• Smart Structures and Systems
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• 제10권1호
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• pp.15-31
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• 2012

This study proposes an active control method to suppress beam-rotating machinery system vibrations. The present control method is a combination of the fuzzy input estimation method (FIEM) and linear quadratic Gaussian problem (LQG) algorithms. The FIEM can estimate the unknown input and optimal states by measuring the dynamic displacement, the optimal estimated states into the feedback control; thereby obtaining the optimal control force for a random linear system. Active vibration control of a beam-rotating machinery system is performed to verify the feasibility and effectiveness of the proposed algorithm. The simulation results demonstrate that the proposed method can suppress vibrations in a beam-machine system more efficiently than the conventional LQG method.

• 디자인학연구
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• 제17권3호
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• pp.441-448
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• 2004

유비쿼터스 컴퓨팅 환경이 보급되면서 모바일 기기는 인간과 주변 환경간의 인터페이스 기기로서, 사용자와 정보를 주고받는 휴대용 단말의 역할을 할 것으로 예상된다. 모바일 기기에서 정보 검색을 위해서는 네비게이션 외에 특정의 문자열을 포함하는 정보를 입력할 수 있어야 하므로, 제한된 크기와 면적 내에서 효율적인 문자입력 방식을 선택해야 한다. 기존 의 펜입력, 숫자 키패드에 의한 문자 조합 등의 입력방식은 사용자에게 불편을 주고 있다. 본 연구는 모바일 기기에서의 문자 입력을 위해 영상입력을 통한 가상키보드 방식을 제안하고자 하며, 기존 방법과의 비교를 통해 유효성을 검증하고자 한다. 이를 위해 영상입력을 통해 커서를 조작하는 가상 키보드 프로토타입을 제작하고 기존의 문자입력 방식과 비교하여 새로운 인터랙션 방법으로서의 적용 가능성을 검토한다. 본 연구에서 제시하는 방법은 휴대폰이나 PDA와 같은 소형 모바일 기기의 내장 카메라를 이용하여 문자 입력을 하기 위한 대안적 방법으로 활용이 가능하며, 문자 입력을 위한 하드웨어 부분을 제거함으로써 기존 제품보다 소형의 디자인이 가능할 것으로 기대된다. 한편, 영상입력을 통한 커서의 조작 방식은 컨텐츠에서의 네비게이션에도 적용할 수 있을 것으로 본다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.927-932
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• 2007

This paper proposes a robust back-stepping control with polynomial-type PD input for flexible joint robot manipulators to overcome parameter uncertainty. In the first step, a fictitious control is designed with polynomial-type PD input for the rigid link dynamic by the H-infinity control method. In second and third steps, the other fictitious control and real control are designed using saturation control and polynomial-type PD input based on the Lyapunov's second method. In each step, the designed robust inputs satisfy the L2-gain, which is equal to or less than gamma in the closed loop system. In contrast with the previous researches, the proposed method proves performance relations with PD gain from the robust gain. The performance robustness of the proposed control is verified through a 2-DOF robot manipulator with joint flexibility.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2562-2567
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• 2005

This paper suggests a new method discretization of nonlinear system using Taylor series expansion and zero-order hold assumption. This method is applied into the sampled-data representation of a nonlinear system with input time delay. Additionally, the delayed input is time varying and its amplitude is bounded. The maximum time-delayed input is assumed to be two sampling periods. Them mathematical expressions of the discretization method are presented and the ability of the algorithm is tested for some of the examples. And 'hybrid' discretization scheme that result from a combination of the ‘scaling and squaring' technique with the Taylor method are also proposed, especially under condition of very low sampling rates. The computer simulation proves the proposed algorithm discretized the nonlinear system with the variable time-delayed input accurately.

