• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 추계학술대회 논문집(제1권)
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• pp.399-404
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• 2006

컨테이너 크레인은 항만전체 하역 효율에 큰 영향을 미치는 하역 장비로서 그동안 컨테이너 크레인의 작업효율을 높이는 연구가 진행되어 왔다. 특히 화물이 목표치에 도달했을 때 흔들림을 단시간에 제어하는 데 초점이 맞추어져 왔다. 일반적으로 컨테이너 크레인을 제어하기 위해서 PID제어나 LQ제어가 주로 사용되었는데, 이는 제어기 설계가 용이하고, 주어진 제어 환경 하에서 우수한 제어성능을 발휘하기 때문이다. 본 연구에서는 LQ 제어의 관점에서 실수코딩 유전알고리즘을 이용한 상태 피드백 제어기의 설계 방법을 제안한다. 즉, 실수코딩 유전알고리즘을 이용하여 상태 피드백 이득을 탐색하는 방법이다. 실수코딩 유전알고리즘은 주어진 목적함수를 최소가 되도록 상태 피드백 이득을 최적으로 탐색한다. 컴퓨터 시뮬레이션은 이렇게 탐색한 상태 피드백 이득을 컨테이너 크레인의 선형 및 비선형 모델에 적용하여 그 유효성을 확인한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 춘계학술대회 및 창립 30주년 심포지엄(논문집)
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• pp.325-330
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• 2006

시간지연을 갖는 적분시스템은 공정제어 중에서 레벨제어 문제에 해당되는 프로세스이다. 본 논문에서는 이 적분 시스템에 대한 PID 제어기의 최적 동조 규칙을 제안한다. 우선 PID 제어기 파라미터를 IAE, ISE, ITSE의 성능지수의 합이 최소가 되도록 RCGA를 이용하여 최적화한다. 다음으로 이로부터 또 다른 RCGA를 사용하여 일반화된 PID 제어기의 동조규칙을 유도한다. PID 제어기는 추종제어용과 외란억제용 두 가지로 구분하였으며, 시뮬레이션을 통해 기존의 방법과 비교하여 제안한 방법의 유효성을 검토한다.

• 한국항해항만학회지
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• 제35권3호
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• pp.227-233
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• 2011

본 연구는 선박용 Night Vision 시스템을 개발하기 위한 선행연구로 2축 지그와 이를 구동할 수 있는 PCU 보드를 제작하고, 추종 및 안정화 제어루틴을 얻는 문제를 다룬다. 개발한 지그와 PCU 보드를 6DOF 모션 시뮬레이터와 결합하여 실험환경을 구축하고 RCGA를 이용하여 지그 모델의 파라미터를 얻고, 추정된 모델과 RCGA를 이용하여 2DOF PID 제어기를 동조한다. 실험과 시뮬레이션을 통해 제안하는 2자유도 PID 제어기의 유효성을 검토한다.

• Structural Engineering and Mechanics
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• 제61권2호
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• pp.283-293
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• 2017

The main contribution of the present paper is to propose an intelligent fuzzy inference system approach for modeling the debonding strength of masonry elements retrofitted with Fiber Reinforced Polymer (FRP). To achieve this, the hybrid of meta-heuristic optimization methods and adaptive-network-based fuzzy inference system (ANFIS) is implemented. In this study, particle swarm optimization with passive congregation (PSOPC) and real coded genetic algorithm (RCGA) are used to determine the best parameters of ANFIS from which better bond strength models in terms of modeling accuracy can be generated. To evaluate the accuracy of the proposed PSOPC-ANFIS and RCGA-ANFIS approaches, the numerical results are compared based on a database from laboratory testing results of 109 sub-assemblages. The statistical evaluation results demonstrate that PSOPC-ANFIS in comparison with ANFIS-RCGA considerably enhances the accuracy of the ANFIS approach. Furthermore, the comparison between the proposed approaches and other soft computing methods indicate that the approaches can effectively predict the debonding strength and that their modeling results outperform those based on the other methods.

• Journal of Advanced Marine Engineering and Technology
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• 제32권6호
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• pp.974-980
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• 2008

Generally. most of the physical systems affected by disturbance or incomplete knowledge are complex and highly nonlinear. To control under these circumstances. many researches are ongoing in modern control theory recently. But the researches need apparatuses. which can verify the controller for being not damaged the real plant. In this paper. therefore. a seesaw system is considered control system to analyze and apply the control theory. A seesaw system consists of a moving cart on the rail and seesaw frame made to demonstrate the effectiveness of the control theory. The system has balancing and positioning problems. and the driving force is applied on the DC motor of cart. but not on the pivot. The purpose of control is to maintain an equilibrium of seesaw frame in spite of an allowable disturbance. Computer simulations are given to illustrate the control performance of the proposed scheme.

