• 제목/요약/키워드: Robot simulation

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친환경 소재로 형성된 듀얼 펌프캡 용기의 낙하충격 시뮬레이션 분석 (An analysis on the drop impact simulation of dual pump cap container made of eco-friendly materials)

  • 위은찬;고민성;김현정;이중배;김민수;이주형;공정식;백승엽
    • Design & Manufacturing
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    • 제15권1호
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    • pp.57-65
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    • 2021
  • Pump cap is a product that is widely used due to its ease of use and simple operation. These pump caps are applied to heterogeneous functional cosmetics and are being developed as dual pump caps. However, the conventional dual pump cap has a problem in that it is inconvenient to use and leakage occurs. In addition, it is formed of a plurality of materials, and there is a problem that is difficult to recycle. Lately, since the problem of environmental pollution is getting serious, the dual pump cap, which is difficult to recycle, cannot be used. Currently, eco-friendliness has been considered in Korea, and there are no dual pump cap containers with excellent sealing performance. Therefore, in this study, a dual pump cap container made of eco-friendly material was designed. In addition, finite element analysis was performed to verify the design feasibility of the product.

식품계량 및 포장 공정 로봇 적용 자동화 시스템 개발을 위한 3D 시뮬레이션 연구 (3D Simulation Study to Develop Automated System for Robotic Application in Food Sorting and Packaging Processes)

  • 백승훈;오승일;권기현;김태형
    • 한국정보전자통신기술학회논문지
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    • 제16권5호
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    • pp.230-238
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    • 2023
  • 식품제조 중소기업들은 원물 투입부터 최종 팔렛타이징까지 대부분 노동집약적이고 수작업으로 구성되어 있다. 최근 로봇과 센서 데이터 기술요소 적용으로 스마트화 디지털화로 변화하는 추세이다. 본 연구에서는 식품제조기업에서 적용 설비 역량보다 작업자가 속도를 따라가지 못하는 반복작업 공정 2가지를 선정하였으며, 이를 3D 시뮬레이션을 활용하여 개선 효과성을 규명하고자 한다. 꼬치 조립 후 작업자들이 계량 후 포장하는 공정과 무작위로 공급되는 냉동식품류를 계량-내·외포장-팔렛타이징 일괄 수작업 공정 2개를 선정하였다. 가동률, 생산량, 투입 작업자 수를 검증 지표로 선정하였다. 3D 개선 공정 시뮬레이션 결과 생산량은 각각 기존보다 13.5%, 56.8% 증가했으며, 특히 팔렛타이징 로봇 적용 공정에서 높은 효과성을 보였다. 두 공정 모두 가동률과 투입인력 수는 감소함에 따라 작업자에게 피로도가 높은 공정을 로봇으로 대체 적용할 수 있어 작업 과부하를 개선할 수 있는 결과를 나타냈다. 본 연구 결과를 바탕으로 3D 시뮬레이션을 활용하여 식품계량 및 포정 공정에 로봇을 도입함으로써 개선된 공정의 성능을 정량적으로 사전 검증의 가능성을 확인할 수 있었다.

무인 쿼드로터 로봇 횡 방향 제어를 위한 Fuzzy-PI 제어기 설계 (Design of Lateral Fuzzy-PI Controller for Unmanned Quadrotor Robot)

  • 백승준;이덕진;박종호;정길도
    • 제어로봇시스템학회논문지
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    • 제19권2호
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    • pp.164-170
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    • 2013
  • Quadrotor UAV (Unmanned Aerial Vehicle) is a flying robotic platform which has drawn lots of attention in the recent years. The attraction comes from the fact that it is able to perform agile VTOL (Vertical Take-Off Landing) and hovering functions. In addition, the efficient modular structure composed of four electric rotors makes its design easier compared to other single-rotor type helicopters. In many cases, a quadrotor often utilizes vision systems in order to obtain altitude control and navigation solution in hostile environments where GPS receivers are not working or deniable. For carrying out their successful missions, it is essential for flight control systems to have fast and stable control responses of heading angle outputs. This paper presents a Fuzzy Logic based lateral PI controller to stabilize and control the quadrotor vehicle equipped with vision systems. The advantage of using the fuzzy based PI controller lies in the fact that it could acquire a desired output response of a heading angle even in presence of disturbances and uncertainties. The performance comparison of the newly proposed Fuzzy-PI controller and the conventional PI controller was carried out with various simulation results.

빌딩용 DC 배전 시스템의 병렬 운전 시 발생하는 순환전류를 저감시키기 위한 제어 기법 (Control Method for Reducing Circulating Current in Parallel Operation of DC Distribution System for Building Applications)

  • 김학성;신수철;이희준;정철호;한동우;원충연
    • 전력전자학회논문지
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    • 제18권3호
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    • pp.256-262
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    • 2013
  • In the large system such DC distribution for building, the method that a number of modules converters operation in parallel is commonly used. When parallel operation, circulating current is directly related to the loss of the entire system. Accordingly, each module to share the same current is the most important for the safety of the power system. In this paper, control method for reducing circulating current in parallel operation is proposed. furthermore response and operation of steady-state with parallel system was verified by simulation and experiment results.

자동차 산업분야의 효과적인 제조협업 구현을 위한 디지털 엔지니어링 적용 방법론에 대한 연구 (The Methodologies of Digital Engineering Applications to Manufacturing Collaborations in Automotive Industries)

  • 이유철;배혜림
    • 산업공학
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    • 제25권1호
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    • pp.87-95
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    • 2012
  • Very special and tentative considerations including emotional aspects are required to apply any new mechanism and methodologies for manufacturing fields due to several reasons. This study reviews the characteristics of manufacturing collaborations through specific cases applied digital engineering to enhance the collaboration performance in manufacturing domains. Two cases of collaboration related with automotive manufacturing process are analyzed to extract meaningful insights for better collaboration model suggestions. The first case deals the robot simulation to find out advance errors in jig and fixture design during the various welding process of body-in-whites. The effective communication protocol to share their idea and agreed schedules are essential for this collaboration. More severe requirement of collaboration between R&D and manufacturing departments are studied in the second case for e-coating process. The invisible barriers among different departments are lowered by the process application of Computer Aided Engineering which can make sure their own interesting effectively. Those technical and managerial suggestions can be used when the information system and standard process are sought to implement and update not only when innovation projects are executed.

