• 전자공학회논문지SC
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• 제37권1호
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• pp.10-18
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• 2000

본 논문에서는 2축 서보시스템에 적용하기 위한 새로운 윤곽 모델링을 이용하여 퍼지논리형 상호결합제어기를 제안한다. 일반적인 각 축 독립제어기는 각 축의 동적 변수와 루프 이득의 불일치로 인해 윤곽 성능을 감소시킨다. 실제적으로 이러한 시스템은 많은 불확실성도 보유하고 있다. 상호결합제어기는 정확한 윤곽을 구하기 위해 모든 축의 위치 오차 정보를 동시에 이용한다. 그러나 일반적인 상호결합제어기는 마찰, 백래쉬 그리고 매개변수 변화를 극복하지 못한다. 또한 정확한 다축 시스템의 수학적 모델을 얻기 힘들기 때문에 서보시스템의 퍼지논리형 상호결합제어기를 제안한다. 이와 더불어 새로운 윤곽 오차 벡터 계산법을 제시한다. 제안한 알고리즘의 성능을 검증하기 위해 실험결과를 나타낸다.

• 한국지능시스템학회논문지
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• 제5권1호
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• pp.25-32
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• 1995

In this paper, the FLVSC (Fuzzy Logic Variable Structure controller), of which control rules are extracted from the concepts of the VSC(Variable Structure control) is proposed and diesgned for drum motor(BLDC motor) in home VCR. The FLC (Fuzzy Logic Controller) based on linguistic rules has the advantages of not needing of some exact mathermatical model for plant to be controlled. The proposed method has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of distrubances, parameter variations and uncertainites in a sliding mode. In addition, the method has the properties of the FLC-noise rejection capability etc. The computer simulation and experiment using DSP(TMS320C30) have been carried out for the servo control of VCR drum motor to show the usefulness of the proposed method.

• 제어로봇시스템학회논문지
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• 제7권2호
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• pp.125-130
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• 2001

This paper presents an indirect field-oriented (IFO) induction motor position servo drives which uses the model following adaptive controller with the artificial neural network(ANN)-based rotor resistance estimator. The model reference adaptive system(MRAS)-based 2-layer ANN estimates the rotor resistance on-line and a linear model-following position controller is designed by using the estimated the rotor resistance value. At the end, a fuzzy logic system(FLS) is added to make the position controller robust to the external disturbances and the parameter variations. The simulation results show the effectiveness of the proposed method.

• 한국지능시스템학회논문지
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• 제17권1호
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• pp.52-57
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• 2007

본 논문은 실시간 음성인식명령으로 구동되는 지능형 이동기제어시스템을 제안한다. 제안된 이동기제어시스템은 메인모듈, 음성인식모듈, 모터구동모듈, 센서모듈로 구성된다. 80C196KC로 구현된 메인모듈에서 퍼지논리가 적용된 지능형 제어시스템을 제안한다. 사용자의 몸무게 및 여러 가지 주변 환경요인들에 의한 비선형성을 개선하기 위해서 피드백제어가 가능한 모터구동모듈과 센서모듈이 구현된다. 또한 제안된 시스템에서 이동로봇의 제어를 위한 9개의 단어를 사용하여 동작을 테스트하였고, 제어입력으로 음성명령과 조이스틱 사용 시 이동로봇의 성능을 평가하였다.

• 융합신호처리학회논문지
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• 제8권3호
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• pp.222-226
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• 2007

본 연구에서는 응답의 과도영역에서 특징점의 각 영역과 $e-{\Delta}e$ 위상평면을 이용하여 이중 퍼지룰을 구성하였다. 구성된 퍼지 제어룰은 기본 퍼지제어 룰에 비해 상승시간, 지연시간, 최대오브슈트 등을 줄일 수 있었으며 퍼지 룰의 제안방법은 $e-{\Delta}e$ 위상평면에서 하나의 퍼지룰은 과도영역에서 정상상태오차를 일으키고 다른 퍼지 제어 룰은 정상상태오차를 감소시키고 수렴영역에서 빠르게 수렴하도록 교대로 사용한다. 또한 $e-{\Delta}e$ 위상평면에서의 두 개의 퍼지 룰은 플랜트의 응답 특성에 따라 교체시기를 결정한다. DSP 프로세서를 사용하는 유압서보 모터 제어시스템을 통한 실험의 결과로서 제안된 이중 퍼지 제어 룰은 기본 퍼지 제어 룰에 비해 빠른 상승시간, 정정시간등 양호한 응답을 얻을 수 있음을 확인하였다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2008년도 춘계학술대회 논문집
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• pp.440-444
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• 2008

