• Journal of the Korean Society for Precision Engineering
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• 제23권12호
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• pp.46-55
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• 2006

A robust motion controller based on self-organizing fuzzy control(SOFC) and feed-back tracking control technique is proposed for a two-wheel driven mobile robot. The feed-back control technique of the controller guarantees the robot follows a desired trajectory. The SOFC technique of the controller deals with unmodelled dynamics of the vehicle and uncertainties. The computer simulations are carried out to verify the tracking ability of the proposed controller with various driving situations. The results of the simulations reveal the effectiveness and stability of the proposed controller to compensate the unmodelled dynamics and uncertainties.

• The Transactions of the Korean Institute of Electrical Engineers
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• 제38권8호
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• pp.617-628
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• 1989

In systematic tuning of digital STC parameters, systems with time-varying parameters and systems with time-varying delays are studied individually because of many preconditions and difficulties. In order to eliminate all these difficulties effectively, the expert control technique is required to enhance STC control functions. In this paper, an expert controller, a STC utilizing expert control technique, for process control is designed. The expert controller is composed of an unstability indicator for detecting plant unstability, an expert back-up controller and an expert STC which are switched each other by the unstability indication, and expert system with knowledge base and inference engine. This expert controller is able to perform control functions successfuly for the following` 1) a system which has unknown and time-varying delay time, 2) a time-varying system which has unknown parameters, and 3) a system with minimun and non-minimum phase. The robust control function is demonstrated by computer simulations.

• Journal of the Korea Society for Simulation
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• 제7권2호
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• pp.125-136
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• 1998

To upgrade railway traffic density without any change of signal block length between stations on existing railway lines, a new signalling system of train control "the pattern control technique" is suggested. It needs very little change to computerize the cab signal using transponders. A computer simulation system is developed to experiment the new control method. The new signalling system shows much increase of the railway traffic efficiency. The train head-way time by the fixed signalling system and the new pattern control system is analyzed. The pattern control technique shows 35% increasement of trair operation under same condition of railway and trains.nd trains.

• The Journal of Society for e-Business Studies
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• 제15권1호
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• pp.1-16
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• 2010

Confidentiality is one of the most important requirements of information protection systems. The access control technique has been used to provide confidentiality, but it has fundamental problems in that it cannot prevent violations of confidentiality committed by authorized users. Information flow control is a technique introduced to resolve such problems, and many approaches based on programming languages have been proposed. However, it is not easy for a programmer to implement the technique at the source code level. Furthermore, the practicality of information flow control is difficult to demonstrate because it does not provide control over programs that have already been developed. This paper proposes a method that enables a practical information flow control through using a protected area, a separate part of computer system storage. Case studies are given to show its usefulness.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 한국지진공학회 2006년도 학술발표회 논문집
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• pp.495-502
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• 2006

Seismic performance of semi-active fuzzy control algorithm to operate MR dampers for coupling adjacent building is investigated in this paper. In the proposed semi-active control technique, the fuzzy logic is used as a method to adjust input voltage to MR damper. In order to validate control performance of proposed technique, the seismic performance of the semi-active fuzzy control system is compared with that of passive control system where the input voltage to MR damper is set to display maximum damping force. The simulated results show that the semi-active fuzzy control technique effectively regulates the trade-off existing between seismic responses of two buildings subject to various earthquake excitations.

• Proceedings of the KIEE Conference
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• 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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• pp.25-28
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• 1989

This paper is to study a modified hysteresis band current control technique for keeping the fixed switching frequency. The control technique is applied to an brushless DC motor(BLDCM). This paper gives an analysis of the modified hysteresis band with isolated neutral case and the PI controller with current limiter in forward loop; their characteristics are studied by simulation. The proposed control technique is implemented by using a microprocessor-based system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.117.4-117
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• 2001

This paper introduces the movement creation and control technique of an avatar, whose replacement of the user is increasing due to the rapid development of the internet and hardware that generalizes the VR. A 3D avatar´s movement is usually created through the key-framing technique or motion-capture equipment. This paper introduce the production of the avatar´s movement by constructing a articulated avatar whose speed and movement are automatically created by the neural oscillatory network and avatar´s joint is controlled by the use of kinematics and motion editor.

• Proceedings of the IEEK Conference
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.1125-1128
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• 1999

This paper presents a speed controller for the Sinusoidal type BLDC motor using the sliding mode. Since the sliding mode control has some practical limitations such as the chattering phenomenon and reaching phase problems, the technique of overcoming these limitations is proposed in a practical realization. This proposed speed control technique is composed of an smooth integral variable structure control(IVSC), and chattering prediction method.

• Journal of Institute of Control, Robotics and Systems
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• 제20권10호
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• pp.1014-1022
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• 2014

In mechatronic systems using electric signals to drive control systems, driving signals including the frequency band of the unwanted signals, such as resonant frequencies and noise frequencies, can affect the accuracy of the controlled system and can cause serious damage to the system due to the resonance phenomenon of the mechatronic system. An LOS (Line of Sight) control unit is used to automatically rotate the gimbal system with a video imaging system generally mounted on modern aerial vehicles. However, it still suffers from natural frequency variation problems due to variations of operational temperature. To prevent degradation in performance, this paper proposes an adaptive filtering technique based on real-time noise analysis and adaptive notch-filtering for LOS control systems, and verifies how our proposed method maintains the LOS stabilization performance. Additionally, this filtering technique can be applied to the image noise filtering of the video imaging system. It is designed to reduce image noises generated by switching circuits or power sources. The details of design procedures of the proposed filtering technique and the experiments for the performance verification are described in this paper.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권3호
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• pp.185-191
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• 2008

In this paper, experimental studies of a neural network (NN) control technique for non-model based position control of the x-y table robot are presented. Decentralized neural networks are used to control each axis of the x-y table robot separately. For an each neural network compensator, an inverse control technique is used. The neural network control technique called the reference compensation technique (RCT) is conceptually different from the existing neural controllers in that the NN controller compensates for uncertainties in the dynamical system by modifying desired trajectories. The back-propagation learning algorithm is developed in a real time DSP board for on-line learning. Practical real time position control experiments are conducted on the x-y table robot. Experimental results of using neural networks show more excellent position tracking than that of when PD controllers are used only.