• 대한전기학회논문지:시스템및제어부문D
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• 제53권5호
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• pp.338-344
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• 2004

This paper presents a sensorless speed control of a DC servo motor using a fuzzy-sliding observer in the presences of load disturbances. A fuzzy-sliding observer is proposed in order to estimate the speed of a motor rotor. First, a sliding observer is used to estimate the derivative of the armature current directly using the armature current mesured in the DC servo motor. Second, the optimal gain of the Luenberger observer is set up using the fuzzy control. Experimental results show the good performance in the DC servo motor system with the proposed fuzzy-sliding observer.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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• pp.55-58
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• 2003

A LQ-servo PI controller is proposed to deal with the uncertainty caused variations of load inertia of direct drive do motor by using loop shaping technique.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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• pp.28-31
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• 1988

This paper proposes a new linear adaptive position controller of DC servo motor. The proposed method can improve the drive performance and rapidly reject the state error caused by both parameter variations and force disturbance. The structure of this adaptive control method is based multiloop feedback control and model reference control. Simulation results are presented to verify the improved response when parameter variations and load disturbance give relatively significant effects to the servo system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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• pp.29-32
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• 1989

This paper proposes new position control method for DC servo motor by PI controller adopting sliding mode control. By adding sliding mode controller to conventional PI controller good robustness is obtained with good transient response and no steady state error which are merits in PI controller. In order to use microprocessor for digital control the principles of sliding mode control conventionally explained in continous-time system are extended to discrete-time system.

• 한국조명전기설비학회지:조명전기설비
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• 제6권4호
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• pp.60-68
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• 1992

In this paper, an implementation approach of Fuzzy Position Controller for DC servo motor which requires the faster and more accurate dynamics is presented. Fuzzy position controller implemented with 80286 microprocessor and DT 2801 board consists of an adjustment routine of optimal scale factors and a Fuzzy inference routine of optimal control signals. Comparison to conventional PD controllers, the control performances of proposed Fuzzy controller such as reaching time, overshoot, and disturbance adaptability are substantially improved.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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• pp.61-64
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• 1988

This paper deals with some aspects for the design of induction servomotors with respect to permanent magnet servomotors and standard induction motors as control components. Induction servomotors have much lower weight and moment of inertia than the DC servomotor but cannot reach the excellent values of a brushless DC servomotor with rare earth magnets.

• 한국정보통신학회논문지
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• 제10권9호
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• pp.1617-1624
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• 2006

본 논문은 분산전원시스템(DGS)을 위 한 시스템 모델링, 수정된 SVPWM 적용 그리고 수동소자인 L과 C로 구성된 Z-원 인버터의 제어기에 대하여 기술하였다. 기존의 DC/DC 승압 컨버터나 변압기를 사용하지 않고 낮은 DC 입력을 상용 AC로 만들기 위해서 SVPWM의 영벡터 구간을 이용해 DC-링크단 전압을 승압하는데 이용하였다. 한 스위칭주기에 3개조의 스위칭소자 중에 2개조만 동시 도통되도록 하여 유효벡터의 손실 없이 승압이 가능하도록 하였다. 빠르고 오버슈트가 없는 전류응답과 낮은 정상상태 전압오차를 얻기 위해서 이산시간 슬라이딩모드 전류제어기와 강인한 서보기구 전압제어기를 설계하였다. 시뮬레이션을 통하여 제안된 알고리즘의 유용성을 확인하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.812-814
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• 1999

In this paper, we are applied the Genetic Algorithm (GA) to design of fuzzy logic controller (FLC) for a DC Servo-Motor Speed Control. GA is used to design of the membership functions and scaling factor of FLC. To evaluate the performances of the proposed FLC, we make an experiment on FLC for the speed control of an actual DC servo-motor system with nonlinear characteristics. Experimental results show that proposed controller have better performance than those of PD controller.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권2호
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• pp.90-96
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• 2005

This paper presents hardware scheme of fuzzy inference engine, based on α-level set decomposition of fuzzy sets for fuzzy control of DC servo system. We propose a method which is directly converted to PWM actuating signal by a one body of fuzzy inference and defuzzification. The influence of quantity α-levels on input/output characteristics of fuzzy controller and output response of DC servo system is investigated. It is concluded that quantity α-cut 4 give a sufficient result for fuzzy control performance of DC servo system. The experimental results shows that the proposed hardware method is effective for practical applications of DC servo system.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권3호
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• pp.107-113
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• 2001

This paper deals with speed control of DC servo motor using a PID controller with a gain tuning based on a Back-Propagation(BP) Learning Algorithm. Conventionally a PID controller has been used in the industrial control. But a PID controller should produce suitable parameters for each system. Also, variables of the PID controller should be changed according to environments, disturbances and loads. In this paper described by a experiment that contained a method using a PID controller with a gain tuning based on a Back-Propagation(BP) Learning Algorithm, we developed speed characteristics of a DC servo motor on variable loads. The parameters of the controller are determined by neural network performed on on-line system after training the neural network on off-line system.