajectory optimization problem for boost-glide missiles is calculated by using SOCP (Second-Order Cone Programming) which is one of convex optimization methods. At first, control variable augmentation scheme with a control constraint is suggested to reduce state variables of missile dynamics. And it is reformulated using a normalized time approach to cope with a free final time problem and boost time problem. Then, partial linearization and lossless convexification are used to convexify dynamic equation and control constraint, respectively. Finally, the results of the proposed method are compared with those of state-of-the-art nonlinear optimization method for verification.

Visual Servoing of manipulator using feature points (특징점을 이용한 매니퓰래이터 자세 시각 제어)

  • 박성태;이민철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1087-1090
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    • 2004
  • stereo vision system is applied to a mobile manipulator for effective tasks. The robot can recognize a target and compute the position of the target using a stereo vision system. In this paper we persent a visual approach to the problem of object grasping. First we propose object recognization method which can find the object position and pose using feature points. A robot recognizes the feature point to Object. So a number of feature point is the more, the better, but if it is overly many, the robot have to process many data, it makes real-time image processing ability weakly. In other to avoid this problem, the robot selects only two point and recognize the object by line made by two points. Second we propose trajectory planing of the robot manipulator. Using grometry of between object and gripper, robot can find a goal point to translate the robot manipulator, and then it can grip the object successfully.

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Design of Programming Language for Robot Control (로보트제어를 위한 프로그래밍 언어의 설계)

  • 장성호;홍석교;이광원
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.36 no.2
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    • pp.129-139
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    • 1987
  • In this paper the programming language for Hero-1 robot is developed using Apple II micro computer. The language is composed of main monitor mode, editing mode, execution mode, and debugging mode. The main monitor mode is a main flow of the whole language system and controls starting and terminating procedures of operating the controller, and monitors the others. The editing mode has capability to make a user's maniqulation program. Trajectory planning algorithms(point-to-point motion and linear approximate motion)have been realized in the robot language, and in the case of point-to-point motion, inverse kinematics have been solved for the desired point.