The 7-phase BLDC motor is possible for higher efficiency per the unit area, high power and high speed due to the increasing number of phase. Also, it can be looking forward to reduce the current ripple at a point of commutation by the increasing number of phase. Thus, a study for applications of servo system, medical and military instruments is progressing about the BLDC motor is manufactured with multi-phase, currently. This paper is used the fuzzy logic control method for speed control of 7-phase BLDC motor and this is compared with the conventional PI controller using by simulation and experimental results for verification validity of the fuzzy logic controller in this system. The 7-phase BLDC motor and controller are modeled by PSIM6.0 software of PowerSim co. in simulation and we are experimented by the test board that is composed with TMS320VC33-150 DSP controller of Texas Instruments co. and FLEX EPF6016TC144-3 of ALTERA co.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.588-590
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• 1999

In this paper the design method of a fuzzy logic controller with a genetic algorithm is proposed. Fuzzy logic controller is based on linguistic descriptions(in the form of fuzzy IF-THEN rules) from human experts. The auto-tuning method is presented to automatically improve the output performance of controller utilizing the genetic algorithm. The GA algorithm estimates automatically the optimal values of scaling factors and membership function parameters of fuzzy control rules. Controllers are applied to the processes with time-delay and the DC servo motor. Computer simulations are conducted at the step input and the output performances are evaluated in the ITAE.

• Journal of Power Electronics
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• 제13권1호
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• pp.139-160
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• 2013

In this paper, an intelligent robust control system (IRCS) for precision tracking control of permanent-magnet synchronous motor (PMSM) servo drives is proposed. The IRCS comprises a recurrent wavelet-based interval type-2 fuzzy-neural-network controller (RWIT2FNNC), an RWIT2FNN estimator (RWIT2FNNE) and a compensated controller. The RWIT2FNNC combines the merits of a self-constructing interval type-2 fuzzy logic system, a recurrent neural network and a wavelet neural network. Moreover, it performs the structure and parameter-learning concurrently. The RWIT2FNNC is used as the main tracking controller to mimic the ideal control law (ICL) while the RWIT2FNNE is developed to approximate an unknown dynamic function including the lumped parameter uncertainty. Furthermore, the compensated controller is designed to achieve $L_2$ tracking performance with a desired attenuation level and to deal with uncertainties including approximation errors, optimal parameter vectors and higher order terms in the Taylor series. Moreover, the adaptive learning algorithms for the compensated controller and the RWIT2FNNE are derived by using the Lyapunov stability theorem to train the parameters of the RWIT2FNNE online. A computer simulation and an experimental system are developed to validate the effectiveness of the proposed IRCS. All of the control algorithms are implemented on a TMS320C31 DSP-based control computer. The simulation and experimental results confirm that the IRCS grants robust performance and precise response regardless of load disturbances and PMSM parameters uncertainties.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.79-82
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• 1997

The current from the feed motor of a machine tool contains substantial information about the machining state. There have been many researches that investigated the current as a measure for the cutting forces. However it has not been reported that indirect measurement of the cutting forces from the current of the feed motor at rest is possible. The cutting force normal to the machined surface influences the machined surface of the workpiece, which makes it necessary to estimate this force to control the roughness of the machined surface. But the unpredictable behavior of the current prevents applying the current to prediction of the cutting state. In this paper, empirical approach was conducted to resolve the problem. Also parametric adaptive and fuzzy logic control strategies are applied to the force regulation problem. As a result, the current is shown to be related to the accumulation of the infinitesimal rotation of the motor, and besides the unpredictable behavior of the current is shown to be caused by the relationship. Subsequently the relationship between the current and the cutting force is identified, and it is presented that control of machined surface using the current of the feed motor at rest is possible.

• International Journal of Contents
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• 제11권4호
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• pp.70-76
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• 2015

The development of technology provides and increases security as well as convenience for humans. The development of new technology directly affects the standard of life thanks to smart home automatic control systems. This paper describes a door control, automatic curtain, home security (CCTV, fire, gas, safe, etc.), home control (energy, light, ventilation, etc.) and web-based smart home automatic controller. It also describes the use of ARM (Advanced RISC Machines) for automatic control of home equipment, a Multi-Axes Servo Controller using FPGA (Field Programmable Gate Array) and PLC (programmable logic controller). Additionally, it describes the development of a HTML editor using web auto control software. The tab loading time (7 seconds) is faster when using ARM-based web browser software instead of Chrome and Firefox is used because the browser has a small memory footprint (300M). This system is realized by web auto controller language which controls and uses PLCs that are easier than existing devices. This smart home automatic control technology can control smart home equipment anywhere and anytime and provides a remote interface through mobile equipment.