• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.1-10
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• 1990

FMS is the system which improves the productivity by making production lines flexible. FMS is composed of manufacturing system, material handling system, and software to control them. FMS is a complicate system; therefore, computer is required to control FMS efficiently. In this paper the concepts of FMS are shortly reviewed and the computer software and programming strategy to control FMS are presented.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.675-677
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• 1998

In this paper, a development of the control system for the milling machine which is used to cut teeth of the automibile keys is presented as an example of the industry-university cooperation. The machine is controlled by a computer and a PLC. The control of the servo motors are accomplished by the computer and mechanical sequences are by PLC. This machine is capable of cutting key teeth up to the accuracy of 10 microns.

• International Journal of Control, Automation, and Systems
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• v.2 no.1
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• pp.83-91
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• 2004

The purpose of this paper is to obtain an accurate nonlinear system model to test various control schemes for a motion control system that requires high speed, robustness and accuracy. An industrial sewing machine equipped with a Brushless DC motor is considered. It is modeled by a neural network that is configured as an output-error dynamical system. The identified model is essentially a one step ahead prediction structure in which past inputs and outputs are used to calculate the current output. Using the model, a 2 degree-of-freedom PID controller to compensate the effects of disturbance without degrading tracking performance has been de-signed. In this experiment, it is not preferable for safety reasons to tune the controller online on the actual machinery. Experimental results confirm that the model is a good approximation of sewing machine dynamics and that the proposed control methodology is effective.

• Journal of Electrical Engineering and Technology
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• v.12 no.1
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• pp.134-144
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• 2017

This paper presents an adaptive control strategy for the speed control of a four-phase switched reluctance motor (SRM) in automotive applications. The main objective is to minimize the torque ripples, despite the unstructured uncertainties, time-varying parameters and external load disturbances. The bound of perturbations is not required to be known in the developing of the proposed adaptive-based control method. In order to achieve a smooth control effort, some properties are incorporated and the proposed control algorithm is constructed using the Lyapunov theorem where the closed-loop stability and robust tracking are ensured. The effectiveness of the proposed controller in rejecting high perturbed load torque with smooth control effort is verified with comparing of an adaptive sliding mode control (ASMC) and validated with experimental results.

• Journal of the Semiconductor & Display Technology
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• v.14 no.4
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• pp.67-71
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• 2015

Product of technology developed in this study is an external interface for controlling the equipment of pendant key remote control system circuit board, and it is used in the electronic component test equipment system. Main control system module is in the role as a device for controlling the various control devices that make up the integrated system for microscopic examination at the request of the host computer engineers to control the inspection equipment. The pentane-key interface module to its role as a device for controlling the various control devices that make up the integrated system for microscopic examination at the request of the host computer for the engineer to control the inspection equipment. Development of the control system can be expected in the configuration of a system for efficient and accurate inspection of high-precision parts.

• Journal of Electrical Engineering and Technology
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• v.10 no.1
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• pp.118-127
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• 2015

This paper presents an advanced torque ripple minimization method of a switched reluctance motor (SRM) using torque sharing function (TSF). Generally, TSF is applied into the torque control. However, the conventional TSF cannot follow the expected torque well because of the nonlinear characteristics of the SRM. Moreover, the tail current that is generated at a high speed motor drive makes unexpected torque ripples. The proposed method combined TSF with fuzzy logic control (FLC). The advantage of this method is that the torque can be controlled unity at any conditions. In addition, the controller can track the torque under the condition of the wrong TSF. The effectiveness of the proposed algorithm is verified by the simulations and experiments.

• Journal of the Korean Home Economics Association
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• v.27 no.3
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• pp.61-69
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• 1989

This study was carried out to develop a computerized menu planning for athletes who need weight control. The outine of the computer lprogram for menu planing that was developed in this study are as follows: First of all, the athlete's weight to be lost/controlled, age, sex and quantity of daily activity were put into the computer. When an individual file was formed, an ordered menu formulated to control the necessary quantity of nutrients were sufficient. The software is planned according to the sturcture of the menu which can be chosen at random. Also, it was made possible to change the menu according to one's preference. Therefore, this was similar to the manmachine system which is desirable form in using the computer. The developed software could be used not only for athletes but also for a nutrition councelling program for those who need weight control.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.907-910
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• 1993

This paper describes the use of fuzzy control and decision making to simulate the control of traffic flow at an intersection. To show the value of fuzzy logic as an alternative method for control of traffic environments. A traffic environment includes the lanes to and from an intersection, the intersection, vehicle traffic, and signal lights in the intersection. To test the fuzzy logic controller, a computer simulation was constructed to model a traffic environment. A typical cross intersection was chosen for the traffic environment, and the performance of the fuzzy logic controller was compared with the performance of two different types of conventional control. In the hardware verifications, fuzzy logic was used to control acceleration of a model train on a circular path. For the software experiment, the fuzzy logic controller proved better than conventional control methods, especially in the case of highly uneven traffic flow between different directions. On the hardware si e of the research, the fuzzy acceleration control system showed a marked improvement in smoothness of ride over crisp control.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.45 no.5
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• pp.401-408
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• 2017

This paper describes development and validation processes of a low-cost hardware based flight control computer designed for multi-rotor UAVs. The developed flight control computer controls multi-rotors stable and can handle complex flight missions using an integrated high-performance Linux computer. A complementary filter generates a navigation solution with 500 Hz, and a proposed observer significantly reduces measurement noise. A control algorithm utilizes a feed-forward term computed by a three-dimensional curve fitting method, and it increases tracking performance. The developed flight control system has been fully tested through several test flights, and it can apply to real flight environments.

• The Transactions of the Korean Institute of Power Electronics
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• v.27 no.3
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• pp.228-236
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• 2022

The charging methods of electric vehicles are divided into wired charging and wireless charging. Restrictions on the use of charging infrastructure for wireless charging vehicles currently exist because most charging infrastructure uses the wired charging method. Thus, wired and wireless integrated charging system has been studied. In this system, a wireless charging system especially requires a control method for high-efficiency operation in consideration of a change in a coupling coefficient. Therefore, this paper introduces two control methods for the high-efficiency operation of wireless charging that can be applied to wired and wireless integrated charging systems. In addition, loss analysis is performed through PSIM simulation to select a more advantageous method for high-efficiency operation among the two control methods. To verify the simulation-based loss analysis result, the two control methods are applied to the actual wireless charging system, and the efficiency is compared through the experiments Based on the experimental results, a control method suitable for high-efficiency operation of the wireless charging method is selected.