• Title/Summary/Keyword: Industrial Controller

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Development of Bay Controller for 170kV GIS (170kV GIS용 Bay Controller 개발)

  • Kim, Min-Soo;Jung, Jung-Ryong;Kim, Jung-Bae;Lee, Hahk-Sung
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1324-1325
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    • 2008
  • 근래 선진 중전기 메이커에서는 차단기, GIS 등의 전통적인 단품 위주에서 탈피하여 전력 IT 기술을 접목한 전력기기/변전소 자동화를 강력하게 추진하고 있다. 특히 전체 변전소를 감시, 제어, 계측, 보호할 수 있도록 전력 IT 기술을 기반으로 한 IEC 61850 적용 변전소 종합 자동화 시스템 개발에 역량을 집중하고 있다. 본 논문에서는 당사에서 개발한 최신 IT 기술을 적용한 IEC 61850 기반 170㎸ GIS용 Bay Controller 관련 구성, 기능, 성능시험 결과에 대해 기술하며, 변전소 내 노이즈로 인해 유발될 수 있는 전자장치 오동작 등을 보증하기 위해 실시한 전자파 장해시험 결과와 GIS와 동일한 환경에 설치되므로 온/습도, 진동/충격시험을 관련 국제규격인 IEC 60255-6, IEC 60255-21-1, 2, 3에 의거하여 실시한 내용을 기술하도록 한다.

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Design of an SDRAM Controller for AMBA AHB-Lite (AMBA AHB 기반 SDRAM 컨트롤러 설계)

  • Kim, Sang Don;Lee, Seung Eun
    • Journal of Korea Society of Industrial Information Systems
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    • v.18 no.5
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    • pp.33-37
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    • 2013
  • In this paper, we introduce a SDRAM controller implemented on FPGA. Modern embedded system adopts SDRAM as a memory to meet the high capacity memory demands. Our SDRAM controller is written in Verilog and verified on an FPGA, demonstrating the functionality along with ARM Cortex-M0, supporting AMBA AHB.

A Study on Tracking Control for Networked Multi-Motor Systems

  • Lee, Hong-Hee;Jung, Eui-Heon
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1897-1900
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    • 2004
  • In recent years, a lot of industrial equipments have serial communication channel such as FieldBus (CAN, Profibus, etc.) or Ethernet that provides real time communication between industrial equipments. Theses applications include gantry crane, robot, chip mounter, etc.. In this paper, we discuss the synchronization technique for networked multi-motor systems where controllers (commercial servo amps) are distributed and interconnected by CAN (Controller Area Networks). We first describe the equivalent model for the individual servo-amp and motor using the frequency response. We design the $H{\infty}$ controller for motion synchronization. Finally, the synchronization technique using the equivalent model and the $H{\infty}$ controller is verified by the simulation and the experiment.

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Current Control of the Forklift using a Fuzzy Controller

  • Bae, Jong-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2552-2556
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    • 2005
  • In general, the forklift driven by DC motor drive system is used in the industrial field. Classically, the DC motor is controlled by current control using proportion control method, by output torque following the load on the plane like a manual operation. But in the industrial field, the forklift is demanded the robust drive mode. Some cases of the mode, there aretrouble in torque control following slope capacity. The control is sensitive concerning about slope angle and output speed, various control method is studied for stability of speed control. In this paper, I apply current control for the self-tuning using the fuzzy controller to obtain robust, stable speed control and use stable, high efficiency control using DSP as main controller for high speed processor, embody dynamic characteristic of control compared the PI controller to the fuzzy controller.

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A Study on Applications and Design of Driving Controller Circuit in hybrid Stepping Motor (Hybrid Stepping Motor의 Driving Controller 설계와 응용에 관한 연구)

  • 최도순
    • Journal of Korea Society of Industrial Information Systems
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    • v.6 no.2
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    • pp.74-79
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    • 2001
  • The Stewing Motor has applied for engineering technology and that special used to auto mobile technology, robot technology and still more automatic machinery. If it make used to the motor for automatic machinery. That have high precision step of motor and high efficiency. n order to operation in this paper, the static position of motor to have analyzing, comparison of constant voltage control methode and constant current methode. And designed to a controller circuit of 4 phase unipolar driving and 2 phase bipolar driving of stepping motor.

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Fault Tolerant Control with Variable Time Weight (가변시간비중을 갖는 내고장성 제어)

  • Hee Gyoo Lee;Zeungnam Bien
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.4
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    • pp.22-30
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    • 1992
  • A redundant control scheme which can maintain its tracking capability in the case of a controller failure is proposed for the industrial applications which need high reliability with fault-tolerance. It consists of two identical controllers and a switching mechanism which includes failure detection and reconfiguration algorithm. The new detection method against controller failure using fuzzy logic enables the detection of controller failures without failure assumptions through the instability of the failed controller. The failed controller is smoothly removed from the control loop by reducing time weight of the failed controller.

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Auto-Tuning PID Controller using Some Heuristic Rules (경험적 규칙을 이용한 자동 동조 PID제어기)

  • 이창구;김성중;황형수
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.39 no.5
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    • pp.485-493
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    • 1990
  • The idea of expert control is to incorporate a rule based expert system in a feedback control system. In this paper, we present some heuristic rules based on relay experiment for the choice of controller structure and the setting of the controller parameters. Heuristic rules are used as an element of the feedback loop in an auto-tuning PID controller. The algorithms are coded in a form which is as pure as possible and the heuristic logic is implemented with the rules. This paper reports an implementation of an expert controller on microcomputer-based system, including an industrial programmable controller.

ON THE CONTROL OF SELECTED MACHINING PROCESSES BY MEANS OF A NEURAL FUZZY CONTROLLER

  • Balazinski, M.;Czogala, E.;Sadowski, T.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1129-1132
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    • 1993
  • This paper presents the idea of a neural fuzzy controller with application to the control of an industrial machining process. The structure of such a controller, which links the idea of a fuzzy controller and a neural network, is suggested. Results of comparative simulations indicate that the proposed neural fuzzy controller performs equally well as a fuzzy logic controller; moreover, it is more flexible and allows faster data processing.

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Speed Control of Induction Machines Using Fuzzy Algorithm with Hierarchical Structure

  • Lee, Ho-Seok;Cho, Soon-Bong;Hyun, Dong-Seok
    • Journal of Electrical Engineering and information Science
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    • v.1 no.2
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    • pp.101-108
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    • 1996
  • A new speed controller based on the fuzzy algorithm with hierarchical structure is presented. The input variables of the controller are speed error and its derivative(change of error), where the output variable is the change of torque current command. Several comparisons were performed with conventional PI (proportional plus integral) controller and proposed controller. These controllers are applied to the laboratory model drive system with 2.2kW induction motor. Some simulation and experimental results show that the speed controller using fuzzy algorithm is more robust than the conventional PI controller.

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Non-linear Adaptive Attitude Controller Design of Quadrotor UAV (쿼드로터 무인기 비선형 적응 자세제어기 설계)

  • Choi, In-Ho;Park, Mu-Hyuk;Kim, Hyun-Gi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.6
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    • pp.2421-2427
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    • 2012
  • This paper is discussed the design on non-linear adaptive attitude controller for quadrotor UAV. Quadrotor UAV featured to have four rotor, required the special controller to compensate for the model parameter uncertainties as the unstable nonlinear system. In this research, we designed the adaptive controller to compensate for the payload changes even though it is changed with industrial applications. Especially, based on the mathematical model of UAV, non-linear adaptive controller is suggested and the stability is verified using the Lyapunov function and finally proved its performance and effectiveness of update laws with various payload by simulation.