• 대한조선학회지
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• 제24권4호
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• pp.45-52
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• 1987

In this paper, merits and demerits of Nelder and Mead Penalty Function Method(SUMTNM) and Flexible Tolerance Method(FTM) are investigated from the standpoint of generality, accuracy and efficiency. SUMTNM is combined with Nelder and Method and SUMT, but FTM improves the values of the objective function by using information provided by feasible points as well as certain nonfeasible points termed near-feasible points. Therefore, FTM uses more information than SUMTNM for minimizing object function. The structural analysis of a vertically corrugated bulkhead is performed by collapse mechanism and plate buckling analysis. Based on the results of this analysis, minimum structural weight design of a corrugated bulkhead by use of above two optimization techniques is carried out by investigating the effects of sizes of bulkhead on the structural weight.

• 한국신뢰성학회지:신뢰성응용연구
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• 제18권3호
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• pp.229-239
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• 2018

Purpose: There is a difficulty in Environmental Stress Screening (ESS) test design for weapon system's electrical/electronic components/products in small and medium-sized enterprises. To overcome this difficulty, I propose an easy ESS test design approach algorithm that is optimized with only one environment tolerance design information parameter (${\Delta}T$). Methods: To propose the mass production weapon system ESS test design for cost-effective optimization, I define an optimum cost-effective mathematical model ESS test algorithm model based on modified MIL-HDBK-344, MIL-HDBK-2164 and DTIC Technical Report 2477. Results: I clearly confirmed and obtained the quantitative data of ESS effectiveness and cost optimization along our ESS test design algorithm through the practical case. I will expect that proposed ESS test method is used for ESS process improvement activity and cost cutting of mass production weapon system manufacturing cost in small and medium-sized enterprises. Conclusion: In order to compare the effectiveness of the proposed algorithm, I compared the effectiveness of the existing ESS test and the proposed algorithm ESS test based on the existing weapon system circuit card assembly for signal processing. As a result of the comparison, it was confirmed that the test time was reduced from 573.0 minutes to 517.2minutes (9.74% less than existing test time).

• 전자공학회논문지D
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• 제36D권7호
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• pp.80-91
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• 1999

흡수 회절결자를 가지는 복소결합 다중양자우물 구조의 DFB 레이저가 작은 문턱이득, 좋은 변조 특성 그리고 작은 선폭계수를 보이며 또한 큰 제작 공차를 가지는 최적의 복소 회절격자 구조를 보였다. 이러한 구조를 찾기 위해 확장된 새로운 층 방법을 사용하여 복소 결합계수와 복소결합계수비를 계산하였으며 흡수 회절격자 층에서의 모달 손실을 포함하는 문턱이득을 직각사각형과 사다리꼴 회절격자에 대하여 계산하였다. 제안된 여러 구조에 대한 계산 결과의 비교를 통하여 작은 문턱이득과 큰 제작 공차를 얻기 위한 설계 지침을 얻었다. 제안된 여러 구조 중에서 이중 회절격자 층 방법을 이용한 구조중 흡수 회절격자가 윗층에 있는 구조가 복소 결합계수의 크기와 문턱이득에 대한 제작 공차가 가장 컸다. 복소결합계수비에 대한 제작 공차는 모든 구조에서 매우 큰 값을 가지고 있어 회절격자 설계시 중요한 고려 대상이 아님을 볼 수 있었다.

• Journal of Mechanical Science and Technology
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• 제19권3호
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• pp.731-742
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• 2005

A magnetic bearing even with multiple coil failure can produce the same decoupled magnetic forces as those before failure if the remaining coil currents are properly redistributed. This fault-tolerant, force invariance control can be achieved with simply replacing the distribution matrix with the appropriate one shortly after coils fail, without modifying feedback control law. The distribution gain matrix that satisfies the necessary constraint conditions of decoupling linearized magnetic forces is determined with the Lagrange Multiplier optimization method.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 춘계학술대회논문집
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• pp.826-830
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• 2004

Fault tolerant control method for 6-pole homopolar magnetic bearings are presented. If some of the coils or power amplifiers suddenly fail, the remaining coil currents change via a novel distribution matrix such that the same magnetic forces are maintained before and after failure. Lagrange multiplier optimization with equality constraints is utilized to calculate the optimal distribution matrix that maximizes the load capacity of the failed bearing. Some numerical examples of distribution matrices are provided to illustrate this control method.

