• Journal of the Institute of Convergence Signal Processing
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• 제5권2호
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• pp.138-142
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• 2004

This paper proposes the design of the model following control system using the PID control structure. PID control system became model following control by inserting new pre-compensator in order to improve control performance in discrete-time region. Gain of the PID controller needs to be readjusted when response of system changes due to disturbance or load fluctuation. Performance of control system improves by joining neural network to PID control system because performance of control system depends largely on each PID gain in PID control system. And the games of the PID controller in the proposed control system are automatically adjusted by back-propagation algorithm of the neural network. Angular position of DC servo motor is selected as a plant in order to verify control performance in model following control. After it is applied to the position control system, it's performance is verified through computer experiment.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• 제20권7호
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• pp.53-57
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• 2006

PID controller is widely uesd as automatic equipment for industry. However when a system has various characters of intermittence or continuance, a new parameter decision for accurate control is a hard task. As method of solving this problem, in this paper, a Neural Network gain automatic regulator as PID controller functions is presented. A property feedback control gain of system is decided by a rule of Delta learning. The function of proposed automatic Neural Network gain regulator is verified by speed control experiment results of Induction Motor.

• Journal of the Korean Institute of Intelligent Systems
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• 제18권6호
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• pp.762-767
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• 2008

This paper introduces a $L_{\infty}$-gain state feedback fuzzy controller design for the time delay nonlinear system represented by Takagi-Sugeno(T-S) fuzzy model. First, the T-S fuzzy model is employed to represent the time delay nonlinear system. Next based on the fuzzy model, a fuzzy state feedback controller is developed to achieve $L_{\infty}$-gain performance. Finally, sufficient conditions are derived for $L_{\infty}$-gain performance. The sufficient conditions are formulated in the format of linear matrix inequalities (LMIs). The effectiveness of the proposed controller design methonology is finally demonstrated through numerical simulations.

• Proceedings of the KIEE Conference
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• 대한전기학회 2003년도 하계학술대회 논문집 D
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• pp.2179-2181
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• 2003

기존의 이산시간 슬라이딩 모드 제어기에서는 주어진 슬라이딩 평면으로부터 등가 제어기를 설계하고 그로부터 폐루프 시스템의 고유값이 결정 되어 폐루프 시스템의 극점을 임의로 배치시키는 것이 어려웠다. 최근 슬라이딩 모드제어에 극점 배치기법을 도입하여 폐루프 시스템의 고유값을 임의로 배치시킬 수 있는 방법이 소개되었다. 그러나 극점 배치 기법은 루프 전달함수의 이득과 위상에 대한 여유도 관점에서 설계된 제어기가 아니므로 직접적으로 이득과 위상에 대한 여유도를 보장하기가 힘들다. 따라서 본 논문에서는 루프 전달함수의 이득과 위상에 대한 여유도를 확보할 수 있고 측정 잡음에 대한 민감성을 줄이기 위해 LTR과 멀티레이트 출력 제어기법을 적용해 해결하는 방법을 제안한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제15권9호
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• pp.1871-1880
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• 2011

In this paper, a controller for two wheeled inverted pendulum robot, i.e., Segway type robot that is a convenient and easily handled vehicle is designed to have more stable balancing and faster velocity control compared to the conventional method. First, a widely used PID control structure is applied to the two wheeled inverted pendulum robot and proper PID control gains for some specified weights of users are obtained to get accurate balancing and velocity control by use of experimental trial-and-error method. Next, neural network is employed to generate appropriate PID control gains for arbitrarily selected weight. Here the PID gains based on the trial-and-error method are used as training data. Simulation study has been carried out to find that the performance of the designed controller using the neural network is more excellent than the conventional PID controller in terms of faster balancing and velocity control.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 한국산업정보학회 1998년도 춘계공동학술대회 발표논문집 IMF시대의정보화 추진전략
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• pp.313-319
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• 1998

본 논문에서는 슬라이딩모드 제어이득을 실시간으로 계산하여 적응시키는 적응 가변구조제어기 설계방법을 제시한다. 제시된 방법은 간단한 계산으로 슬라이딩모드제어의 조건을 만족시키도록 제이이득을 변화시키므로 채터링을 감소시키고 추적오차성능을 개선시킨다. 계산시간이 적어 실시간 제어에 적용이 쉬운 장점이 있다. 제시된 제어방법을 기존의 방법과 비교하여 설계의 예를 보였고 시뮬레이션을 통하여 제시된 방법의 유용성을 보였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제30권4A호
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• pp.233-240
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• 2005

In this paper, we have shown the gain recovery time of erbium-doped fiber amplifier(EDFA) in WDM add/drop networks can be reduced to less than $3\mu$sec by employing disturbance observer technique with PID controller which is based on 3-level EBFA model. The $3\mu$sec transient time is the fastest one ever reported and it is about $1\%$ of $250\mu$sec previously obtained from disturbance observer technique with PI controller which was based on 2-level EDFA model and it is also less than $200\mu$sec of commercially available EDFAs for WDM networks. We were able to obtain this result by analyzing various system characteristics as we change the parameters of disturbance observer and PID controller. If this result is applied to a commercial product, the product will do an important role in the future dynamic WDM networks.

• Proceedings of the KIPE Conference
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• 전력전자학회 2019년도 전력전자학술대회
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• pp.394-395
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• 2019

본 논문은 단상 풀 브리지 인버터의 인덕터 전류를 이용한 능동 댐핑을 적용한 비례-공진 제어기의 이득값 선정 방법을 제안한다. 제어기를 포함한 전체 인버터 회로의 시스템을 수식적으로 모델링하여 비례이득과 적분이득 간의 상관관계를 정리한 후, 얻어낸 이득값이 유효한지 검증하기 위해 PSIM과 MATLAB을 통해 검증하였다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• 제44권7호통권361호
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• pp.54-61
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• 2007

A variable gain low noise amplifier (VG-LNA) implemented in TSMC 0.18 um process is presented. This VG-LNA is designed of two stage amplifier, and its gain is controlled by the shunt feedback loop composed of a gain control transistor (GCT) and a coupling capacitor in second stage. The channel resistance of GCT in the shunt feedback loop influences the input and output stages of a second stage by the Miller effect. Total gain of the proposed VG-LNA is changed by two factors, the load impedance reduction and the interstage mismatch by controlling the channel resistance of the GCT. Consequently, by adding a shunt feedback with a gain control transistor, this proposed VG-LNA achieves both wide gain tuning range of 37 dB and continuous gain control simultaneously.

• Journal of the Korea Convergence Society
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• 제11권11호
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• pp.195-201
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• 2020

This paper implemented quadcopter-type drone system and proposed the heuristic method for obtaining the optimum gain coefficients in order to minimize the settling time. Control system for quadcopter posture stabilization reads the posture data from accelerator and gyro sensor, revises the original posture data using Mahony filter, and drives 4 DC motors using PID controller. The first step of the proposed method is to obtain the gain coefficients using the Ziegler-Nichols method, and then determine the optimum gain coefficients using the heuristic method at the next 3 steps. The experimental result shows that the maximum overshoot decreases from 44.3 to 29.8 degrees and the settling time decreases from 2.6 to 1.7 seconds compared to the Ziegler-Nichols method. Therefore, we proved that the proposed method works well in quadcopter flight system with high motor noise while reducing trial and error to obtain the optimal PID gain coefficients.