• Journal of Advanced Marine Engineering and Technology
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• 제39권10호
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• pp.1031-1036
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• 2015

Proportional-integral-derivative (PID) controllers are widely used in industrial sites. Most tuning methods for PID controllers use an empirical and experimental approach; thus, the experience and intuition of a designer greatly affect the tuning of the controller. The representative methods include the closed-loop tuning method of Ziegler-Nichols (Z-N), the C-C tuning method, and the Internal Model Control tuning method. There has been considerable research on the tuning of PID controllers for single-input single-output systems but very little for multi-input multi-output systems. It is more difficult to design PID controllers for multi-input multi-output systems than for single-input single-output systems because there are interactive control loops that affect each other. This paper presents a tuning method for the PID controller for a two-input two-output system. The proposed method uses a real-coded genetic algorithm (RCGA) as an optimization tool, which optimizes the PID controller parameters for minimizing the given objective function. Three types of objective functions are selected for the RCGA, and each PID controller parameter is determined accordingly. The performance of the proposed method is compared with that of the Z-N method, and the validity of the proposed method is examined.

• Journal of Advanced Marine Engineering and Technology
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• 제29권1호
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• pp.116-123
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• 2005

The PID controllers have been widely accepted in many industrial systems due to their robust performance in a wide range of operating conditions and their functional simplicity To implement a PID controller, its three parameters must be determined for the given plant. Conventional tuning methods are mainly based on experience and experiment and are lack of systematic procedure Recently. to overcome drawbacks of conventional tuning methods, genetic algorithms have been used, In this paper a real-coded genetic algorithm is employed to search for the optimal parameters of the PID controller for speed control of marine gas turbine engines. Simulation results show the effectiveness of the proposed scheme.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2004년도 춘계학술대회 논문집
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• pp.241-246
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• 2004

This paper proposed trajectory tracking control of mobile robot. Trajectory tracking control scheme are real coding genetic-algorithm and back-propergation algorithm. Control scheme ability experience proposed simulation. Stable tracking control problem of mobile robots have been studied in recent years. These studios have guaranteed stability of controller, but the performance of transient state has not been guaranteed. In some situations, constant gain controller shows overshoots and oscillations. So we introduce better control scheme using Real coding Genetic Algorithm(RCGA) and neural network. Using RCGA, we can find proper gains in several situations and these gains are generalized by neural network. The generalization power of neural network will give proper gain in untrained situation. Performance of proposed controller will verify numerical simulations and the results show better performance than constant gain controller.

• 한국공작기계학회논문집
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• 제13권3호
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• pp.126-132
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• 2004

This paper proposed trajectory tracking control based on genetic algorithm. Trajectory tracking control scheme are real coding genetic algorithm(RCGA) and back-propagation algorithm(BPA). Control scheme ability experience proposed simulation. Stable tracking control problem of mobile robots have been studied in recent years. These studies have guaranteed stability of controller, but the performance of transient state has not been guaranteed. In some situations, constant gain controller shows overshoots and oscillations. So we introduce better control scheme using real coding genetic algorithm and neural network. Using RCGA, we can find proper gains in several situations and these gains are generalized by neural network. The generalization power of neural network will give proper gain in untrained situation. Performance of proposed controller will verity numerical simulations and the results show better performance than constant gain controller.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2007년도 추계학술대회 및 제23회 정기총회
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• pp.63-64
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• 2007

대양 항행하는 거의 모든 선박에서 항해사를 도와 선박의 회두각 유지 및 변침을 목적으로 사용되는 일반적인 오토파일럿 시스템용 대부분 PID형 제어기가 장착되어 있다. 오토파일럿 시스템의 제어상수는 운항 경제성 관점에서 선박의 추진 에너지 손실량(연료소비량)으로써 평가해야 한다. 본 논문에서는 선박 자동 조타 시스템의 정량적인 평가함수를 바탕으로 추진 에너지 손실량이 최소가 되도록 오토파일럿의 제어상수를 구하고자 한다. 이 때 제약조건, 즉 설계사양을 고려한 RCGA를 이용하여 제어상수를 탐색하고, 제안한 방법을 시뮬레이션을 통해 검증한다.