• 제어로봇시스템학회지
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• 제10권3호
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• pp.21-26
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• 2004

Structured singular value (SSV)는 robust stability와 robust performance를 매우 엄밀하게 다루기 위해 고안되었다 (Doyle, 1982; Safonov, 1982). 이 엄밀성으로 제어시스템의 설계 및 분석에 광범위하게 사용되고 있다. 강건제어의 단초를 이루었으며 loop failure tolerance, decentralized integral controllability (Campo and Morari. 1994), D-stability (Lee and Edgar, 2001) 등에 SSY가 사용되고 있다. SSV의 중요성이 알려짐에 따라 이것에 관한 많은 연구가 있었다(Fan et at., 1991 ; Pacltard and Pander, 1993), 그러나 이 값의 계산은 매우 어려운 NP-hard인 것으로 판명되었으며 (Braatz et al.. 1994). 실수 불확실 변수에 대한 SSV의 경우 원하는 오차범위 내로 근사 값을 구하는 것도 마찬가지 인 것으로 밝혀졌다(Fu, 1997).(중략)

• 한국지능시스템학회논문지
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• 제11권4호
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• pp.340-346
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• 2001

본 논문은 GBAM (general bidirectional associative memory) 모델을 위한 새로운 설계방법을 제시한다. GBAM 모델에 대한 이론적 고찰을 바탕으로, GBAM 기방 양방향 연상 메모리의 설계 문제가 GEVP (generalized eigenvalue problem)로 불리는 최적화 문제로 표현될 수 있음을 밝힌다. 설계 과정에서 등장하는 GEVP 문제들은 최근에 개발된 내부점 방법에 의하여 주어진 허용 오차 이내에서 효과적으로 풀릴 수 있으므로, 본 논문에서 확립된 설계 절차는 매우 실용적이다. 제안된 설계 절차에 대한 적용 가능성은 관련 연구에서 고려되었던 간단한 설계 예제를 통하여 예시된다.

• 대한전기학회논문지
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• 제37권6호
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• pp.350-360
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• 1988

As the capacity of DC motor is increased, we should recheck several encountered problems like volume increase. Particularly, when a large DC motor should be installed within the limited space, it is necessary to minimize the volume of motor for the effective utilization of the limited space. This paper describes the procedure and the method of finding optimum design of a large DC motor. The result of the optimization will decide the basic dimensions of a large DC motor. The flexible tolerance method and polyhedron searching method are used in this optimization. This result of simulation of the existing large DC motors is compared with the data of the existing large DC motors to confirm the validity of this optimum design.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권3호
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• pp.976-995
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• 2016

Workflow scheduling is one of the challenging problems in cloud computing, especially when service reliability is considered. To improve cloud service reliability, fault tolerance techniques such as fault recovery can be employed. Practically, fault recovery has impact on the performance of workflow scheduling. Such impact deserves detailed research. Only few research works on workflow scheduling consider fault recovery and its impact. In this paper, we investigate the problem of workflow scheduling in clouds, considering the probability that cloud resources may fail during execution. We formulate this problem as a multi-objective optimization model. The first optimization objective is to minimize the overall completion time and the second one is to minimize the overall execution cost. Based on the proposed optimization model, we develop a heuristic-based algorithm called Min-min based time and cost tradeoff (MTCT). We perform extensive simulations with four different real world scientific workflows to verify the validity of the proposed model and evaluate the performance of our algorithm. The results show that, as expected, fault recovery has significant impact on the two performance criteria, and the proposed MTCT algorithm is useful for real life workflow scheduling when both of the two optimization objectives are considered.

• 대한기계학회논문집A
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• 제21권1호
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• pp.112-123
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• 1997

The optimization techniques have been applied to versatile engineering problems for reducing manufacturing cost and for automatic design. The deterministic approaches or op5imization neglect the effects on uncertainties of design variables. The uncertainties include variation or perturbation such as tolerance band. The optimum may be useless when the constraints considering worst cases of design variables can not be satisfied, which results from constraint variation. The variation of design variables can also give rise to drastic change of performances. The two issues are related to constraint feasibility and insensitive performance. Robust design suggested in the present study is developed to gain an optimum insensitive to variation on design variables within feasible region. The multiobjective function is composed to the mean and the standard deviation of original objective function, while the constraints are supplemented by adding penalty term to original constraints. This method has a advantage that the second derivatives of the constraints are not required. A mathematical problem and several standard problems for structural optimization are solved to check out the usefulness of the suggested method.