• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.433-436
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• 2009

본 연구에서는 준능동 TMD(STMD)가 설치된 초고층건물의 풍응답을 효과적으로 저감시키기 위한 퍼지 하이브리드제어기법을 제안하였다. 이를 위하여 STMD의 응답저감에 우수한 성능을 보이는 스카이훅(skyhook) 제어기와 구조물의 응답저감에 뛰어난 그라운드훅(groundhook) 제어알고리즘을 사용하였다. 본 연구에서는 두 제어기를 적절히 조합하기 위하여 최적의 가중치를 실시간으로 결정하는 퍼지 하이브리드제어기를 개발함으로써 일반적인 가중합방식의 하이브리드 제어기법의 성능을 개선하였다. 제안된 제어기의 성능을 검토하기 위하여 풍하중을 받는 76층 사무소 건물을 예제구조물로 사용하였다. MR 감쇠기를 이용하여 STMD를 구성하였고 STMD의 제어성능을 평가하기 위하여 TMD 및 ATMD의 성능과 비교하였다. 수치해석을 통하여 STMD의 제어성능이 TMD에 비하여 월등히 뛰어남을 확인할 수 있었다. 또한 퍼지 하이브리드 제어기법을 사용하면 스카이훅 및 그라운드훅 제어기를 효과적으로 조합하여 STMD와 건물의 응답을 동시에 줄일 수 있음을 확인하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.1
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• pp.11-19
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• 2005

In order to improve dynamic stall characteristics of an oscillating airfoil, optimal design has been performed for fixed nose droop and Gurney flap. Fixed nose droop is known to be very effective to improve pitching moment characteristics but may cause degeneration of aerodynamic lift at the same time. On the other hand, Gurney flap has the opposite characteristics. For fixed nose droop, location and angle are chosen as design variables, while length is defined as design variable for Gurney flap. Higher order response surface methodology and sensitivity based optimal design method are employed to handle highly nonlinear problem such as dynamic stall. Optimal design has been performed so that lift and pitching moment are simultaneously improved. The design results show that aerodynamic characteristics can be remarkably improved through present design approach and the present passive control method is as good as active control method which combines variable nose droop and Gurney flap.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.10
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• pp.51-57
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• 2016

In this paper, we propose an optimal energy management system using the data inference scheme and the cloud hosting technique in order to improve the efficiency of the energy management. We have been interested in the issue that the energy-saving and efficient management techniques are very useful for reducing the production and supply of energy. The energy management system refers to the control and management system in order to enable the efficient use of energy and also to maintain a comfortable and functional working environment effectively with the help of a computer. The proposed system controls a variety of equipment for energy management, and also gets the data for the inference from the changes in energy consumption environment, which is implemented to enable efficient energy management by adapting and controlling the changes optimally in the working environment. In order to evaluate the performance of the implemented system, some experiments have been performed under consideration of the monthly electric power consumption on the server that the inference engine is operating for the target facilities. Finally, the results show that the proposed system has a good performance.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.8
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• pp.50-57
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• 2003

Controlling rotorcraft to fly precisely through multiple, irregularly, and closely spaced waypoints is a common and practical mission. However, finding an optimal trajectory for this kind of mission is quite challenging. Usability of traditional approaches such as inverse control or direct methods to this kind of problem is limited because of either limitation on the specification of the constraints or requirement of extensive computation time. This paper proposes a method that can easily compute the full trajectory and control history for rotorcraft to pass through waypoints while satisfying other general constraints of states such as velocities and attitudes on each waypoint. The proposed method is applied to rotorcraft guidance problems of slalom and linear trajectory in the middle of general curved trajectory. The algorithm is test for various situations and demonstrates its usability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.6
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• pp.1060-1064
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• 2006

Data collected by sensors in field are transmitted to the base station gathering all of data. Because sensors have to gather data in surroundings and periodically transmit data to the base station, it makes energy consumed much. In this paper, we mose the scheme that is to avoid traffic congestion with achievement of energy efficiency, so collected data is transmitted efficiently. This is to adjust transmission rate differently in case of increasing or decreasing traffic and minimize the energy consumption with setting ideal options up basic CSMA(Carrier Sense Multiple Access) protocol in each sensor. Through the simulation, we find the ideal CSMA options and apply the proposed scheme of traffic control mechanism to them and analyze them, then show energy efficiency and effective traffic control mechanism.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.350-350
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• 2023

