• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.396-401
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• 1990

The objective is to explore design concept for MIESF(Modified Integral error and State Feedback) controller. A method is outlined for designing MIESF controller that provides robust performance despite real parameter uncertainties in the process model. Insight into the design process is gained by viewing the MIESF from the perspective of IMC(Internal Model Control).

• Proceedings of the KIEE Conference
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• 2003.10b
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• pp.66-68
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• 2003

This paper is deal with the method of design for the optimum model using genetic algorithms in slotted Permanent Magnet Linear Synchrous Motor (PMLSM). The objective functions are maximum thrust and minimum detent force. Characteristic analysis method is used 2D space harmonic analysis method. Design parameters are PM width, PM height and slot width.

• Proceedings of the KIEE Conference
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• 2004.10a
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• pp.89-91
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• 2004

This paper deals with thrust characteristic by design parameter of linear synchronous reluctance motor(LSynRM). Mover of LSynRM used stator of linear induction machine. Design parameter being teeth width, teeth depth, airgap and displacement, we analyzed thrust characteristic on singleness or complex case. Also, we presented thrust characteristic using finite element method.

• Journal of Electrical Engineering and Technology
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• v.11 no.2
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• pp.377-382
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• 2016

In this paper, influence of vibration on cogging torque and Radial Magnetic Force(RMF) imbalance was investigated in the IPM type BLDC motor. Design of cogging torque reduction and the RMF equilibrium was proceed applied to Design of Experiment(DOE). Vibration test results, the RMF imbalance was confirmed that a significant impact of vibration.

• Proceedings of the KIEE Conference
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• 1999.11c
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• pp.491-493
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• 1999

In this paper, we consider the design of robust pole assignment for linear system. Considered uncertainty is time-varying uncertainty. Based on Lyapunov stability theorem and linear matrix inequality(LMI) we present the design result for pole assignment. Finally, we give some numerical examples to show the applicability and usefulness of our presented results.

• 전기의세계
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• v.19 no.2
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• pp.12-17
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• 1970

In the design of electrical equipment insulation, it is customary to place pressboard and other insulating material at right angle to the electrical discharge path, which is based on the insulation tests performed on equipment under various conditions such as types of insulation, applied voltage and other unique situations. Since electrical equipment manufacturing started only recently, there is a scarcity of available data on insulation problems, which make it difficult for the design engineers. The author untook this study to provide such analytical design data for various conditions based on the experiment conducted on the equipment being manufactured, thus reducing possible errors in the process.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.55-58
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• 1995

An optimum design method of electric machines using neural network is presented. In this method, two multi - layer perceptrons of analysis and design neural network are used in optimizing process. A preliminary model of linear induction motor for subway is designed by the electric and magnetic loading distribution method and then optimized by presented method.

• Proceedings of the KIEE Conference
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• 2002.11d
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• pp.56-60
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• 2002

The paper presents the optimum design of a linear induction motor(LIM) using Genetic algorithm, Neural Network and SUMT. The design variables are optimized by three different optimization methods and the results are discussed.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.567-570
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• 2000

A design method of nonlinear feedback shift registers that can produce maximal-period sequences is given. Such a design is based on one-to-one mappings which are similar to well-known chaotic maps. Some properties of generated binary sequences are investigated and discussed.

• Journal of international Conference on Electrical Machines and Systems
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• v.1 no.3
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• pp.303-311
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• 2012

An innovative interpretation of the per-unit interior permanent magnet (IPM) machine model known as Design Space is presented in this paper. Based on the proposed Design Space formulation, an effective computation method to predict IPM machine performance factors, such as the current and power factor in a full range of speeds, is proposed. A systematic methodology is summarized, which translates the full speed range machine design procedure into the region determination on the so-called Design Space. The effect of dc-link voltage is also analyzed in a similar manner with the current and power factor. A series of IPM motors have been designed, and a preferred motor is selected with the help of the proposed Design Space Methodology (DSM), which has the best tradeoff between the nominal voltage and the dropped voltage condition. Experiment results show that the selected motor satisfies the machine requirements and all the design constrains, such as the current and back-EMF limitations.