신경망-PID 제어기를 이용한 직류전동기의 속도제어에 관한 연구

박왈서,유인호,이성수 원광대학교 공업기술개발연구소 2003 工業技術開發硏究誌 Vol.23 No.-

Robust control for feedback control system is needed according to the highest precision of industrial automation. However, when a neural network feedback control system has an effect of disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem, in this paper, hybrid control method of neural network controller and PID controller is presented. A neural network controller is operated as a main controller, a PID controller is a assistant controller which operates only when some undesirable phenomena occur, e.q., when the error hit the boundary of constraint set. The robust control function of neural network-PID controller is demonstrated by speed control of Motor.

이소말토 올리고당의 첨가가 약과의 품질특성에 미치는 영향

김향숙,서월석,김은겸,이화영 충북대학교 교육 ·생활연구소 생활과학연구센터 2002 생활과학연구논총 Vol.6 No.2

This study was to develope low-calorie Yak-kwa by using oligosaccharides instead of honey. Sensory and instrumental textur properties of Yak-kwa were examined. The calorie of oligosaccharide Yak-kwa was 31% lower than honey Yak-kwa. Color of oligosaccharide Yak-kwa was lighter than that of honey Yak-kwa. Results of nstrumental test of texural proporties showed that hardness increased and cutting decreased as soaking time increased without significant differences between oligosaccharide Yak-kwa and honey Yak-kwa. Accepance test by sensoty panel showed no significant differences between oligosaccharid Yak-kwa and honey Yak-kwa.

신경망 자율 적응 제어를 이용한 발전기의 전압제어

박왈서(Wal-Seo Park),오훈(Hun Oh),유석주(Seok-Ju Yoo),라성훈(Seong-Hoon La) 한국조명·전기설비학회 2009 조명·전기설비학회논문지 Vol.23 No.2

PI제어기는 발전기의 전압제어 시스템에 널리 쓰이고 있다. 하지만 발전 시스템의 특성이 연속적으로 변화할 때, 새로운 PI매개변수를 결정하는 것이 쉽지 않다. 이를 해결하기 위하여 본 논문에서는 발전기의 전압제어에 신경망 자율 적응 제어를 이용하는 제어 방법을 제안하였다. 전압제어 시스템의 적절한 연속적인 궤환 제어 이득은 델타 학습 규칙에 의해서 결정된다. 제안된 제어 방법의 기능은 직류 발전기 전압제어 실험에 의해 확인하였다. PI controller is widely used as voltage control system of generator. However when a generator system has various characters of continuance, a new PI parameter decision for accurate control is a hard task. as method of solving this problem, in this paper, the method to generator voltage control using Neural Network self adaptive control is presented. A property continuous feedback control gain of voltage control system is decided by a rule of delta learning. The function of proposed control method is verified by voltage control experiment results of DC generator.

궤환 제어시스템의 강인성 증진을 위한 미분 관리제어기

朴曰緖(Wal-Seo Park) 대한전기학회 2003 전기학회논문지 B Vol.52 No.8

Crystal-like Growth of a Metal Oxide/CNT Composite Fiber with Electroplated “Seed” from a CNT-Dispersed Nonaqueous Electrolyte

Kim, Wal Jun,Jang, Eui Yun,Seo, Dong Kyun,Kang, Tae June,Jin, Kyoung Cheol,Jeong, Dae Hong,Kim, Yong Hyup American Chemical Society 2010 Langmuir Vol.26 No.20

<P>A fabrication technique is developed for the preparation of metal oxide/CNT composites. An essential feature of the technique lies in the use of nonaqueous electrolyte in place of the usual aqueous electrolyte, which ensures well-dispersed CNTs without surfactants. After a “seed” is formed by electroplating on the anode, the seed is simply pulled up at a certain speed to grow a 1D CNT composite structure. The technique leads to a uniform distribution of metal oxide and a high weight fraction of CNT in the composite structure. Moreover, the conductivity of the composite is much higher than that of the CNT fibers fabricated with polymer.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/langd5/2010/langd5.2010.26.issue-20/la101358q/production/images/medium/la-2010-01358q_0006.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/la101358q'>ACS Electronic Supporting Info</A></P>

미분 관리제어기를 이용한 직류 전동기의 강인제어

박왈서,이성수,유인호 원광대학교 공업기술개발연구소 2002 工業技術開發硏究誌 Vol.22 No.-

Robust control for servo control system in needed according to the highest precision of industrial automation. However, when a servo control system has an effect of disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem, in this paper, Hybrid control method of Main controller(PID)-Differential Supervisory controller is presented. Main controller is operated as a feedback controller. Differential Supervisory controller as a assistant controller is operated when state in unstable by disturbance. The robust control function of Differential Supervisory controller in demonstrated by Speed control of DC Motor.

