• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.71-71
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• 2000

In this paper, the fuzzy system is applied to MCZ Crystal Grower using at industrial field. The existing controller, which is PID controller, has a fixed gain and as a result of it it can not have an adaptive control function against the error or disturbance. Hence, the machine operator should always check the process status and when the error is occurred, the quality and the productivity may be decreased by each personal capability. In order to remove this drawback, a fuzzy control system which is known to be adaptive and flexible is applied to the machine. After applying the fuzzy system, and compared with the existing system, the diameter deviation and the defects were decreased. we proved the possibility of application fuzzy system to single silicon crystal grower.

• The Korean Journal of Physiology
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• 제9권1호
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• pp.77-82
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• 1975

This experiment was carried out to observe a biological effect of ginseng on the weight gain, physical performance and lactic acid production after exercise in mice. A group of mice weighing about 19 gm was divided into ginseng and cotrol group. on the treadmill (Exp. I & II) and LDH activity of liver and heart homogenates (Exp. II) were determined. Results are summerized as follows; 1. Body weight gain was greater id ginseng group than in control and the difference was statistically significant at 9th and 16th days of experimental period. 2. Maximal running time of ginseng was found to be longer than that of control (p<0.05) in experiment I and the experiment II also revealed the significant increase in maximal running time in ginseng group. 3. Bloo lactate concentration of 48 hour-rest from physical exertion was lower in ginseng group than in control (p<0.05). 4. LDH activity in liver homogenate was lower compared to control group, but in heart homogenate, it was greater in ginseng group. Above findings may be concluded tat the range of biological dose (20 mg/mice/day) of ginseng powder stimulated the body weight gain and increase of physical performance and its mechanism might be attributable to a lower level of blood lactic acid. The adaptive change of LDH activity also contributed to the change in lactate level in blood and tissue.

• 전자공학회논문지
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• 제51권2호
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• pp.46-52
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• 2014

본 논문은 다중 이득 제어를 통하여 빠른 lock-time을 갖는 디지털 위상 주파수 검출기 회로를 제안한다. 기준신호와 피드백 신호의 위상 차이가 클 때, 위상 차이가 적으면서 lock에 근접했을 때, lock 이후의 세 경우에 따라 디지털 위상 동기 루프의 이득을 다르게 설정하여 lock-time을 효과적으로 줄일 수 있다. 시뮬레이션 결과를 통해 제안된 기법을 적용함으로써 기존의 단일 이득 제어 구조보다 lock-time을 약 100배 개선시킬 수 있음을 확인하였다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제13권4호
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• pp.318-330
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• 2013

This paper presents a high-linearity low-noise small-size programmable gain amplifier (PGA) based on a new low-noise low-distortion differential amplifier and a proposed reconfiguration technique. The proposed differential amplifier combines an inverter-based differential pair with an adaptive biasing circuit to reduce noise and distortion. The reconfiguration technique saves the chip size by half by utilizing the same differential pair for the input transconductance and load-stage, interchangeably. Fabricated in $0.18-{\mu}m$ CMOS, the proposed PGA shows a dB-linear control range of 21dB in 16 steps from -11 dB to 10 dB with a gain error of less than ${\pm}0.33$ dB, an IIP3 of 7.4~14.5 dBm, a P1dB of -7~1.2 dBm, a noise figure of 13dB, and a 3-dB bandwidth of 270MHz at the maximum gain, respectively. The PGA occupies a chip area of $0.04mm^2$ and consumes only 1.3 mA from the 1.8 V supply.

• 한국산학기술학회논문지
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• 제10권8호
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• pp.1839-1842
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• 2009

본 논문에서는 지능형 순항제어 시스템용 24GHz 대역 마이크로스트립 구형패치 배열 안테나의 설계 방법을 제안하였다. 안테나는 송신안테나 $1{\times}2$배열, 수신안테나 $1{\times}2$배열로 각각 구성하였다. 안테나는 CST MWS를 사용하여 시뮬레이션 하였고 RO-4003 기판(h=0.5mm, ${\epsilon}r=3.38$)을 사용하여 제작하였다. 제작된 안테나는 충돌방지용 센서회로 뒷면에 설치되어 측정되었다. 시뮬레이션에서 안테나이득은 8.5dBi, 빔폭은 약 $50^{\circ}$로 예측되었다. 실제 측정된 안테나 대역폭은1GHz($VSWR{\le}2$) 정도로 목표 사양을 만족하였다.

