• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.188-191
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• 1996

In this paper, we derive dynamic equation of double pole inverted pendulum using Lagrangian equation, and design the fuzzy sliding mode controller. We demonstrate that the designed controller regulates double pole simultaneously regardless of cart position by computer simulation.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1264-1267
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• 2005

Fuzzy logic control has been widely applied for handling the system which has uncertainty or high robust system. Since the dynamic behaviors of the systems contain complexity and uncertainty in its parameters, several fuzzy logic controllers have been implemented to control room temperature in the field of air conditioning system. In this paper, the fuzzy logic control has been developed to control both in door temperature and humidity in the air conditioning systems. The manipulating variables are speed of compressor, heater and supply air flow rate. The microcomputer was used to interface with in system. The experimental results show the superior of multivaiable fuzzy logic control to keep room temperature and humidity in air conditioning system for the best comfortable.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2007년도 춘계학술대회 학술발표 논문집 제17권 제1호
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• pp.217-220
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• 2007

This paper studies method of controlling dynamic process with Fuzzy Cognitive Map (FCM) built in NI LabVIEW software. FCM is the hybrid methodology that combines fuzzy logic and neural networks. A FCM will be developed using NI LabVIEW software to model and control a process of dynamic system. Nowadays more autonomous and intelligent systems are very useful in many areas of people lives especially related with Complex Systems.

• International Journal of Automotive Technology
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• 제7권2호
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• pp.167-172
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• 2006

A design of controller for vehicle dynamic control(VDC) and its implementation on the real vehicle were introduced. The controller has been designed using a three-degrees-of-freedom(3DOF) yaw plane vehicle, and the control algorithm was implemented on the vehicle by control prototyping system dSPACE. A hybrid control algorithm, which makes full use of the advantages of robust and fuzzy control, was adopted in the control system. Field test results show that the performance of the vehicle handling dynamics with hybrid controller is improved obviously compared to that without VDC and with simple robust controller on skiddy roads(friction coefficients lower than 0.3).

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
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• pp.141-144
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• 1997

This paper presents a method of navigation sign recognition in indoor environments using a fuzzy inference for an autonomous mobile robot. In order to adapt to image deformation of a navigation sign resulted from variations of view-points and distances, a multi-labeled template matching(MLTM) method and a dynamic area search method(DASM) are proposed. The DASM is proposed to detect correct feature points among incorrect feature points. Finally sugeno-style fuzzy inference are adopted for recognizing the navigation sign.

• 한국지능시스템학회논문지
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• 제5권3호
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• pp.52-63
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• 1995

A neuro-fuzzy algorithm is presented for nuclear reactor power control in a pressurized water reactor. Automatic reacotr power control is complicated by the use of control rods because of highly nonlinear dynamics in the axial power shape. Thus, manual shaped controls are usually employed even for the limited capability during the power maneuvers. In an attempt to achieve automatic shape control, a neuro-fuzzy approach is considered because fuzzy algorithms are good at various aspects of operator's knowledge representation while neural networks are efficinet structures capable of learning from experience and adaptation to a changing nuclear core state. In the proposed neuro-fuzzy control scheme, the rule base is formulated based ona multi-input multi-output system and the dynamic back-propagation is used for learning. The neuro-fuzzy powere control algorithm has been tested using simulation fesponses of a Korean standard pressurized water reactor. The results illustrate that the proposed control algorithm would be a parctical strategy for automatic nuclear reactor power control.

• Journal of Advanced Marine Engineering and Technology
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• 제31권3호
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• pp.252-262
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• 2007

In this paper, we suggest fuzzy control with feedforward compensator of superheat to progress both energy saving and coefficient of performance(COP) in a variable speed refrigeration system. The capacity and superheat are controlled simultaneously and independently by an inverter and an electronic expansion valve respectively for saving energy and improving COP in the system. By adopting the fuzzy control. the controller design for the capacity and superheat is possible without depending on a dynamic model of the system. Moreover, the feedforward compensator of the superheat can eliminate influence of the interfering loop between capacity and superheat. Some experiments are conducted to design the appropriate fuzzy controller by an iteration manner. The results show that the proposed fuzzy controller with the compensator can establish good control performances for the complicated refrigeration system with inherent strong non-linearity.

• 한국컴퓨터정보학회논문지
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• 제13권7호
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• pp.75-82
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• 2008

댐의 수문 제어는 유입량이 변하는 동안 이루어지는 복잡하고 비선형적인 제어이다. 이 논문에서는 퍼지 추론 기법을 이용하여 유입량이 변하는 동안의 수문을 효과적으로 제어하기 위한 방법을 제안하였다. 특히 단순히 수문 제어에만 머물지 않고 가뭄 때를 대비하여 적정 수위를 유지할 수 있도록 하는 기능과, 하류 지역을 범람을 예방하기 위하여 방류량을 제어할 수 있도록 하는 기능을 보완하였다. 이를 위하여 일반적으로 사용되는 정적인 퍼지 함수를 이용하지 않고 상황에 따라 함수 값이 변하는 동적 퍼지 추론 기법과 방류량 제어를 위한 퍼지 규칙을 함께 적용함으로써 방류량을 제한할 수 있도록 하는 기법을 제안하였다. 제안한 기법을 이용하여 시뮬레이션 실험을 실시한 결과 수문 제어 기능뿐만 아니라 사용자가 지정한 적정 수위를 유지하고 정해진 방류량을 넘지 않도록 하는 방식으로 댐 수문 제어가 이루어짐을 확인할 수 있었다.

• 제어로봇시스템학회논문지
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• 제10권2호
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• pp.125-130
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• 2004

This paper describes an approach for synthesizing a Fuzzy Logic Controller(FLC) that combines the benefits of fuzzy logic control and fuzzy logic gain scheduling for the F/A-18 aircraft. Specially, fuzzy rules are utilized on-line to determine the denoralization factor(Κ) of a feedback fuzzy controller based on the dynamic pressure(Q) indicateing the region of the flight envelop the aircraft is operating in. Simulation results demonstrate that the proposed FLC provides excellent compensation for time-varying and/or nonlinear characteristics of the aircraft, and that it also exhibits satisfactory robustness with noisy air data sensors.

• 융합신호처리학회논문지
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• 제6권3호
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• pp.157-162
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• 2005

본 논문은 미지의 마찰력을 갖는 로봇 매니퓰레이터에 대하여 퍼지시스템을 이용한 적응보상기를 제안한다. 일반적인 로봇제어이론에서는 대부분 마찰력을 무시하거나 단순히 다이나믹 마찰력만을 고려한다. 본 논문에서는 다이나믹 마찰력뿐만 아니라 비스코스 마찰력까지도 고려한 제어방식이다. 마찰력이 관절마다 결부되지 않는다는 성질을 이용하여 각 관절에 해당하는 마찰력을 SISO 퍼지시스템으로 근사하며 전체제어시스템이 안정도를 Lyapunov 안정도 이론을 이용하여 증명하고 적절한 적응법칙을 설계한다. 제안된 제어방식의 타당성을 보이기 위해 2-링크 로봇 매니퓰레이터에 대하여 컴퓨터 시뮬레이션을 보이고 각 링크에 대한 마찰력을 퍼지시스템이 잘 근사한다는 것을 보인다.