• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• 제5B권4호
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• pp.350-357
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• 2005

This paper presents a mechanical sensorless vector-controlled system with parameter identification by the aid of image processor. Based on the flux observer and the model reference adaptive system method, the proposed sensorless system includes rotor speed estimation and stator resistance identification using flux errors. Since the mathematical model of this system is constructed in a synchronously rotating reference frame, a linear model is easily derived for analyzing the system stability, including motor operating state and parameter variations. Because it is difficult to identify rotor resistance simultaneously while estimating rotor speed, a low-accuracy image processor is used to measure the mechanical axis position for calculating the rotor speed at a steady-state operation. The rotor resistance is identified by the error between the estimated speed using the estimated flux and the calculated speed using the image processor. Finally, the validity of this proposed system has been proven through experimentation.

• 전자공학회논문지SC
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• 제49권4호
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• pp.61-68
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• 2012

본 논문에서는 리니어 컴프레서를 위한 폐루우프 센서리스 스트로크 제어시스템이 구성되었다. 피스톤 위치를 정확히 알아내기 위해 모터 매개변수를 피스톤 위치와 모터 전류의 함수로 추정하였다. 이 매개변수 데이터는 ROM 테이블에 저장한 뒤 차 후 피스톤 위치를 정확히 알아내는데 사용된다. 또한, 추정된 전동기 매개변수의 데이터 크기를 줄이기 위해 여러 형태의 곡면 함수로 근사화 하는 작업을 수행하였고, 공간분할을 통해 추정오차를 줄일 수 있었다. 곡면함수의 차수와 공간분할의 개수가 매개변수의 추정오차와 연산시간에 미치는 영향을 분석하였다.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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• pp.262-267
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• 2005

PID controller is widely used in industries until now. The reason is that the structure is very simple, and that it is easily estimated in terms of hardware, and that it doesn't need a lot of parameters which should be tuned. Therefore, DC motor also uses PID controller. In this paper, a method is proposed to identify parameters of a DC motor system using a RCGA prior to design of PID controller. The model identified using a RCGA is verified through simulations.

• 전력전자학회논문지
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• 제6권1호
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• pp.90-97
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• 2001

본 논문에서는 시스템의 광성 추정에 의한 가속도 전향보상 방법을 이용한 새로운 속도제어 기법을 제안한다. 제안된 가속도 전향보상 방법에 의해 속도제어기의 대역폭을 충분히 크게 할 수 없는 백터제어 유도전동기 구동시스템에서 속도제어 성능을 향상시킬 수 있고, 외란 토크에 대한 속도회복특성도 개선될 수 있다. 3.7kW 유도전동기 구동시스템에 대한 시뮬레이션과 실험을 통해 제안된 기법의 타당성을 확인하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 B
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• pp.991-993
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• 2000

The paper presents the software control of a brush-less do motor with parameter identification. Not only speed and current controls but also a real-time identification of the motor parameters can be implemented by software using the digital signal processor TMS320F240. The DSP Controller TMS320F240 from Texas Instruments is suitable for a wide range of motor drives TMS320F240 provides a single chip solution by integrating on-chip not only a high computational power but also all the peripherals necessary for electric motor control. This new family of DSPs enables single chip, cost effective, modular and increased performance solutions for BLDC drives. The present paper describes how a speed controlled brushless DC drive can be implemented using TMS320F240 and what kind of results can be achieved.

• Journal of international Conference on Electrical Machines and Systems
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• 제2권2호
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• pp.184-189
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• 2013

This paper proposes a method for improving the performance of a position sensorless control system for a slotless surface permanent magnet synchronous motor (SPMSM) in a very low-speed region. In position sensorless control based on a motor model, accurate motor parameters are required because parameter errors would affect position estimation accuracy. Therefore, online parameter identification is applied in the proposed system. The error between the reference voltage and the voltage applied to the motor is also affect position estimation accuracy and stability, thus it is compensated to ensure accuracy and stability of the sensorless control system. In this study, two voltage error compensation methods are used, and the effects of the compensation methods are discussed. The performance of the proposed sensorless control method is evaluated by experimental results.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2007년도 하계학술대회 논문집
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• pp.325-327
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• 2007

This paper proposes a novel sensorless fault detection algorithm for a brushless DC(BLDC) motor drive system. This proposed method is configured without the additional sensor for fault detection and identification. The fault detection and identification are achieved by a simple algorithm using the operating characteristic of the BLDC motor. This proposed method can also be embedded into existing BLDC motor drive systems as a subroutine without excessive computational effort. The feasibility of a novel sensorless fault detection algorithm is validated in simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 심포지엄 논문집 정보 및 제어부문
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• pp.199-200
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• 2008

Demand for reliability and safety in modem systems has been increased in the research on fault detection and isolation. At traditional approaches to fault detection, redundant sensors have been used. More advanced methods are the residual analysis of signals which are created by the comparison between the actual plant behavior and the output response of a mathematical model. However, mathematical system models are difficult to obtain by using physical laws. These problems can be solved by system identification. In this paper, the transfer function of a direct current motor is estimated by using the system identification. And, the efficiency of the fault detector design is verified by using experiments.

• Journal of Electrical Engineering and Technology
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• 제4권3호
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• pp.365-369
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• 2009

Identification is considered to be among the main applications of inverse theory and its objective for a given physical system is to use data which is easily observable, to infer some of the geometric parameters which are not directly observable. In this paper, a parameter identification method using inverse problem methodology is proposed. The minimisation of the objective function with respect to the desired vector of design parameters is the most important procedure in solving the inverse problem. The conjugate gradient method is used to determine the unknown parameters, and Tikhonov's regularization method is then used to replace the original ill-posed problem with a well-posed problem. The simulation and experimental results are presented and compared.

• Journal of Electrical Engineering and Technology
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• 제8권5호
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• pp.1049-1055
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• 2013

DC motors are widely used in industries like cement, paper manufacturing, etc., even today. Early fault identification in dc motors significantly improves its life time and reduces power consumption. Many conventional and soft computing techniques for fault identification in DC motors including a recent work using model based analysis with the help of fuzzy logic are available in literature. In this paper fuzzy logic and norm based wavelet analysis of startup transient current are proposed to identify and quantify the armature winding fault and bearing fault in DC motors, respectively. Results obtained by simulation using Matlab and Simulink are presented in this paper to validate the proposed work.