• Journal of Environmental Science International
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• v.8 no.4
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• pp.533-538
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• 1999

Fuzzy algorithm of automatic control for dissolved oxygen(DO) concentration in the aeration tank of an activated sludge process is proposed. Among variables repirometry and air flowrate are selected as significant input factors and the relationship with DO is estimated using a multiple regression model. The DO concentration and the amount of repirometry are fuzzified and the fuzzy rule base are determined. Using the fuzzy algorithm, the change of amount of air flowrate are determined and the change of amount of DO is derived.

• International Journal of Aeronautical and Space Sciences
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• v.18 no.2
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• pp.315-326
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• 2017

Four quadrotor UAVs are maneuvered to guide four animals into their pen within the minimum time by creating noises of predators modeled with an exponential function. The quadrotor UAVs are controlled via PID controllers, follow time optimal trajectories, and avoid collisions through altitude separations. The stability of the proposed PID controller is analyzed and verified using MATLAB/Simulink based simulations. Proposed step by step strategies would be practical solutions of actual cattle roundup problems.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.936-939
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• 1996

In this paper, two specially designed associative mapping memories, called Associative Mapping Elements(AME) and Multiple-Digit Overlapping AME(MDO-AME), are presented for learning of nonlinear functions including kinematics and dynamics of robot manipulators. The proposed associative mapping memories consist of associative mapping rules(AMR) and weight update rules(WUR) which guarantee generalization and specialization of input-output relationship of learned nonlinear functions. Two simulation results, one for supervised learning and the other for unsupervised learning, are given to demonstrate the effectiveness of the proposed associative mapping memories.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.331-334
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• 1996

It is a well-known problem that the adaptive control has a poor transient response. In order to improve this problem, the scheme that model-reference adaptive control (MRAC) uses the genetic algorithm (GA) in the search for parameters is proposed. Use genetic algorithm (GA) in the searching for controller's parameters set and conventional gradient method for fine tuning. And show the reduction of the oscillations in transient response comparing with the conventional MRAC.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.514-515
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• 2010

본 논문은 다중출력 스위칭 모드 전원 공급장치의 경부하 상태에서 2차측의 부하 전압안정을 위하여 일반적으로 사용하는 선형 전압조정기의 제어기 내 부하전류정보를 이용하여, 대기모드를 구현함으로써 시스템의 효율을 향상 시켰다. 제안된 회로의 동작원리를 설명하고 이를 시뮬레이션을 통하여 확인하고 20W급 하드웨어 프로토타입을 이용하여 검증하였다.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.355-355
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• 2000

The position control accuracy of a robot manipulator is significantly deteriorated when a long arm robot is operated at a high speed. This paper presents a very simple sliding mode control which eliminates multiple mode residual vibration in a 개bot manipulator. The neural network is used to avoid that sliding mode condition is deviated due to the change of system parameter and disturbance. This paper is suggested control system which designed by sliding mode controller using neural network. The effectiveness of proposed scheme is demonstrated through computer simulation.

• Proceedings of the KIEE Conference
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• 1997.07b
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• pp.693-695
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• 1997

This paper deals with the tracking control problem of robotic manipulators with unknown or changing dynamics. The torque input applied to the joint actuators is determined at every instance by the identification model that best approximates the robot dynamics. The best of the identified model is chosen by the proposed switching mechanism with fuzzy inference of the manipulator in an indirect adaptive controller architecture. Simulation results are also included to demonstrate the improvement in the tracking performance when the proposed method is used.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.8
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• pp.45-55
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• 1997

To design a ATM Switch which ahs advantages in high sped packet switching, it is essential to set multiple paths between input ports and output ports and to design a new packet transfer technique on that paths for decreasing Packet Loss by conflicts in internal Switch Plane. We propose new packet transfer method, Alternate Path Transfer Mechanism by Dynamic Bypass Transfer Method which can solve conflict problem in Banyan network easily. Proposed ATM Switch consists of Banyan networks, Input/Ouput Port, Bypass Link, and Bypass Link Controller. Packets caused conflicts in SEs have another chances of packet transfer over alternate switching planes by using this mechanism.

• Proceedings of the KSR Conference
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• 2000.05a
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• pp.151-156
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• 2000

The brake system is important to stop train safely. The train is sloped by regenerative brake and pneumatic brake which are continuously blended at service brake. When service is applied to train, it is controlled by train weight and brake command. The jerk limitation function is applied for impulseless smoothing braking. All brake applications in service condition have a function of the variable load control to keep the braking effort in proportion to each car load. All of control function are performed by brake controller. Therefore, we will propose the design of brake control system in order to control efficiently

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.895-898
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• 1993

Instead of Cartesian product for in combining multiple inputs for fuzzy logic controllers, a method using fuzzy relation in inference is proposed. Moreover, fuzzy control rule described by fuzzy relations is derived from given conventional fuzzy control rule by fitting concept. It will be shown through several examples that the proposed technique gives smoother interpolation than conventional ones.