• Journal of Information Processing Systems
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• 제19권5호
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• pp.563-575
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• 2023

Trajectory planning is a key technology for unmanned aerial vehicles (UAVs) to achieve complex flight missions. In this paper, a terminal constraints conversion-based Gauss pseudospectral trajectory planning optimization method is proposed. Firstly, the UAV trajectory planning mathematical model is established with considering the boundary conditions and dynamic constraints of UAV. Then, a terminal constraint handling strategy is presented to tackle terminal constraints by introducing new penalty parameters so as to improve the performance index. Combined with Gauss-Legendre collocation discretization, the improved Gauss pseudospectral method is given in detail. Finally, simulation tests are carried out on a four-quadrotor UAV model with different terminal constraints to verify the performance of the proposed method. Test studies indicate that the proposed method performances well in handling complex terminal constraints and the improvements are efficient to obtain better performance indexes when compared with the traditional Gauss pseudospectral method.

• KIEE International Transactions on Power Engineering
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• 제5A권4호
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• pp.396-402
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• 2005

In an electricity market with imperfect competition, participants devise bidding plans and transaction strategies to maximize their own profits. The market price and the quantity are concerned with the operation reserve as well as the bidding system and demand curves in an electricity market. This paper presents a market model combined by an energy market and an operating reserve market. The competition of the generation producers in the combined market is formulated as a gaming of selecting bid parameters such as intersections and slopes in bid functions. The Nash Equilibrium (NE) is analyzed by using bi-level optimization; maximization of Social Welfare (SW) and maximization of the producers' profits.

• 대한전기학회논문지:전력기술부문A
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• 제54권4호
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• pp.199-204
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• 2005

In an electricity market with an imperfect competition, participants make plans of bidding and transaction strategies to maximize their own profits. The market price and the quantity are concerned with the operation reserve as well as the bidding system and demand curves in an electricity market. This paper presents a market model combined by an energy market and an operating reserve market. The competition of the generation producers in the combined market is formulated as a gaming of selecting bid parameters such as intersections and slopes in bid functions. The Nash Equilibrium(NE) is analyzed by using a hi-level optimization; maximization of Social Welfare(SW) and maximization of the producers' profits.

• 품질경영학회지
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• 제41권1호
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• pp.109-118
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• 2013

혼합물 성분비와 공정변수들에 관한 실험 자료가 주어진 경우에, 주어진 실험 자료를 잘 설명하는 적절한 결합모형을 찾는 것은 중요한 과제이다. 우선 모형 선택 기준에 부합하는 시작모형의 후보들을 교적모형의 범주에서 찾고, 다음으로 선택된 시작모형을 완전모형으로 간주하여, 모형의 간결성의 원칙에 따라서 완전모형의 부분모형으로 구성된 적절한 결합모형들을 찾는데, 일반적으로 여러 개의 결합모형들이 추천된다. 주어진 실험 자료에 대한 적절한 모형으로 여러 개의 모형이 추천된 경우에, 엔지니어들의 실용적인 관심사는 각각의 결합모형에 대한 반응변수의 기대값의 예측치와 예측치의 표준편차의 추정치를 동시에 최적으로 하는 최적조건의 찾기이다. 이를 위한 실용적인 방법으로 반응변수가 여러 개인 다중 반응표면 분석에서 동시 최적화 기법을 활용한 최적조건을 찾는 방법을 제안하고, 잘 알려진 혼합물성분-공정변수 실험 자료에 대해서 Design Expert 8.0을 활용하여 적절한 결합모형들을 찾고, 이 모형들을 동시에 최적화하는 최적조건 찾기가 예시된다.

• Korean Chemical Engineering Research
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• 제61권3호
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• pp.368-377
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• 2023

천연가스복합발전 공정은 일반 석탄 화력발전 공정에 비해 이산화탄소 배출량이 낮아 최근에 발전 플랜트로서 많은 관심을 받고 있다. 그럼에도 불구하고 이산화탄소 배출을 완전히 억제하기는 어려우므로 이산화탄소 포집공정이 필요하며 본 연구에서는 천연가스복합발전 플랜트에서 발생하는 배기가스 내 낮은 이산화탄소 농도를 고려해 포집공정을 구성하고 운전조건을 최적화하는 연구를 수행하였다. 최적화 연구를 위해 상용 시뮬레이션 프로그램으로 천연가스복합발전 공정과 습식 이산화탄소 포집공정이 결합된 전체 공정을 모델링 하였으며, 이를 이용해 다양한 조건에서 이산화탄소 흡수율, 흡수제 재생율, 천연가스복합발전 공정 내 전력 손실율을 종합적으로 고려한 최적 운전조건을 도출하였다. 특히 본 연구에서는 기존에 이산화탄소 포집공정에서 포집된 이산화탄소 톤당 에너지 소모량만을 주요 지표로 검토하던 것과 달리, 천연가스복합발전 공정 내 스팀 사용으로 인한 발전효율 저감, 운전조건 변화에 따른 이산화탄소 흡수율 및 흡수제 재생율 변화의 측면도 함께 고려하여 공정 전반의 성능을 종합적으로 고려할 수 있도록 하였다. 결론적으로 재생탑 재비기 온도가 120 ℃가 되었을 때 가장 좋은 결과를 보이는 것으로 나타났으며, 그 원인을 분석하였다.

