• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.3
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• pp.9-15
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• 1998

This paper presents an adaptive learning control method for unknown nonlinear systems by combining neuro control and iterative learning control techniques. In the present control system, an iterative learning controller (ILC) is used for a process of short term memory involved in a temporary adaptive and learning manipulation and a short term storage of a specific temporary action. The learning gain of the iterative learning law is estimated by using a neural network for an unknown system except relative degrees. The control informations obtained by ILC are transferred to a long term memory-based feedforward neuro controller (FNC) and accumulated in it in addition to the previously stored infonnations. This scheme is applied to a two link robot manipulator through simulations.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.24 no.1
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• pp.54-61
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• 2014

This paper proposes a driver supportive device with haptic cue function which can transmit optimal gear shifting timing to a driver without requiring the driver's visual attention. Its performance is evaluated under vehicle model considering automotive engine, transmission and vehicle body. In order to achieve this goal, a torque feedback device is devised and manufactured by adopting the MR (magnetorheological) fluid and clutch mechanism. The manufactured MR clutch is then integrated with the accelerator pedal to construct the proposed haptic cue device. A virtual vehicle emulating a four-cylinder four-stroke engine, manual transmission system of a passenger vehicle and vehicle body is constructed and communicated with the manufactured haptic cue device. Control performances including torque tracking and fuel efficiency are experimentally evaluated via a simple feed-forward control algorithm.

• Therapeutic Science for Rehabilitation
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• v.4 no.1
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• pp.29-38
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• 2015

Objective : The purpose of the study is to propose the treatment methods for problem of handwriting, micrographia in Parkinsons disease. Methods : For this purpose, foreign literatures on the subjects with Parkinsons disease was researched. Results : The results of this review is summarized as follows. The treatment methods for micrographia were applied to external cue and feedback among motor learning strategies in order to improve motor initiation. The external cues included visual, auditory, and verbal stimulations, and feedback strategy was visual stimulation. For writing with external cue or visual feedback, result in expanding the size of the letters in addition, writing task performance is maintained for a short period without those. Conclusion : Further studies are needed to examine the strategy maintained effect for long periods.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.393-396
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• 1999

본 논문에서는 흡음 재료와 압전 재료를 부착시켜 넓은 대역에서 소음 저감을 향상 시키는 압전 지능패널(piezoelectric smart panel)을 구성한 후 이를 통하여 구조물로부터 복사되는 소음의 저감 성능을 실험적으로 고찰 하였다. 우선, 단빌 평판과 흡음 재료가 부학된 편판을 구성하여 소음 저감 성능을 즉정 하였다. 그리고 두 방법을 합성하여 광 대역에서의 소음을 저감 시키기 위해 흡음 재료와 압전 재료를 부착한 압전 지능패널을 이용하여 감지기로부터 측정된 신호를 적절한 부 이득(negative gain)을 거쳐 작동기에 되먹임 하였을 때의 소음 저감 성능을 측정 하고 앞의 두 결과와 비교하였다. 실험 결과로부터 수동적 방법과 능동적 방법을 복합적으로 구성한 압전 지능패널이 넓은 주파수 대역에서 소음을 저감 시킬 수 있음을 확인할 수 있었다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.12
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• pp.154-161
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• 2009

A fuel cell power plant is a very complex system which has various control loops with some non-linearity. For control of a fuel cell power plant, dynamic models of fuel cell stacks have been developed and simplified process flow diagrams of a fuel cell power plant has been presented. Using such a model of a Molten Carbonate Fuel Cell (MCFC) power plant, this paper deals with development of an intelligent setpoint reference governor (I-SRG) to find the optimal setpoints and feed forward control inputs for the plant power demand. The I-SRG is implemented with neural network by using Particle Swarm Optimization (PSO) algorithm based on system constraints and performance objectives. The feasibility of the I-SRG is shown through simulation of an MCFC power plant for tracking control of its power demand.