규칙 기반을 이용한 PID 제어기의 자동 동조에 관한 연구

박왈서 원광대학교 공업기술개발연구소 1994 工業技術開發硏究誌 Vol.14 No.-

In this Paper, some rule for auto-tuning of PID controller in variable load are presented. The parameter of PID controller are decided by heuristic rules based on input regulation experiment according to variable load. The supervision rules are made up of logics for load variation. and tuning rules are made up of logics for tuning purpose according to load variation. By auto-tuning of appropriate control parameter according to load variation, PID controller makes it possible to compensate for the effect of load variation. The accurate control function is confirmed by computer simulation.

신경망이득 자동조절기를 이용한 유도모터 속도 제어

박왈서,김용욱,이성수,Park, Wal-Seo,Kim, Yong-Wook,Lee, Sung-Su 한국조명전기설비학회 2006 조명·전기설비학회논문지 Vol.20 No.7

PID 제어기는 산업자동화 설비에 널리 쓰이고 있다. 하지만 시스템 특성이 간헐 또는 연속적으로 변화할 때에 정밀제어를 위한 새로운 매개변수 결정이 쉽지 않다. 이를 해결하기 위한 방법으로 본 논문에서는 PID 제어기와 같은 기능을 갖는 신경망이득 자동조절기를 제안 하였다. 시스템의 적절한 궤환제어 이득은 델타 학습규칙에 의해서 결정된다. 제안된 신경망이득 자동조절기의 기능은 유도 전동기의 속도제어 실험에 의해 확인하였다. 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.

서보 시스템의 강인제어를 위한 퍼지 레귤레이터

박왈서,오훈,이주장,Park, Wal-Seo,Oh, Hun,Lee, Ju-Jang 한국조명전기설비학회 1994 조명.전기설비 Vol.8 No.1

PID 제어기는 많은 서보 제어 시스템에 사용되고 있다. 하지만 제어 시스템이 외란이나 시변특성을 가졌을 때 시스템의 강인제어가 어렵게 된다. 이에 대한 보완적인 한 방법으로 본 논문에서는 PID 제어기가 퍼지 레귤레이터를 갖는 제어기법을 제시하였다. 퍼지 레귤레이터는 에러와 에러 변화분에 의해서 설계되며, k번째 제어 입력은 k번째와(k-1)번째 비퍼지화 값의 덧셈에 의해 결정된다. 제어입력은 입력측에 전달된다. 퍼지 레귤레이터에 의한 강인한 제어기능은 시뮬레이션에 의해 확인하였다. PID controller is being used in many servo control systems. However, when a control system has disturbance or time variable characteristic, it is very difficult to guarantee the robustness of the system. In the way of solving this problem, in this paper, a control method using the PID controller with Fuzzy Logic Regulator is presented. Fuzzy Logic Regulator is designed by error and error change, the kth sampling control input is decided by the addition of the kth sampling defuzzification value and the (k-l)th sampling defuzzification value. Control input is transmitted to input. The robust control function of Fuzzy Logic Regulator is demonstrated by the computer simulation.

서보 제어시스템에서 미분 관리제어기의 강인성에 관한 연구

박왈서,이성수,오훈,Park, Wal-Seo,Lee, Sung-Soo,Oh, Hoon 한국조명전기설비학회 2003 조명·전기설비학회논문지 Vol.17 No.1

산업 자동화의 고정밀도에 따라 서보 제어시스템은 강인제어가 요구되고 있다. 그러나 서보 제어시스템이 외란의 영향을 받게 되면 제어시스템의 강인제어는 어렵게 된다. 이에 대한 보완적인 한 방법으로 본 논문에서는 주 제어기(PID)와 미분 관리제어기의 혼합형 제어기법을 제시하였다. 주 제어기는 궤환제어기로서 동작하고, 미분 관리제어기는 외란에 의한 불안정한 상태에서 보조적인 동작을 한다. 미분 관리제어기의 강인성은 전통기의 속도제어에 의해서 확인하였다. Robust control for servo control system in needed according to the highest precision of industrial automation. However, when a servo control system has an effect of disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem in this paper, Hybrid control method of Main controller(PIU)-Differential Supervisory controller is presented. Main controller is operated as a feedback controller. Differential Supervisory controller as a assistant controller is operated when state in unstable disturbance. The robust control function of Differential Supervisory controller is demonstrated by Speed control of Motor.