• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.51-56
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• 1998

In this paper, we analyze the effects of scaling factors on the performance of a fuzzy logic controller(FLC). The quantitative relation between input and output variables of FLC is obtained by using a qualsi-linear fuzzy model, and an approximate transfer function of FLC is dervied from the comparison of it with the conventional PID controller. Then we analyze in detail the effects of scaling factor using this approximate transfer function and root locus method. Also we suggest an on-line tuning method for scaling factors which employs an sample performance function and a variable reference for tuning index.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 하계학술대회 논문집 B
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• pp.499-503
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• 1997

In this paper, we present a fuzzy ICC using a self-tuning method. To provide robustness and adaptiveness over the vehicle nonlinearities and changes of the driving environments, an on-line self-tuning scheme based on 'Interior Penalty Function' was developed. Road test and computer simulation results verify the feasible performance of the suggested ICC algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1392-1395
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• 1996

Nonlinear PID controllers have increasingly used in current industrial practice because it is robust and is easy to operate. Little guideline and tuning method, however, has been recommended for the nonlinear PID controllers while a lot of result is available for the linear PID controllers. Application guideline and tuning formulae are presented for error square type nonlinear controllers, which are most popular currently, are presented.

• 대한전자공학회논문지TC
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• 제44권11호
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• pp.54-59
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• 2007

본 논문에서는 varactor-loaded split-ring resonator (VLSRR)를 기반으로 한 가변 metamaterial 전송 선로를 이용한 광대역 전압 제어 발진기를 제안하였다. 우선, 마이크로스트립 라인에 결합된 VLSRR이 주파수 조절 특성을 갖는 metamaterial 전송선로를 만들 수 있음을 증명하였다. 음의 유효 투자율은 VLSRR에 의해 공진 주파수 상에서 협대역으로 얻어지는데, 버랙터 다이오드들의 연결을 통해 주파수가 조절될 수 있다. 1.8 V의 공급 전압을 갖는 전압 제어 발진기는 주파수 조절 범위 $5.407\;{\sim}\;5.84\;GHz$에서 $-108.84\;{\sim}\;-105.5\;dBc/Hz$ @ 100 kHz의 위상 잡음 특성을 얻는다. Power-frequency-tuning-normalized (PFTN)이라고 불리우는 figure of merit (FOM)은 20.144 dB이다.

• 전기학회논문지
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• 제57권3호
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• pp.518-526
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• 2008

The fuzzy self-tuning PID controller is a PID controller with a fuzzy logic mechanism for tuning its gains on-line. In this structure, the proportional, integral and derivative gains are tuned on-line with respect to the change of the output of system under control. This paper deals with two types of fuzzy self-tuning PID controllers, rule-based fuzzy PID controller and learning fuzzy PID controller. As a medical application of fuzzy PID controller, the proposed controllers were implemented and evaluated in a laparoscopic surgery robot system. The proposed fuzzy PID structures maintain similar performance as conventional PID controller, and enhance the position tracking performance over wide range of varying input. For precise approximation, the fuzzy PID controller was realized using the linear reasoning method, a type of product-sum-gravity method. The proposed controllers were compared with conventional PID controller without fuzzy gain tuning and was proved to have better performance in the experiment.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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• pp.428-431
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• 1995

In this paper we propose an on-line tuning method by using genetic algorithm for robust minimax I-PD controller based on new criterion. The new criterion is the Integral of Squared Error (ISE) with a penalty of the derivative of manipulated variable. The work focuses on robust tuning of I-PD controller's parameters in the presence of plant parameter uncertainty. The result of several simulation studies are provided to illustrate the performance of this robust tunig method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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• pp.456-458
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• 1986

A method for on-line tuning of the PID-controller parameters for a discrete-time multivariable process system is presented. And it is based on a step change in the controller set point. The system is presumed to be a linear, open loop stable and known one. The controller parameters are determined by the performance criterion and Fletcher-Powell methods.

• 조명전기설비학회논문지
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• 제23권11호
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• pp.69-75
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• 2009

In this paper, a self-tuning regulator for a speed control of a permanent magnet type stepping motor is proposed. The self-tuning theory provides a nonlinear modeling of a stepping motor drive system and can provide the controller with information regarding the reference variation and parameter variation of the stepping motor through the on-line estimation. The proposed self-tuning regulator organize the positive feedback loop and IP(Integral-Proportional) type. Therefore, the proposed self-tuning regulator has a robust control capabilities during dynamic operation. The availability of the proposed controller is verified through experimental results.

• 전기전자학회논문지
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• 제6권1호
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• pp.21-29
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• 2002

본 논문에서는 전부 디지털 회로로 구성된 고 해상도의 DLL(Delay Locked Loop)를 제안하였다. 제안된 회로는 위상 검출기, 지연 선택 블록, 그리고 각각의 지연 체인을 가지는 Coarse, Fine 그리고 Ultra Fine 위상조정 블록의 삼 단의 형식으로 되어 있다. 첫 번째 단은 Ultra Fine 위상조정블록으로 고 해상도를 얻기 위하여 Vernier Delay Line을 사용하였다. 두 번째와 세 번째 단은 Coarse와 Fine 위상조정블록으로 각각의 단위 지연 체인을 이루는 단위 지연 소자의 해상도 만큼의 위상 제어를 하게 되며, 두 단은 상당히 비슷한 구조를 이루고 있다. 회로는 HSPICE를 이용하여 공급 전압이 3.3V인 $0.35{\mu}m$ CMOS 공정으로 시뮬레이션 되었다. 시뮬레이션 결과 회로의 해상도를 약 10ps로 높일 수 있었으며, 동작 범위는 250MHz에서 800MHz 이다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 B
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• pp.1137-1139
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• 2002

In this paper, recurrent artificial neural network (RNN) based self tuning speed controller is proposed for the high performance drives of induction motor. RNN provides a nonlinear modeling of motor drive system and could give the information of the load variation, system noise and parameter variation of induction motor to the controller through the on-line estimated weights of corresponding RNN. Thus, proposed self tuning controller can change gains of the controller according to system conditions. The gain is composed with the weights of RNN. For the on-line estimation of the weights of RNN, extended kalman filter (EKF) algorithm is used. Self tuning controller that is adequate for the speed control of induction motor is designed. The availability of the proposed controller is verified through the MATLAB simulation with the comparison of conventional PI controller.