• Journal of Power Electronics
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• 제10권4호
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• pp.428-433
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• 2010

This paper proposes a harmonics reduction technique for the input currents of three phase PWM converters. The quality of the phase angle information on the utility voltage connected to the PWM converters affects their control performance. Under a distorted utility voltage, the extracted phase angle based on the synchronous reference frame PLL method is distorted. This causes large harmonics in the input currents of a PWM converter. In this paper, a harmonics reduction method that makes the input currents in the PWM converter sinusoidal even under distorted utility conditions is proposed. By the proposed method, without additional hardware, the THD (Total Harmonic Distortion) of the input currents can be readily limited to below 5% which is the harmonic current requirements of IEEE std. 519. Its validity is verified by simulations and experimental results.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.518-519
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• 2014

최근 기술의 발달에 의하여 펜을 입력 방식의 스마트폰이 등장하고 있다. 이러한 스마트폰은 손을 이용한 터치방식과 동시에 펜을 입력도구로 하는 입력방식을 채택하고 있다. 본 연구는 스마트폰에서 펜 방식과 터치 방식간의 사용자 선호도를 알아보기 위하여 사용성 평가를 실시하였다. 이를 위하여 초보자 5명, 전문가 5명을 모집하였다. 모든 참가자들에게 터치방식의 과제와 펜 방식의 과제를 순차적으로 제시하였다. 본 연구는 예행연습과 같은 초기 연구로서 과제수행후 구조화되지 않은 인터뷰를 실시하였다. 그 결과, 제시된 과제의 성격에 따라 영향을 받는 것을 발견하였지만 전반적으로 터치방식을 선호하는 것이 발견되었다. 특히 초보자 집단이 펜 방식을 선호하는 것으로 나타났다. 본 연구결과는 펜 입력 방식의 확장성에 어떠한 시사점이 있는지, 이를 통한 제품개발에 중요한 디자인 가이드라인을 제시 할 것으로 기대된다.

• 제어로봇시스템학회논문지
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• 제6권12호
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• pp.1045-1052
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• 2000

In this paper, we propose a method to apply the Input Shaping Technique (IST) to multi-input multi-output (MIMO) systems. In MIMO systems, there is a high possibility of multi-mode residual vibration. The IST filter designed for this multi mode may need a longer time to suppress the residual vibration. Previous works prove that we can shorten the time lag by using negative sequence. This negative sequence, however, causes another problem - it requires excessive control input. In this paper, we provide a remedy to reduce the size of control input by limiting the reference input by limiting the reference input and its derivative. The result of simulations and experiments on a 2 link flexible arm confirmed the effectiveness of the proposed method.

• Journal of Electrical Engineering and Technology
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• 제11권2호
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• pp.309-319
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• 2016

This paper presents a new recognition and classification method for power quality (PQ) disturbances on the basis of pattern linguistic values. This method solves the difficulty of recognizing disturbances rapidly and accurately by using fuzzy logic. This method uses classification disturbance patterns to define the linguistic values of fuzzy input variables and used the input variables of corresponding disturbance pattern to set membership functions. This method also sets the fuzzy rules by analyzing the distribution regularities of the input variable values. One characteristic of this method is that the linguistic values of fuzzy input variables and the setting of membership functions are not only related to the input variables but also to the character of classification disturbance and the classification results. Furthermore, the number of fuzzy rules is equal to the number of disturbance patterns. By using this method for disturbance classification, the membership function and design of fuzzy rules are directly related to the objective of classification, thus effectively reducing the complexity of the design process and yielding accurate classification results. The classification results of the simulation and measured data verify the feasibility and effectiveness of this method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2216-2218
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• 2002

A system identification is to measure the output in the presence of a adequate input for the controlled system and to estimate the mathematical model in the basic of input output data. In the system identification, it is possible to estimate the true parameter values by the adjusted least squares method in the input-output case of no observed noise, and it is possible to estimate the true parameter values by the total least squares method in the input-output case with the observed noise. In recent the adjusted least squares method is suggested as a consistent estimation method in the system identification not with the observed noise input but with the observed noise output. In this paper we have developed the adjusted least squares method from the least squares method and have made certain of the efficiency in comparing the estimating results with the generating data by the computer simulations.

• 대한기계학회논문집
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• 제18권8호
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• pp.1997-2004
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• 1994

A model analysis method has been developed in the paper. The method estimates the modal parameters of multiple input-output systems, assesses their quality, and seperates structural modes form computation ones. The modal parameter extraction algorithm is the least squares method with a finite difference model relating input and output time data. The quality of the estimated system model can be assessed in narrow frequency bands by comparing the measured and model predicted responses in time domain with the aid of digital filters. Structural modes can be effectively separated from computational ones using the convergence factor which represents the pole convergence rate. The modal analysis method has been applied to simulated and experimental vibration data to evaluate its utility and limitations.