• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.99-99
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• 2012

본 개발에서는 초고속복합분자펌프 구동을 위한 디지털 구동장치를 설계하였다. BLDC구동을 위한 디지털 제어 시스템의 핵심제어 보드 설계 및 모듈 설계를 하여 보드제작 및 기본성능평가를 하고 고속 회전 실험을 하였다. AMB제어기는 넓은 제어대역폭을 확보하기 위하여 FPGA 1개와 마이크로 콘트롤러 2개를 사용하여 구성하였으며 FPGA로 AMB구동을 위한 PWM기능과 CPU 2개의 원활한 Data 통신을 위하여 Dual Memory을 구현하였으며 PWM의 디지털노이즈 회피를 위하여 AMB구동용 PWM과 동기화하여 Gap Sensor 및 전류센서신호 샘플링할 수 있도록 ADC를 구동 및 샘플링한다. 그리고 Gap Sensor 구동 회로와 제어기회로를 하나의 보드로 구연하였다.

• Korean Chemical Engineering Research
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• v.47 no.3
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• pp.327-331
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• 2009

A thermally coupled distillation system is constructed using two columns used in a conventional two column system, and its operability is examined by investigating the dynamic behavior. For the control of three product specifications, the step response test is performed and a $3{\times}3$ control structure using flow rates of overhead and side products and vapor boilup is suggested. The performance of the proposed control system indicates that the specification control of bottom product is the most difficult but the operation of the proposed system is available.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.91-91
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• 2011

본 개발에서는 초고속 복합 분자펌프 구동을 위한 디지털 구동장치를 설계 하였다. 초고속 모터구동을 위한 핵심제어 보드 설계 및 모듈을 설계하여 기본성능을 평가하였다. 또한 초고속 전동기 운전시 급가속 성능을 향상 하기 위해 홀센서에 의한 위치측정 오차를 최소화하는 관측기를 설계하여 모터제어기를 설계하여 고속회전 시험을 하였다. AMB 구동을 위한 전류제어기를 제작하여 성능시험을 하였다. AMB 구동을 위한 와전류식 변위센서 구동부를 설계 제작하였다.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.458-459
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• 2008

이 논문은 자기부상열차 속력에 따른 부상제어기 성능을 분석한다. 현재 실용화 사업은 시속 110km/h 속력으로 부상공극 8 mm 기준으로 상하 3 mm 이하 변화를 목표로 개발 중에 있다. 부상제어기의 안정성에 영향을 미치는 외란으로는 가이드웨어 처짐, 크로스아암에 의한 레일 처짐, 레일 불균일, 레일 연결부 단차 등이 있다. 이러한 외란이 복합적으로 작용하지만, 설계 단계에서 각각의 영향을 단순화하여 독립적으로 그 영향을 분석할 필요가 있다. 본 논문에서는 차량속력에 따른 가이드웨어 처짐이 부상제어기에 미치는 영향을 분석한다. 하나의 전자석과 유연레일을 모델링하고 상태궤환을 갖는 제어기를 제안하여 속력에 따른 부상공극 변화를 관찰한다. 모의시험 결과 12 mm 레일의 휘어짐 상황에서 속력에 따라 부상 공극 변화가 커지지만, 실용화 사업의 목표를 달성함을 알 수 있었다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1589-1590
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• 2007

본 논문에서는 대체에너지 발전시스템이 포함되는 복합발전시스템의 구성 및 운전 특성 등을 분석하고 종합적인 엔지니어링 기술 확보에 필요한 Hardware-in-the-loop(HIL) Simulator의 구조를 제시하며 이를 효율적으로 제어할 수 있는 운영 소프트웨어를 개발하였다. 개발된 HIL Simulator는 복합발전 시스템을 구성하는 서브시스템의 제어기를 설계하는데 유용하게 사용할 수 있다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.284-287
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• 2001

This paper presents the robust control simulation of a composite beam using self-sensing actuators(SSA). The self-sensing actuator is a new concept for intelligent material, where a single piezoelectric element simultaneously functions as both a sensor and an actuator. In a practical implementation of the self-sensing actuator an electrical bridge circuit is used to measure strain. The circuit could provide significant information about strain in the element if it were well-balanced. Our aim is design a robust controller which guarantees that the performance of a self-sensing actuator is robust against perturbation of the bridge balance and to confirm the advantages of this technique. Simulation results show that the self-sensing actuator driven by the designed controller exhibits excellent performance in suppressing the vibration of a composite beam.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.7
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• pp.74-81
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• 1995

In this paper, a composite controller cosisted of bandpass feedback controller and LQG/LTR controller is applied to a quarter-car model moving on a randomly profiled road. The LQG/LTR controller is used to achieve a design transfer toop. A bandpass feedback controller is adopted to eliminate the response due to the disturbance, which generally can not be measured, confined within an interested frequence range. The random road profile considered as colored noise is shaped from white noise by use of shaping filter. The performance of the composite control system is compared with that of an LQG/LTR control system.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.37 no.3
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• pp.72-83
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• 2000

This paper presents the implementation of the position control system for 3 phase induction motor using reaching mode controller and neural networks. The reaching mode controller is used to bring the position error and speed error trajectories toward the sliding surface and to train neural networks at the first time. The structure of the reaching mode controller consists of the switch function of sliding surface. And feedforward neural networks approximates the equivalent control input using the reference speed and reference position and actual speed and actual position measured form an encoder and, are tuned on-line. The reaching mode controller and neural networks are applied to the position control system for 3 phase induction motor and, are compared with a PI controller through computer simulation and experiment respectively. The results are illustrated that the output of reaching mode controller is decreased and feedforward neural networks take charge of the main part for the control action, and the proposed controllers show better performance than the PI controller in abrupt load variation and the precise control is possible because the steady state error can be minimized by training neural networks.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.11 no.4
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• pp.37-42
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• 2001

Active vibration control of laminated composite plates has been carried out to design structure with maximum possible damping capacity, using piezoceramic sensor/actuators and passive constrained-layer damping treatment. The equations of motion are derived for symmetrical, multi-layer laminated plates. The damping ratio(ζ) and modal damping(2ζ$\omega$) of the first bending and torsional modes are calculated by means of iterative complex eigensolution method for both passive and active vibration control. This paper addresses a design strategy of laminated composite plate under structural vibrations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1993-1997
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• 2009

Robust control for DC servo motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID controller has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem, in this paper, PID-neural network hybrid control method for motor control system is presented. The output of neural network controller is determined by error and rate of error change occurring in load disturbance. The robust control of DC servo motor using neural network controller is demonstrated by computer simulation.