• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.50-53
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• 2002

이 논문에서는 CNC 머시닝 센터의 두 서보축을 대상으로 가공정밀도를 유지하면서 최고의 이송속도로 가공 속도를 증가시키는 퍼지 제어 기법을 제안한다. 또한 기존의 오차 모델링 방식이 아닌 비선형 궤적에서도 적용이 가능한 최근의 윤곽오차 모델을 사용한다. 퍼지 소속함수의 입력 변수가 허용 오차에 따라 스케링되고 이송속도와 윤곽오차와의 관계를 퍼지제어룰에 기초하여 허용 오차안에서 매 시간마다 보다 빠른 이송속도를 찾는다. 모의 실험 결과들이 제안한 방법이 기존의 고정된 이송속도를 사용하는 방법과 유사한 윤곽오차를 보이면서도 빠른 가공을 할 수 있음을 보여준다.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.9
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• pp.35-42
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• 1998

Finding a technique to achieve high machining precision and high productivity is an important issue for CNC machining. One of the solutions to meet better performance of machining is feedrate control. In this paper we present an adaptive feedrate neuro-control method for high precision and high speed machining. The adaptive neuro-control architecture consists of a neural network identifier(NNI) and an iterative learning control algorithm with inversion of the NNI. The NNI is an identifier for the nonlinear characteristics of feedrate and contour error, which is utilized in iterative learning for adaptive feedrate control with specified contour error tolerance. The proposed neuro-control method has been successfully evaluated for machining circular, corner and involute contours by computer simulations.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.106-112
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• 2017

In the paper, we propose a levitation and a propulsion controller for the magnetic levitation logistic transportation system. The levitation controller is designed considering the mutual influence of the electromagnets to minimize roll and pitch movements. In order to solve the structural disadvantages of the magnetic levitation transportation system, we improve the problem of the existing controller by applying the exponential filter to the reference input. DSP-based control hardware is developed and the levitation control method is verified by levitation experiments to the air gap goal. The propulsion controller uses the space vector voltage modulation method. The propulsion controller is designed to follow the position and velocity profile by detecting the absolute position from the bar code information attached to the rail. The position control result shows satisfactory performance through the propulsion control reciprocating motion experiment.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.6
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• pp.607-613
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• 2009

In this paper, we made a simple paper feeding system which is one of MTS (media transport system) and controllers. The plant has a flexible paper and two driving rollers and two driven rollers. The control system has two conventional PID controllers. Skew angle and feeding speed of MTS deteriorate the quality of feeding system. In order to control a feeding speed and skew of feeding paper, we control rotational velocity of two driving rollers. Therefore, this controller has two inputs and two outputs as MIMO (multi-input and multi-output) system. The control inputs were the feeding speed and the skew displacement of the paper. The control outputs were the rotational velocity to each driving roller. To find appropriate PID gains of two controllers, we proposed an optimization technique. We assume the system variables and performance of a whole system as follows. PID gains of two controllers for skew and feeding speed are system variables. System performance is both skew and feeding speed. We simulates to making mathematical correlation using global Kriging interpolation. To find appropriate value of system variables, optimization method is simulation in sequence as following method. First, the optimization solver simulates with DOE (design of experiment) tables to find correlation equation of both system variable and performances. Then, the solver guesses the appropriate values and simulates if the system variables are appropriate or not. If the result of validation doesn't satisfy the convergence and iteration tolerance, the solver makes a new Kriging models and iterates this sequence until satisfy the tolerances.

• Proceedings of the KAIS Fall Conference
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• 2011.12b
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• pp.409-412
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• 2011

본 논문에서는 나노 분해능을 가지면서 수mm의 이송능력을 가지는 AFM용 스캐너의 구현을 위하여 새로운 형태의 더블-벤트 유연 가이드를 연구하였다. Castigliano 이론을 이용하여 유연 가이드의 강성을 구하였으며, 모든 과정은 FEA(Finite Element Analysis)를 통하여 이론의 타당성을 검증하였다. 또한, 더블-벤트 유연 가이드의 성능 검증을 위하여 평면 스캐너의 모델링에 응용하여 보았다. 응용된 평면 스캐너의 구성 요소 성분 변수들은 Double-bent 유연 가이드의 나노 분해능 및 이송 변위의 최대화를 구현함과 동시에 빠른 응답 속도를 보장하기 위해 최적화 설계를 통하여 이루어졌다. 더블-벤트 유연 가이드를 적용한 평면 스캐너 역시 FEA를 통한 검증 단계를 거쳤다.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.1
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• pp.57-62
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• 2009

Recently, with the increasing lightness and miniaturization of high resolution camera phones, the demand for aspheric glass lens has increased because plastic and spherical lens are unable to satisfy the required performance. An aspheric glass lens is fabricated by the high temperature and pressure molding using a tungsten carbide molding core, so precision grinding technology for the molding core surface are required. This paper reports a development of feedrate control grinding method for aspherical molding core using parallel grinding method. A plane molding core was ground using conventional and feedrate control grinding method. The performance of the feedrate control method was evaluated by measurement of surface roughness. The result indicated that the average surface roughness was reduced to 1.5 nm, which is more efficient than the conventional grinding method.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.1
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• pp.7-14
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• 2015

To implement an automatic picking system (APS) in distribution center with high precision and high dynamics, this paper presents a high gain observer-based robust speed controller design for a linear induction motor (LIM) drive. The force disturbance as well as the mechanical parameter variations such as the mass and friction coefficient gives a direct influence on the speed control performance of APS. To guarantee a robust control performance, the system uncertainty caused by the force disturbance and mechanical parameter variations is estimated through a high gain disturbance observer and compensated by a feedforward manner. While a time-varying disturbance due to the mass variation can not be effectively compensated by using the conventional disturbance observer, the proposed scheme shows a robust performance in the presence of such uncertainty. A Simulink library has been developed for the LIM model from the state equation. Through comparative simulations based on Matlab - Simulink, it is proved that the proposed scheme has a robust control nature and is most suitable for APS.