• 제목/요약/키워드: Off-line simulation

검색결과 248건 처리시간 0.025초

로봇 OLP 보상을 위한 시각 서보잉 응용에 관한 연구 (A Study on Visual Servoing Application for Robot OLP Compensation)

  • 김진대;신찬배;이재원
    • 한국정밀공학회지
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    • 제21권4호
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    • pp.95-102
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    • 2004
  • It is necessary to improve the exactness and adaptation of the working environment in the intelligent robot system. The vision sensor have been studied for this reason fur a long time. However, it is very difficult to perform the camera and robot calibrations because the three dimensional reconstruction and many processes are required for the real usages. This paper suggests the image based visual servoing to solve the problem of old calibration technique and supports OLP(Off-Line-Programming) path compensation. Virtual camera can be modeled from the real factors and virtual images obtained from virtual camera gives more easy perception process. Also, Initial path generated from OLP could be compensated by the pixel level acquired from the real and virtual, respectively. Consequently, the proposed visually assisted OLP teaching remove the calibration and reconstruction process in real working space. With a virtual simulation, the better performance is observed and the robot path error is calibrated by the image differences.

포항제철 2열연 사상 압연에 대한 개선된 학습 제어의 현장 적용 연구 (A Study of the Application of an Improved Learning Control on the Finishing Mill in No.2 Hot Strip Mill plant in POSCO)

  • 정호성;백기남;허명준;최승갑;정해연
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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    • pp.56-59
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    • 1988
  • The main purpose of Set-up control of hot strip mill plant is to obtain the most regular thickness. Then the learning or adaptive computer control in hot strip rolling mill has been developed. But it is very difficult to keep the inter-stands load distribution ratio uniform; so that the deviation of strip flatness is not avoidable. This leads to the degradation of quality of the products. In this report, an improved method base on the steepest descent method including the computation of optimum step size. This method is applied to the off-line simulation. In consequence, the better balances of inter-stands load distribution is achieved in addition to improvements of output thickness of hot strip mill in POSCO.

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Mobility Improvement of an Internet-based Robot System Using the Position Prediction Simulator

  • Lee Kang Hee;Kim Soo Hyun;Kwak Yoon Keun
    • International Journal of Precision Engineering and Manufacturing
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    • 제6권3호
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    • pp.29-36
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    • 2005
  • With the rapid growth of the Internet, the Internet-based robot has been realized by connecting off-line robot to the Internet. However, because the Internet is often irregular and unreliable, the varying time delay in data transmission is a significant problem for the construction of the Internet-based robot system. Thus, this paper is concerned with the development of an Internet-based robot system, which is insensitive to the Internet time delay. For this purpose, the PPS (Position Prediction Simulator) is suggested and implemented on the system. The PPS consists of two parts : the robot position prediction part and the projective virtual scene part. In the robot position prediction part, the robot position is predicted for more accurate operation of the mobile robot, based on the time at which the user's command reaches the robot system. The projective virtual scene part shows the 3D visual information of a remote site, which is obtained through image processing and position prediction. For the verification of this proposed PPS, the robot was moved to follow the planned path under the various network traffic conditions. The simulation and experimental results showed that the path error of the robot motion could be reduced using the developed PPS.

후판 압연시 선단부 두께편차 보상을 위한 롤갭 설정에 관한 연구 (A Study on the Roll Gap Set-up to Compensate Thickness Variation at Top-end in Plate Rolling)

  • 임홍섭;주병돈;이건엽;서재형;문영훈
    • 소성∙가공
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    • 제18권4호
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    • pp.290-295
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    • 2009
  • The roll gap set-up in the finishing mill is one of the most important technologies in the hot plate rolling process. As the target thickness can be obtained by the correct set-up of the roll gap, improving the roll gap set-up technology is very critical for plate thickness accuracy. The main cause of thickness variation in hot plate mills is the non-uniform temperature distribution along the length of the slab. The objective of this study is to adjust the roll gap set-up for the thickness accuracy of plate in hot rolling process considering top-end temperature drop. Therefore this study has concentrated on determining the correct amounts of thickness variation according to top-end temperature drop and roll gap to compensate thickness variation. The control method of roll gap set-up which can improve the thickness accuracy was proposed. The off-line simulation of compensated roll gap significantly decreases top-end thickness variation.

