• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.6
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• pp.704-711
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• 2023

This paper discusses the control method of BLDC(Brushless Direct Current) motor that has similar electrical characteristics with DC motor but has improved its lifespan and reliability. The BLDC motor can improve durability and speed stability by using rotor position information to eliminate commutators that require mechanical contact with DC motors. In this study, a controller for a DC motor was designed based on the fact that the current in the windings of a BLDC motor is a square-wave current like the current flowing in the armature of a DC motor. Next, the designed controller was applied to a 3-phase BLDC motor to confirm the effectiveness of the controller. In detail, a single-phase DC motor with electrical parameter values of a three-phase BLDC motor was modeled and a PI controller for motor speed control was designed by applying the root locus method to the derived system. The speed control simulation of the DC motor was performed to confirm the validity of the controller, and the same controller was applied to the speed control of the 3-phase BLDC motor implemented in MATLAB. From the simulation, similar results of the DC motor were obtained in the 3 phase BLDC motor and confirmed the usefulness of the proposed control scheme.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.5
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• pp.51-59
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• 1997

In this paper, we perform the position control of a DC servo motor using fuzzy neural controller. We use the Fuzzy controller for the position control, because the Fuzzy controller is designed simpler than other intelligent controller, but it is difficult to design for the triangle membership function format. Therefore we solve the problem using the BP learning method of neural network. The proposed Fuzzy neural network controller has been applied to the position control of various virtual plants. And the DC servo motor position control using the fuzzy neural network controller is performed as a real time experiment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.15 no.3
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• pp.213-220
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• 1990

DC servo motor has been often used as the position control system, because the performance is excellent on the velocity and position control system. When the unknow disturbance and accessible load torque are imposed on the position control of DC servo motor, this system has the steady and/or transient state error. In this paper, a new method which has high stiffness for reducing the error is proposed. This error will be reduced by acceleration control. The effectiveness of the acceleration control is confirmed by using computer simulation.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.5
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• pp.15-21
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• 2008

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1682-1683
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• 2007

본 논문은 시변 파라미터를 갖는 직류 모터의 적응 제어를 위한 온라인 상태궤환 제어시스템을 구성한다. 모터의 전기자 저항은 공칭값에 대하여 가우시안 랜덤변수로 가정하고 온라인 최소자승 추정법을 이용하여 실시간으로 추정한다. 모터의 부하 토크 또한 시변 특성을 가지며 이런 시스템 환경의 변화에 대해서도 설정치를 잘 추종하는 특성을 갖도록 한다. 컴퓨터 시뮬레이션을 통해 제어기법의 타당성을 검증하며 기존의 상태궤환 제어기법과 비교분석하여 성능의 우수성을 입증한다.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1998.12a
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• pp.422-428
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• 1998

• JOURNAL OF ELECTRICAL WORLD
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• no.3 s.147
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• pp.91-96
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• 1989

• 전기의세계
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• v.48 no.2
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• pp.40-47
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• 1999

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.111-116
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• 2004

In this paper, parameters of a given DC motor system are estimated using the model adjustment technique and the real coded genetic algorithm(RCGA) technique. A number of tuning methods, based on experience and experiment, such as Ziegler-Nichols, Cohen-Coon, IMC, L-ITAE Method have been proposed to obtain parameters for the PID controller. This paper proposes estimating parameters of PID controller using RCGA. The performance of the proposed algorithm is demonstrated through simulations and experiences.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.7 no.4
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• pp.51-58
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• 1993

This paper proposed a minmum time control method by a parabolic switching function to high speed position control, with high accuracy, of a Linear OC Motor A proposed method is organized simply and a bang-bang control's signal switched on a parabola type switching function in the phase for a minimum time control realization. However, a sliding mode occurs owing to system's modelling errors, so the minimum time control is realized a once switching bang-bang control by repeating trial experiments. Next time, in a neighborhood of the origin in the phase plane, a Linear OC Motor is stopped at the origin by the linear feedback control.