• The monthly packaging world
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• s.132
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• pp.160-176
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• 2004

• Fiber Technology and Industry
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• v.5 no.1_2
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• pp.25-34
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• 2001

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.3
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• pp.273-281
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• 2001

In this paper, we propose a CMAC(Cerebellar Model Articulation Controller) neural network for controlling a non-linear system. CMAC is a neural network that models the human cerebellum. CMAC uses a table look-up method to resolve the complex non-linear system instead of numerical calculation method. It is very fast learn compared with other neural networks. It does not need a calculation time to generate control signals. The simulation results show that the proposed CMAC controllers for a simple non-linear function and a DC Motor speed control reduce tracking errors and improve the stability of its learning controllers. The validity of the proposed CMAC controller is also proved by the real-time tension control.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.7
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• pp.1193-1199
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• 2003

Maintaining track tension in tracked vehicles minimizes the excessive load on the tracks and prevents the peal-off of tracks from the road-wheel, and adequately guarantees the stable and improved driving of the tracked vehicles. However, the track tension cannot be easily measured due to the limitation in the sensor technology, harsh environment, etc. In this study, the track tension is estimated in realtime from the measurable signals of tracked vehicles and controlled based on a fuzzy logic controller. The proposed control system is implemented on tracked vehicles and its performance is evaluated under various driving conditions.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.780-785
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• 2003

Maintaining track tension in tracked vehicles minimizes the excessive load on the tracks and prevents the peal-off of tracks from the road-wheel, and adequately guarantees the stable and improved driving of the tracked vehicles. However, the track tension cannot be easily measured due to the limitation in the sensor technology, harsh environment, etc. In this study, the track tension is estimated in real-time from the measurable signals of tracked vehicles and controlled based on a fuzzy logic controller. The proposed control system is implemented on tracked vehicles and its performance is evaluated under various driving conditions.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.2
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• pp.153-159
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• 2000

The cable installed will have catenary's type that is nonlinear and variable time system. Because it has a close relation to the catenary's type to determine command value of tension for the tension control of this cable, we need to study it. The purpose of this study is automated the installation equipment (or a catenary's cable. This study shows control system that the tension of a catenary's cable is keep constant. 'rho control method is adopted the fuzzy control that is robust because the model of a control object is nonlinear and variable time system and feed-forward control to suppress overshoot as a shift begins to move. On the basis of the dynamic modeling of a catenary's cable we compose the control system with adopting fuzzy and feed-forward control has recognized the effectiveness in simulation results.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1901-1905
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• 2005

This Paper describes the mathematical modeling and control of the tension and the speed of moving Bio-wrap in a wrap winding machine. In winding process, important control specifications include the regulation of wrap tension and velocity. In this research, a tension and velocity model has been developed for winding processes. A prototype winding system has been constructed, and the controller has been implemented in a real time PC-based environment. The tension control system is modeled a MIMO of the two-input and four-output system. The performance of the modeled system has been evaluated via simulation using MATLAB and experiments.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.327-331
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• 1997

This paper presents the non-linear modeling and design of a robust sliding mode controller for film transfer systems. The tension of a film is sensitive to the speed difference between a winder and an unwinder. The change of the roll-radius as well as the moment of inertia result in the film transfer system begin variable and non-linear. In designing the robust controller. Two major aims are considered. The first aim is hat the web transferring speed tracks at any given reference speed; the second one is that the tension of the film tracks at any given reference tension. To verify the control algorithm, a Simulink model was built and compared with a conventional PID controller. In a computer simulation study, the suggested robust sliding mode controller shows better performance than the PID controller a various control inputs.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.13 no.5
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• pp.24-29
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• 2004

This paper presents the tension control of a wire-cut discharge machine using electrorheological(E,R) fluid based brake system. On the basis of the tension level required in the machine, an appropriate size of the ER brake which features design simplicity, fast response and salient controllability is designed. Considering the Bingham property of ER fluid and actuator response time, the governing equation of the ER brake is derived. And a tension propagation of wire electrode is modeled via frequency response. The tension control performance of the discharge machine is simulated by using a robust sliding mode controller.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1144-1149
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• 2008

Converting technology has developed to print information for the decades. Recently, this technology (like gravure, gravure-offset) is rising as an alternative way for mass production of printed electronics such as RFID, solar cell. For the width of printing line is under 10 microns, registration error should be minimized less than several microns. Tension disturbance is main cause of registration error and this should be minimized before the substrate is transported into printing zone. With PI controller, it is possible to suppress the disturbance within 2% of operating tension. But register error appears more than 10 micron using PIcontroller considering noise. So LQG controller is needed as an alternative control method. In this paper, the comparision of PI and LQG controller in the converting machine including measured noise and tension disturbance is presented. It is shown that the LQG controller is more suitable for precision tension control in printed electronics.