Design of Fuzzy PD+I Controller Based on PID Controller

  • Oh, Sea-June;Yoo, Heui-Han;Lee, Yun-Hyung;So, Myung-Ok
    • 한국항해항만학회지
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    • 제34권2호
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    • pp.117-122
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    • 2010
  • Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains and to analyse the stability compared to conventional PID controllers. This paper proposes a fuzzy PD+I controller for tracking control which uses a linear fuzzy inference(product-sum-gravity) method based on a conventional linear PID controller. In this scheme the fuzzy PD+I controller works similar to the control performance as the linear PD plus I(PD+I) controller. Thus it is possible to analyse and design an fuzzy PD+I controller for given systems based on a linear fuzzy PD controller. The scaling factors tuning scheme, another topic of fuzzy controller design procedure, is also introduced in order to fine performance of the fuzzy PD+I controller. The scaling factors are adjusted by a real-coded genetic algorithm(RCGA) in off-line. The simulation results show the effectiveness of the proposed fuzzy PD+I controller for tracking control problems by comparing with the conventional PID controllers.

Design of Hybrid Optical Amplifiers for High Capacity Optical Transmission

  • Kim, Seung-Kwan;Chang, Sun-Hyok;Han, Jin-Soo;Chu, Moo-Jung
    • ETRI Journal
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    • 제24권2호
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    • pp.81-96
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    • 2002
  • This paper describes our design of a hybrid amplifier composed of a distributed Raman amplifier and erbium-doped fiber amplifiers for C- and L-bands. We characterize the distributed Raman amplifier by numerical simulation based on the experimentally measured Raman gain coefficient of an ordinary single mode fiber transmission line. In single channel amplification, the crosstalk caused by double Rayleigh scattering was independent of signal input power and simply given as a function of the Raman gain. The double Rayleigh scattering induced power penalty was less than 0.1 dB after 1000 km if the on-off Raman gain was below 21 dB. For multiple channel amplification, using commercially available pump laser diodes and fiber components, we determined and optimized the conditions of three-wavelength Raman pumping for an amplification bandwidth of 32 nm for C-band and 34 nm for L-band. After analyzing the conventional erbium-doped fiber amplifier analysis in C-band, we estimated the performance of the hybrid amplifier for long haul optical transmission. Compared with erbium-doped fiber amplifiers, the optical signal-to-noise ratio was calculated to be higher by more than 3 dB in the optical link using the designed hybrid amplifier.

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뉴로-퍼지 모델을 이용한 단기 전력 수요 예측시스템 (Short-Term Electrical Load Forecasting using Neuro-Fuzzy Models)

  • 박영진;심현정;왕보현
    • 대한전기학회논문지:전력기술부문A
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    • 제49권3호
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    • pp.107-117
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    • 2000
  • This paper proposes a systematic method to develop short-term electrical load forecasting systems using neuro-fuzzy models. The primary goal of the proposed method is to improve the performance of the prediction model in terms of accuracy and reliability. For this, the proposed method explores the advantages of the structure learning of the neuro-fuzzy model. The proposed load forecasting system first builds an initial structure off-line for each hour of four day types and then stores the resultant initial structures in the initial structure bank. Whenever a prediction needs to be made, the proposed system initializes the neuro-fuzzy model with the appropriate initial structure stored and trains the initialized model. In order to demonstrate the viability of the proposed method, we develop an one hour ahead load forecasting system by using the real load data collected during 1993 and 1994 at KEPCO. Simulation results reveal that the prediction system developed in this paper can achieve a remarkable improvement on both accuracy and reliability compared with the prediction systems based on multilayer perceptrons, radial basis function networks, and neuro-fuzzy models without the structure learning.