Experiments of Force Control Algorithms for Compliant Robot Motion

  • Kim, Dong-Hee;Park, Jong-Hyeon;Song, Ji-Hyuk;Hur, Jong-Sung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1786-1790
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    • 2004
  • The main objective of this paper is to analyze the performance of various force control algorithms in improving and adjusting the compliance of industrial robots in contact with their environment. Some of fundamental force control algorithms such as sensorless control, impedance control and hybrid position/force control are theoretically analyzed and simulated for various situations of an environment, and then a series of experiments using them were performed. In this paper, a control scheme to use position control in implementing the impedance control was investigated in order to nullify the effect of joint friction. The new reference trajectory is generated using contact force feedback and original desired trajectory. And an inner position control loop is designed to provide accurate position tracking for the new reference trajectory and good disturbance rejection. Experiments to insert a peg in a hole (so-called the peg-in-a-hole task) were performed with HILS (hardware-in-theloop simulation) system based on the results of the analyses and simulations on the characteristics of each control algorithm. The experiments showed that various force control methods improved the performance of robots in close contact with the environment by adjusting their compliance with respect to an arbitrary set of coordinates.

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Trajectory Control of a Hydraulic Excavator using Disturbance Observer in $H_{\infty}$ Framework

  • Choi, Jong-Hwan;Kim, Seung-Soo;Cho, Hyun-Cheol;Ahn, Tae-Kyu;Duoc, Buiquang;Yang, Soon-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.552-557
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    • 2004
  • This paper presents a disturbance observer based on an $H_{\infty}$ controller synthesis for the trajectory control of a hydraulic excavator. Compared to conventional robot manipulators driven by electrical motors, the hydraulic excavator has more nonlinear and coupled dynamics. In particular, the interactions between an excavation tool and the materials being excavated are unstructured and complex. In addition, its operating modes depend on working conditions, which make it difficult to not only derive the exact mathematical model but also design a controller systematically. In this study, the approximated linear model obtained through off-line system identification is used as nominal plant model for a disturbance observer. A disturbance observer based tracking controller which considers the effect of disturbance and model uncertainty is synthesized in $H_{\infty}$ frameworks. Simulation results are used to demonstrate the applicability of the proposed control scheme.

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비선형 시스템을 위한 Takagi-Sugeno 퍼지 샘플치필터 (Takagi-Sugeno Fuzzy Sampled-data Filter for Nonlinear System)

  • 김호준;박진배;주영훈
    • 한국지능시스템학회논문지
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    • 제25권4호
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    • pp.349-354
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    • 2015
  • 본 논문은 비선형 시스템을 위한 T-S 퍼지 샘플치 필터의 안정도 조건을 제시한다. 퍼지 시스템과 퍼지 필터 사이의 에러 시스템을 제시하며, 리아푸노프 안정도 해석 기법을 이용해 에러 시스템의 안정도 조건을 선형행렬부등식의 형태로 표현한다. 제안된 안정도 조건은 기존과는 다른 접근법을 이용하며, 더 나은 성능을 보인다. 모의실험을 통해 제안한 기법의 효용성을 검증한다.

실시간 용접변형 계측을 위한 시스템에 관한 연구 (A Study on System for Real-time Measurement of Welding Distortion)

  • 정재원;김일수;김인주;손성우;심지연
    • Journal of Welding and Joining
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    • 제27권5호
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    • pp.62-67
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    • 2009
  • Welding deformation during the assembly process is affected by not only local shrinkage due to rapid heating and cooling, but also root gap and misalignment between parts to be welded. Therefore, the prediction and control of welding deformation have become of critical importance. In this study, it was focused on the development of the 3-axis apparatus for real-time measurement of the welded deformation. To achieve the objective, a D-H algorithm has been carried out to check the behavioral and performance evaluation for the developed robot. The sequence experiments were taken the base materials of $400{\times}200{\times}4.5mm$ plate for butt welding. The real-time experimental measurements are in good agreement with the measured results.

ROV Manipulation from Observation and Exploration using Deep Reinforcement Learning

  • Jadhav, Yashashree Rajendra;Moon, Yong Seon
    • Journal of Advanced Research in Ocean Engineering
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    • 제3권3호
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    • pp.136-148
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    • 2017
  • The paper presents dual arm ROV manipulation using deep reinforcement learning. The purpose of this underwater manipulator is to investigate and excavate natural resources in ocean, finding lost aircraft blackboxes and for performing other extremely dangerous tasks without endangering humans. This research work emphasizes on a self-learning approach using Deep Reinforcement Learning (DRL). DRL technique allows ROV to learn the policy of performing manipulation task directly, from raw image data. Our proposed architecture maps the visual inputs (images) to control actions (output) and get reward after each action, which allows an agent to learn manipulation skill through trial and error method. We have trained our network in simulation. The raw images and rewards are directly provided by our simple Lua simulator. Our simulator achieve accuracy by considering underwater dynamic environmental conditions. Major goal of this research is to provide a smart self-learning way to achieve manipulation in highly dynamic underwater environment. The results showed that a dual robotic arm trained for a 3DOF movement successfully achieved target reaching task in a 2D space by considering real environmental factor.