• Journal of Astronomy and Space Sciences
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• 제32권4호
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• pp.379-386
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• 2015

This work presents fuel-optimal altitude maintenance of Low-Earth-Orbit (LEO) spacecrafts experiencing non-negligible air drag and J2 perturbation. A pseudospectral (direct) method is first applied to roughly estimate an optimal fuel consumption strategy, which is employed as an initial guess to precisely determine itself. Based on the physical specifications of KOrea Multi-Purpose SATellite-2 (KOMPSAT-2), a Korean artificial satellite, numerical simulations show that a satellite ascends with full thrust at the early stage of the maneuver period and then descends with null thrust. While the thrust profile is presumably bang-off, it is difficult to precisely determine the switching time by using a pseudospectral method only. This is expected, since the optimal switching epoch does not coincide with one of the collocation points prescribed by the pseudospectral method, in general. As an attempt to precisely determine the switching time and the associated optimal thrust history, a shooting (indirect) method is then employed with the initial guess being obtained through the pseudospectral method. This hybrid process allows the determination of the optimal fuel consumption for LEO spacecrafts and their thrust profiles efficiently and precisely.

• Structural Engineering and Mechanics
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• 제46권5호
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• pp.735-753
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• 2013

The wind load is always the dominant load of cooling tower due to its large size, complex geometry and thin-wall structure. At present, when computing the wind-induced response of the large-scale cooling tower, the wind pressure distribution is obtained based on code regulations, wind tunnel test or computational fluid dynamic (CFD) analysis, and then is imposed on the tower structure. However, such method fails to consider the change of the wind load with the deformation of cooling tower, which may result in error of the wind load. In this paper, the analysis of the large cooling tower based on the iterative method for wind pressure is studied, in which the advantages of CFD and finite element method (FEM) are combined in order to improve the accuracy. The comparative study of the results obtained from the code regulations and iterative method is conducted. The results show that with the increase of the mean wind speed, the difference between the methods becomes bigger. On the other hand, based on the design of experiment (DOE), an approximate model is built for the optimal design of the large-scale cooling tower by a two-level optimization strategy, which makes use of code-based design method and the proposed iterative method. The results of the numerical example demonstrate the feasibility and efficiency of the proposed method.

• 한국정밀공학회지
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• 제14권12호
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• pp.24-29
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• 1997

Recently, Genetic Algorithm(GA), which is a stochastic direct search strategy that mimics the process of genetic evolution, is widely adapted into a search procedure for structural optimization. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA is very simple in their algorithms and there is no need of continuity of functions(or functionals) any more in GA. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher porbability of convergence to global optimum compared to traditional techniques which take one-point search method. The methods consist of three genetics opera- tions named selection, crossover and mutation. In this study, a method of finding the omtimum size and topology of drilling machine is proposed by using the GA, For rapid converge to optimum, elitist survival model,roulette wheel selection with limited candidates, and multi-point shuffle cross-over method are adapted. And pseudo object function, which is the combined form of object function and penalty function, is used to include constraints into fitness function. GA shows good results of weight reducing effect and convergency in optimal design of drilling machine.

• 대한전자공학회논문지SD
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• 제46권9호
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• pp.25-32
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• 2009

최근 네트워크-온-칩(Network-on-chip)에 대한 연구가 활발히 진행되고 있는 가운데 반도체 칩 복잡도 증가와 고성능에 대한 요구로 인해 기존 구리 기반의 상호연결(Copper-based interconnects)을 사용할 경우 성능, 전력, 대역폭 등에 대한 설계 한계에 곧 직면할 것으로 보인다. 이 문제에 대한 대안으로 전기적인 상호연결(Electrical Interconnects, EIs)과 광학적 상호연결(Optical Interconnects, OIs)을 상호 보완적으로 사용하는 방법이 제안되고 있다. 이러한 연구 방향의 일환으로, 본 논문에서 광학적 상호연결은 지연 시간을 감안하여 임계 경로에, 전기적인 상호연결은 비 임계 경로에 적용하며, 두 상호연결을 혼용하여 사용하기 위한 효율적인 하이브리드 스위치 구조와 라우팅 최적화 방법을 제안한다. 모의실험 결과 제안한 알고리즘과 구조를 적용할 경우 전기적인 상호연결만을 사용 할 경우보다 최대 25%의 속도 향상과 38%의 소비 전력 감소를 나타냈다.

• Journal of Power Electronics
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• 제10권4호
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• pp.419-427
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• 2010

A parallel control strategy in capacity proportion frequency allocation mode for shunt active power filters (APFs) is proposed to overcome some of the difficulties in high power applications. To improve the compensation accuracy and overall system stability, an improved selective harmonic current control based on multiple synchronous rotating reference coordinates is presented in a single APF unit, which approximately implements zero steady-state error compensation. The combined decoupling strategy is proposed and theoretically analyzed to simplify selective harmonic current control. Improved selective harmonic current control forms the basis for multi-APF parallel operation. Therefore, a parallel control strategy is proposed to realize a proper optimization so that the APFs with a larger capacity compensate more harmonic current and the ones with a smaller capacity compensate less harmonic current, which is very practical for accurate harmonic current compensation and stable grid operation in high power applications. This is verified by experimental results. The total harmonic distortion (THD) is reduced from 29% to 2.7% for a typical uncontrolled rectifier load with a resistor and an inductor in a laboratory platform.