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소명옥,유희한,박재식,남택근,최재준,이병찬 한국마린엔지니어링학회 2003 한국마린엔지니어링학회지 Vol.27 No.6
The amount of container freight continuously has been increased. and the low efficiency of container crane causes jamming frequently in transportation and cargo handling at port. The conventional control techniques based on a mathematical model are not well suited for dealing with ill-defined and uncertain systems. Recently. Fuzzy control has been successfully applied to a wide variety of practical problems as robots. automatic train operation system. etc. In this paper. a fuzzy controller for container crane is proposed to accomplish a design of improved control system for minimizing the swing motion at destination. In this scheme a mathematical model for the system is obtained in state space form. Finally. to exhibit the tracking performance and robustness of the proposed controller. computer simulations were carried out with various references, parameter variations and disturbances.
소명옥,이현식,진강규,So Myung-Ok,Lee Hyun-Sik,Jin Gang-Gyoo 한국마린엔지니어링학회 2005 한국마린엔지니어링학회지 Vol.29 No.4
In recent years, AGVs(Automated Guided Vehicles) have received growing attention as a subsystem of the integrated container operating system which enables unmanned control. improvement of job reliability, accuracy and productivity. Therefore, a number of works have been done to enhance the performance AGVs. In this paper. job deployment and a dynamic routing control system composed of supervisor, traffic controller. motion controller and routing table are discussed. A simple job deployment scheme and an efficient dynamic routing algorithm incorporating with the deadlock prediction and avoidance algorithm are investigated.
RCGA에 기초한 선박 가스터빈 엔진용 PID 제어기의 동조
소명옥,정병건,진강규,진선호,이윤형,So Myung-Ok,Jung Byung-Gun,Jin Gang-Gyoo,Jin Sun-Ho,Lee Yun-Hyung 한국마린엔지니어링학회 2005 한국마린엔지니어링학회지 Vol.29 No.1
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.
소명옥,정재학,류길수 한국마린엔지니어링학회 1993 한국마린엔지니어링학회지 Vol.17 No.5
Generally, the main difficulty in the composition of tank-level control system may be in the point that plant parameters are severely varied according to the change of operating point. In order to cope with this difficulty, in this paper, an adaptive control is employed using model-following technique based on the optimal control law. Through the simulations and experiments the following results were observed. 1) The steady-state error was not found under the parameter variations caused by the change of operating point. 2) In spite of the change of operating point, the corresponding gains which were stored in the computer were found to be automatically updated so that the controller could have the adaptive ability. And also, the control specifications in view of transient response were found to be satisfied.
소명옥,류길수 한국마린엔지니어링학회 1996 한국마린엔지니어링학회지 Vol.20 No.4
Recently, fuzzy and neural network techniques have been successfully applied to control of complex and ill-defined system in a wide variety of areas, such as robot, water purification, automatic train operation system and automatic container crane operation system, etc. In this paper, we present a neuro-fuzzy controller which unifies both fuzzy logic and multi-layered feedforward neural networks. Fuzzy logic provides a means for converting linguistic control knowledge into control actions. On the other hand, feedforward neural networks provide salient features, such as learning and parallelism. In the proposed neuro-fuzzy controller, the parameters of membership functions in the antecedent part of fuzzy inference rules are identified by using the error backpropagation algorithm as a learning rule, while the coefficients of the linear combination of input variables in the consequent part are determined by using the least square estimation method. Finally, the effectiveness of the proposed controller is verified through computer simulation of an inverted pendulum system.
소명옥,류길수,이준탁 한국마린엔지니어링학회 1996 한국마린엔지니어링학회지 Vol.20 No.2
This paper presents the linearized fuzzy modeling technique of nonlinear dynamical system and the stability analysis of fuzzy control system. Firstly, the nonlinear system is partitionized by multiple linear fuzzy subcontrol systems based on fuzzy linguistic variables and fuzzy rules. Secondly, the disturbance adaptaion controllers which guarantee the global asymptotic stability of each fuzzy subsystem by an optimal feedback control law are designed and the stability analysis procedures of the total fuzzy control system using Lyapunov functions and eigenvalues are discussed in detail through a given illustrative example.
컨테이너 크레인 시뮬레이터 개발을 위한 크레인 및 고장 설정에 관한 기초연구
소명옥(Myung-Ok So),진선호(Sun-Ho Jin),이윤형(Yeun-Hyung Lee),안종갑(Jong-Kab Ahn),최우철(Woo-Chul Choi) 한국해양대학교 해사산업연구소 2004 海事産業硏究所論文集 Vol.15 No.-
As demands for operational safety and efficiency of crane have been intensified, the requirements for crane drivers' skill have becoming complicated and intricate. Thus, the need exists for effective training devices to better prepare crane drivers for the challenges that they will encounter in the actual crane operating environment. Utilizing simulation technology, even the most skillful and experienced crane drivers are able to improve their operation skills. Crane simulator can provide as much valuable experience as actual crane operation. Situations requiring high skill levels can be practiced repeatedly and, even though mistakes may be made, damage to actual equipment and injury to personnel do not occur. As the basic study on crane simulator, this paper introduces the setting of crane speed, weights, wind, sway, and the fault setting of twist lock, flippers, spreader lamps, and hydraulic systems, etc.
항만효율향상을 위한 컨테이너 크레인의 강인한 제어기 설계
소명옥(Myung-Ok So),이영재(Young-Jae Lee),장하룡(Ha-Ryong Jang),유희한(Hei-Han Rhyu),오세준(Sae-June Oh),류길수(Keel-Soo Rhyu) 한국마린엔지니어링학회 2006 한국마린엔지니어링학회 학술대회 논문집 Vol.2006 No.-
In this paper we present an interpolation-LQ control technique which tunes continuously the gain of controller by interpolating the gain(Lagrangian interpolation method) of sub-LQ controllers. The proposed controller design technique is applied to the container crane system for simulations. Several cases of simulations are carried out in order to prove the control effectiveness and robustness. The simulation results of proposed controller are compared with those of LQ controller. The results showed better control performance than those of LQ controller.
컨테이너 크레인 시뮬레이터 개발을 위한 환경설정에 관한 기초연구
소명옥(Myung-Ok So),최한우(Han-Woo Choi),이윤형(Yeun-Hyung Lee),윤학진(Hak-Jin Yeun),최재준(Jae-Jun Choir),손정기(Jung-Ki Son) 한국마린엔지니어링학회 2003 한국마린엔지니어링학회 학술대회 논문집 Vol.2003 No.-
The skill of the crane operator has influence on the overall profitability of a transport. But, It is very hard to train crane operators effectively by actual crane. Therefore, it is desirable for the crane simulator to be used properly, considering various condition of the crane operation. The purpose of the container crane simulator is to provide a facility for training and evaluation of crane operators and aspirants. Training using crane simulator provides crane operators with the increased safety and high efficiency. Hence, as the basic study on crane simulator, this paper introduces developers the kinds of training education programs and the setting up of environmental conditions for virtual reality crane simulator