SCE-UA(Shuffled Complex Evolution-University Arizona)기법은 최적해 탐색 알고리즘으로 개념적 강우유출 모형(conceptual rainfall runoff model)의 보정을 위한 도구로 개발되었다. SCE-UA기법은 메타휴리스틱 방법의 일종으로 최적해를 구하기 위하여 여러번 목적함수 값을 계산해야 한다. 이 때 목적함수 계산 횟수와 해의 수렴과 관련된 제어 매개변수가 존재하며, 사용자가 적절한 값을 입력해주어야 한다. 이 연구에서는 SCE-UA와 관련된 제어 매개변수의 기능에 대해서 검토하였다. 그리고 집합체 수의 변화에 따라서 검사함수인 Ackley function의 전역해를 얼마나 잘 탐색하는지 검토하였다. 검토 결과 랜덤 시드에 따라서 전역해 탐색 결과가 달라졌으며, 집합체의 수가 증가할수록 목적함수 계산 횟수는 증가하는 경향을 나타내었다. 검사함수의 차원(결정 변수의 수)이 증가하면 전역해의 탐색률이 감소하며, 집합체의 수가 많아지면 전역해를 더 잘 찾는 경향이 나타나지만, 목적함수 계산 횟수는 더 많아지게 되는 것을 확인할 수 있었다. 2차원인 경우 집합체의 수가 7개 이상일 때 탐색 성공률은 90% 이상이 되었지만, 10차원인 경우 집합체의 수가 시험 최대값인 20개일 때의 전역해 탐색률은 37%에 그쳤다. 이 연구의 결과는 SCE-UA 기법의 설정 매개변수에 관한 기본 개념을 이해하고, 사용자가 설정 매개변수 선정 시에 활용할 수 있을 것이다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.6
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• pp.440-447
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• 2013

In this paper, a higher harmonic control (HHC) methodology is applied to find the optimum input scenario for the vibratory hub loads reduction. A comprehensive aeroelastic analysis code, CAMRAD II, is used to model the HART (Higher-harmonic-control Aeroacoustic Rotor Test) II rotor, and parametric study is conducted for the best HHC inputs leading to a minimum vibration (MV) condition. The resulting outcomes are compared with the earlier HART II test results. It is indicated that the control input adopted in the MV condition showed less satisfactory results. The new MV condition obtained in the present investigation can achieve 45% lower vibration level than the baseline uncontrolled condition. The optimum HHC input results lead to 3/rev harmonic input having $0.8^{\circ}$ amplitude and $350^{\circ}$ phase angle. About 5% reduction in the required power is possible but accompanies with the increase of vibration level.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.323-326
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• 2003

본 논문에서는 PID 제어기를 이용해 외란제거를 함은 물론 최적 제어가 될 수 있는 파라메터를 유전자 알고리즘을 통해 구하는 방법을 제안하였다. 외란제거를 위해 $H_\infty$-norm을 응용하여 제어시스템의 외란 제거 조건들을 제시하고 이 조건들을 만족하는 PID 제어기를 설계하였다. 설계된 PID제어기의 최적 파라메터를 구하기 위해 유전자 알고리즘을 이용하였고 최적 파라메터를 평가하기 위하여 ITSE(Integral of time weighted squared error)성능지수를 이용하였다. 위의 설계 기법들을 서보모터의 제어에 적용하여 만족할 만한 결과를 얻었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.348-353
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• 2013

Recently, control theory including stochastic optimal control and various machine-learning-based artificial intelligence methods have become major tools in the field of financial engineering. In this paper, we briefly review some recent papers utilizing stochastic optimal control theory in the fields of the pair trading for mean-reverting markets and the trend-following strategy, and consider a couple of strategies utilizing both stochastic optimal control theory and machine learning methods to acquire more flexible and accessible tools. Illustrative simulations show that the considered strategies can yield encouraging results when applied to a set of real financial market data.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.455-458
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• 2003

An optimal control approach to robust control design is proposed in this study for rigid robotic systems under the unknown load and the other uncertainties. The uncertainties are quadratically bounded for some positive definite matrix. Iterative method to find the matrix is shown. Simulations arc made for a weight-lifting operation of a two-link manipulator and the robust control performance of robotic systems by the proposed algorithm is remarkable.