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신휘범 慶尙大學校 工科大學 自動化및컴퓨터應用技術硏究所 1994 自動化 및 컴퓨터應用技術 Vol.1 No.1
전압원 인버터의 전류제어를 위한 새로운 방식의 예측형 전류제어기가 제안되고, 이를 유도 전동기의 자속기준제어를 위한 회전자자속 추정기 설계에 이용한다. 본 전류제어기로부터 최소화된 전류맥동 및 최소화된 offset 전류를 얻을 수 있으며, 또한 회전자 저항변화에 강인한 자속 추정기로부터 파라메타에 둔감한 자속기준제어를 얻을 수 있다.
고정자 전압오차의 적분궤환을 이용한 유도전동기의 회전자 자속관측기 설계
愼輝範 慶尙大學校生産技術硏究所 1993 生産技術硏究所論文集 Vol.9 No.-
The rotor flux observer is proposed for an induction motor controlled by the direct field oriented control technique. The stator voltage vector is predicted as an output vector and is compared with the measured stator voltage vetor. The stator voltage error is integrated and fed back to the rotor flux observer. With the proposed observer, the fast error convergence rate can be obtained and the estimation error due to the parameter variations can be reduced. Thus, the torque response can be largely improved.
Syntactic-Semantics 방법에 신경망을 결합한 온라인 한글 필기체 인식
박두일,조범석,유재휘 명지대학교 공학기술연구소 1993 공학기술연구소 논문집 Vol.8 No.-
This paper presents a cursive on-line handwritten Hangul recognition model which permits cursive writing between graphemes. Add semantics to the basic stroke types possessed by graphemes and expand stroke types. Also, by the design of attribute grammer more accurate feature values will be elicited. The combination of the feature values with genetic algorithm and BP will improve the neural networks model, and this type of learning will increase the recognition rate and reduce the learning time. In this paper, this new on-line handwritten Hangul recognition model is proposed.
다상 교호 승압컨버터의 인덕터 커플링에 따른 소신호 교류 해석
장은승,신휘범 慶尙大學校 經營行政大學院 2004 工學硏究院論文集 Vol.20 No.-
This paper addresses the small-signal ac analysis of the multi-phase interleaved boost converter with the coupled inductors operated in the continuous inductor current mode. The analytical expressions for the transfer functions of interest are derived for various inductor couplings. The dynamic characteristics are analyzed according to the inductor couplings and verified experimentally.
강익호,김정욱,신휘범,이정훈,고상호 慶尙大學校生産技術硏究所 1997 生産技術硏究所論文集 Vol.13 No.-
In this paper, the dynamics of actuators for generating the input of plants is considered in a design of the variable structure systems. While the input for plants is usually implemented by means of a certain actuator, the actuator dynamics is not incorporated in most of the VSS researches until now. The control algorithm of a VSS incorporating actuator dynamics is presented. and the simulation is given the usefulness of the algorithms.
3상 유도전동기 구동을 위한 전압원 인버터의 새로운 과변조 PWM 기법
신흥교,박종규,김봉식,신휘범 慶尙大學校 工科大學 自動化및컴퓨터應用技術硏究所 1997 自動化 및 컴퓨터應用技術 Vol.4 No.1
The novel PWM(pulsewidth modulation) strategy of three-phase voltage source inverter in the overmodulation range is proposed. Generally, the space vector PWM strategy in the overmodulation range is widely utilized due to its simple and effective digital implementation and increased voltage transfer ratio. A unique algorithm manages the transition form the onset of overmodulation to six-step operation. This proposed technique maximizes the utilization of the dc-link voltage and maintain the voltage linearity between the reference and output voltages, and it decreases the necessary memory quantity for the look-up table of the angle.
Modeling and Parameter Identification of Coal Mill
Hwi-Beom Shin,Xin-lan Li,In-Young Jeong,Jong-Man Park,Soonyoung Lee 전력전자학회 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.5
The coal mill used in the coal-fired power plants is modeled in view of the controller design rather than the educational simulator. The coal mass flow and the outlet temperature are modeled by reinvestigating the mass balance and heat balance models physically. The archived data from a plant database are utilized to identify the model parameters. It can be seen that the simulated model outputs are well matched with the measured ones. It is also expected that the proposed model is useful for the controller design.
딥러닝 기반 라이다 오도메트리를 활용한라이다/관성 복합 항법 알고리즘 연구
손현진,고은학,성상경 제어·로봇·시스템학회 2020 제어·로봇·시스템학회 논문지 Vol.26 No.9
As lidar has become one of the primary sensors for autonomous robots, interest in lidar-based sensor fusion and navigation has increased. In this paper, we propose an integrated navigation algorithm that combines an inertial navigation system and deep learning-based lidar odometry. We first developed a deep learning neural network for lidar odometry estimation. The network can estimate the relative pose by using consecutive lidar scans as an input. We then designed an extended Kalman filter that uses inertial sensors for the prediction step and lidar odometry for the correction step. To demonstrate the estimation accuracy of the algorithm, we used both the KITTI dataset and a drone flight simulator. .
최범휘(Beom-Hwi Choi),이재준(Jae-Jun Lee),한현택(Hyeon-Taek Han),최연웅(Yeon-Ung Choi),조우성(Woo-seong Cho),이해연(Hae-Yeoun Lee) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.11
사람 음성 활동 감지는 스마트 홈이나 자동차 등 다양한 응용 분야에서 활용될 수 있으며, 딥러닝 기술을 이용한 연구들도 수행되고 있다. 본 논문에서는MobileNet 딥러닝 모델을 이용하여 사운드 세그먼트에 사람음성 활동이 있는지 검출하는 모델을 제안한다. 사운드 세그먼트의 MFCC 특징 추출을 위하여 MFCC 특징을 추출하였고, CNN 기반의 모델들보다 연산 복잡도가 최소화되고 의미있는 특징 데이터를 학습할 수 있는 MobileNet을 도입하여 최적화를 수행하였다. 이를 통하여 95.52% 정확도로 사람 음성 활동 여부를 검출하였다. Voice activity detection of human can be used in various applications such as smart homes and automobiles, and researches using deep learning technology are being conducted. In this paper, we propose a voice activity detection model of human in sound segments using MobileNet. The MFCC features were extracted as features of the sound segments. Also, MobileNet, which has lower computational complexity than CNN-based models and can learn meaningful features, is applied and optimized. As a result, voice activity detection was performed with 95.52% accuracy.