• 전기학회논문지
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• 제60권10호
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• pp.1978-1983
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• 2011

BLDC motor is used in a wide variety of industrial and servo applications. Its features and advantages mainly consist in high value of torque/inertia ratio, high efficiency with speed range and high dynamic performance. This paper deals with the speed control of a trapezoidal type brushless DC motor using Fuzzy PI controller. The conventional PI controller has been widely used in industrial applications. If we select a optimal PI control gain, the PI controller shows very good control performance. But it is very difficult to find the optimal PI control gain. Fuzzy control does not need any model of plant and is basically adaptive and gives robust performance for plant parameter variation. Therefore the combinations of conventional PI controller and fuzzy controller seem to be very effective. This paper deals with PI controller with 4-rule based fuzzy controller. The proposed fuzzy PI controller increases the control performance of the conventional PI controller. Simulation and experimental results show that fuzzy PI controller has a good robustness regarding the improper tuned PI controller.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2006년도 춘계학술대회 논문집
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• pp.315-320
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• 2006

This paper presents speed control of IPMSM drive using neural network(NN) PI controller. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness of fixed gain PI controller, NNPI controller proposes a new method based neural network. NNPI controller is developed to minimize overshoot, rise time and settling time following sudden parameter changes such as speed, load torque and inertia. Also, this paper is proposed speed control of IPMSM using neural network and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fired gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

• International Journal of Aeronautical and Space Sciences
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• 제13권4호
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• pp.491-498
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• 2012

A Ground Based Augmentation System (GBAS) is an enabling technology for an aircraft's precision approach based on a Global Navigation Satellite System (GNSS). However, GBAS is vulnerable to interference, so effective GNSS interference detection and mitigation methods need to be employed. In this paper, an intentional GNSS interference detection and characterization algorithm is proposed. The algorithm uses Automatic Gain Control (AGC) gain and adaptive notch filter parameters to classify types of incoming interference and to characterize them. The AGC gain and adaptive lattice IIR notch filter parameter values in GNSS receivers are examined according to interference types and power levels. Based on those data, the interference detection and characterization algorithm is developed and Monte Carlo simulations are carried out for performance analysis of the proposed method. Here, the proposed algorithm is used to detect and characterize single-tone continuous wave interference, swept continuous wave interference, and band-limited white Gaussian noise. The algorithm can be used for GNSS interference monitoring in an excessive Radio Frequency Interference environment which causes loss of receiver tracking. This interference detection and characterization algorithm will be used to enhance the interference mitigation algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.836-841
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• 1987

Many kinds of conditioning monitoring technique have been studied, so this study has investigated the possibility of checking the trend in the fault diagnosis of ball bearing, one of the elements of rotating machine, by applying the cepstral analysis method using the adaptive noise cancelling (ANC) method. And computer simulation is conducted in oder to identify obviously the physical meaning of ANC. The optimal adaptation gain in adaptive filter is estimated, the performance of ANC according to the change of the signal to noise ratio and convergence of LMS algorithm is considered by simulation. It is verified that cepstral analysis using ANC method is more effective than the conventional cepstral analysis method in bearing fault diagnosis.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2002년도 춘계합동학술대회 논문집
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• pp.121-126
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• 2002

We proposed the design of SVC adaptive fuzzy logic controller(AFLC) using Tabu search and neural network. We tuned the gains of input-output variables of fuzzy logic controller(FLC) and weights of neural network using Tabu search. Neural network was used for adaptively tuning the output gain of FLC. The weights of neural network was learned from the back propagation algorithm in real-time. To evaluate the usefulness of AFLC, we applied the proposed method to single-machine infinite system. AFLC showed the better control performance than PD controller and GAFLC[8] for. three-phase fault in nominal load which had used when tuning AFLC. To show the robustness of AFLC, we applied the proposed method to disturbances such as three-phase fault in heavy and light load. AFLC showed the better robustness than PD controller and GAFLC[8].