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CATV/DBS용 신호분기기의 새로운 해석법 및 광대역 설계 (A New Analysis Method and Broad-Band Design of Tap-Offs for CATV/DBS Systems)

  • 김동일;황재현;유현욱;하도훈;정세모
    • 대한전자공학회논문지TC
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    • 제37권12호
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    • pp.22-31
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    • 2000
  • CATV(Cable Television) 및 DBS(Direct Broadcasting Satellite)시스템용 신호분기기(Tap- 011)에 대한 4-Port 회로망의 해석법과 3-port회로망의 해석법을 제안하고, 이를 비교 및 검토한다. 해석법으로는 결합선로형 방향성결합기의 우·기 모오드 이론을 도입하여 변성기형 방향성결합기에 적용하였다. 제안한 해석방법의 타당성을 입증하기 위하여 등가회로를 제안하고, 분기특성을 시뮬레이션한 결과와 실험결과를 비교 검토하여 서로 잘 일치함을 보이고, 5 MHz∼2,500 MHz까지 광대역화하였다.

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멀티미디어 서비스의 품질 보장을 위한 적응적 자원관리 기법에 대한 연구 (Adaptive Online Network Management for QoS Sensitive Multimedia Services)

  • 김승욱;김성천
    • 정보처리학회논문지C
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    • 제13C권7호
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    • pp.933-938
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    • 2006
  • 최근 들어 폭발적으로 증가하고 있는 다양한 형태의 멀티미디어 서비스들은 서로 다른 대역폭과, 다양한 QoS의 보장을 요구한다. 따라서, 한정된 대역폭을 가지는 네트워크의 특성으로 인해 효율적인 대역폭 관리에 대한 관심이 증가하고 있다. 본 논문에서는 네트워크상에서 서로 다른 멀티미디어 서비스를 효율적으로 지원하면서 동시에 우선순위가 높은 서비스의 QoS를 보장할 수 있는 적응적 대역폭 관리 방법을 제안하였다. 네트워크 자원의 효율적인 관리를 위해 제안된 적응적 대역폭 관리기법은 현재 네트워크 상태를 기반으로 하는 온라인 기법으로 적용되어 서로 상충되는 네트워크의 성능 메트릭간의 적절한 균형을 이루도록 설계되었다. 컴퓨터 시뮬레이션을 통하여 대역폭 관리를 위해 제안된 기존의 타 기법들과의 비교, 분석을 수행하여 제안된 방법이 다양한 네트워크 트래픽 상황에서 우수한 성능을 가지는 것을 확인할 수 있었다.

능동소음제어를 위한 Adjoint-LMS 알고리즘의 강인성 개선 (A Robustness Improvement of Adjoint-LMS Algorithms for Active Noise Control)

  • 문학룡;손진근
    • 전기학회논문지P
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    • 제65권3호
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    • pp.171-177
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    • 2016
  • Noise problem that occurs in living environment is a big trouble in the economic, social and environmental aspects. In this paper, the filtered-X LMS algorithms, the adjoint LMS algorithms, and the robust adjoint LMS algorithms will be introduced for applications in active noise control(ANC). The filtered-X LMS algorithms is currently the most popular method for adapting a filter when the filter exits a transfer function in the error path. The adjoint LMS algorithms, that prefilter the error signals instead of divided reference signals in frequency band, is also used for adaptive filter algorithms to reduce the computational burden of multi-channel ANC systems such as the 3D space. To improve performance of the adjoint LMS ANC system, an off-line measured transfer function is connected parallel to the LMS filter. This parallel-fixed filter acts as a noise controller only when the LMS filter is abnormal condition. The superior performance of the proposed system was compared through simulation with the adjoint LMS ANC system when the adaptive filter is in normal and abnormal condition.