• Proceedings of the KIEE Conference
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• 2007.04c
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• pp.183-186
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• 2007

This Paper presents a solution to control the Brushless DC Motor(BLDCM) in Hard Disk Drive(HDD) using the Linear Quadratic Regulator(LQR). Generally, The speed of BLDCM in HDD is controlled by the lead angle control or the input voltage control using PAM(Pulse Amplitude Modulation) etc. These control methods have speed overshoot in speed control and need the long time until BLDCM reaches at the steady state. In order to improve the performance, this paper present the PI speed controller using the LQR based on vector control and the rotor position detection methods at the space vector PWM inverter. The proposed methods are proved by the simulation and experimental results.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.1141-1143
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• 2001

This paper presents a detailed study of the reduced-model extended Kalman filter(EKF) for estimating the rotor speed of an induction motor drive. The general structure of the Kalman filter is reviewed and the various system vectors and matrices are defined. By including the rotor speed as a state variable, the EKF equations are established from a discrete two axis model of the three-phase induction motor, using the software MATLAB/Simulink, simulation of the EKF speed estimation algorithm is carried out for an induction motor drive with indirect vector control.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.1035-1047
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• 2015

Starting from a new dynamic system description novel synchronous machine deterministic observers are proposed. Reduced and full order adaptive observer variations are presented. Based on the feedback linearization control law and the use of deterministic observer a novel control system is built. It meets the requirements of high performance tracking system. Adaptivity to stator and rotor resistance and the torque sensorless application is included. The comparison of the proposed novel control with conventional linear and nonlinear control systems is discussed. The given simulational study includes complete drive system integration.

• Proceedings of the KIEE Conference
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• summer
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• pp.1019-1021
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• 2004

BLDCM(Brushless D.C. Motor) is widely used for industrial application because of high efficiency and high power density. Especially, in servo system and home appliance. BLDCM is very useful due to high control performance and low acoustic noise. In this paper, 2.5HP rated BLDCM controller and drive was developed for tread mill application. The prototype BLDCM has 4 poles rotor and 24 slots stator. Ferrite was used as a rotor magnet due to the cost and temperature characteristic. For the stable operation of tread mill. over current and high temperature can be detected by the DSP controller. For the commutation signal, switching patterns from the sensorless circuit and hall sensor signal are used in the DSP controller.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.1120-1123
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• 2003

This paper is proposed a ANN-based rotor position and speed estimation method for IPMSM by measuring the currents. Because the proposed estimator treats the estimated motor speed as the weights, it is possible to estimate motor speed to adapt back propagation algorithm with 2 layered neural network. The proposed control algorithm is applied to IPMSM drive system. The operating characteristics controlled by neural networks control are examined in detail.

• Proceedings of the KIPE Conference
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• 2014.07a
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• pp.243-244
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• 2014

본 논문은 단일 인버터를 이용하여 두 개의 표면부착형 영구 자석 동기 전동기를 위치, 속도 센서 없이 구동하는 방법을 소개한다. 기존에 두 개의 동기전동기를 병렬 구동하기 위해서는 위치센서를 반드시 필요로 하였다. 때문에 가격을 절감할 수 있다는 단일 인버터를 이용한 병렬 전동기 구동 시스템의 장점이 퇴색되었다. 본 논문에서는 단일 인버터를 이용한 병렬 전동기 구동 시스템의 센서리스 구동을 위한 새로운 구동 방법 및 제어 전략을 소개하고 실험을 통해 이를 검증하였다.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1444-1446
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• 2005

Recently most machineries have been small size and mobile type. And human body insertion type endoscope and micro robot technology has been developed. Then the motors used in this field are developed in micro size such as about 2mm in diameter. The structure of this motor is similar to a general brushless DC(BLDC) motor but because of small size there is no position sensor such as hall sensor. In this paper, a design and fabrication result of an ultra-small brushless DC motor is presented. This motor is designed to 3-phase coreless winding and operated with sensor-less type driver. Test results confirmed the feasibility of the proposed motor drive system design.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1441-1443
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• 2005

In this paper proposes a very simple method to estimate the rotor position of a switched reluctance motor. By on-line estimating the self-inductance of the motor, the rotor position of the SR motor is obtained, and a closed-loop drive system can be achieved. Proposed methods can easy implement to application with sensorless SR motor drive system. SR motor simulation executed with self inductance estimation and result represented. Simulation result verified the rotor position using the proposed self-inductance estimation method.

• The Transactions of the Korean Institute of Power Electronics
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• v.13 no.1
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• pp.33-40
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• 2008

This paper proposes a sensorless drive method that estimates the rotor position by analysing Back EMF of single-phase Switched Reluctance motor (SRM). The rotor position information is necessary required, because SRM's torque is generated by exciting a stator winding according to rotor position. In order to detect the position of the rotor, the various rotor position sensors have been used. However, most of the position sensors not only increase the construction cost and the volume of the motor but also decrease reliability of driving system with environment. This paper proposed the method using the Back EMF to solve such problems. When a rotor and stator are overlapped, the Back EMF is sharply changed. By detecting this point, the rotor position can be estimated. Thus SRM is driven by turn on and turn off switches at the proper position through speed calculation. The validity of proposed method is verified through simulation and experiment.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.1
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• pp.26-32
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• 2005

Rotor position information is essential in the operation of the switched reluctance motor(SRM) drive for generation the phase current switching signals. When an incremental encoder is used as a rotor position sensor, the initial rotor position can not be detected. Some sensorless rotor position estimation methods also have the same problem. In these systems, to initially align the rotor, the forced alignment method has a delay and reverse rotation before the motor can start. Therefore it can not be acceptable for unidirectional drive systems. So the forced alignment method is not desirable in all drive systems and the research on the SRM drives should be directed to a system without rotor alignment. In this paper, a new detection method of initial rotor position using the rate of change of current is suggested. Firstly, di/dt versus θ/sub R/ reference table, which is the relation between the rate of change of current and rotor position, is generated and then the squared Euclidean distance method is used to estimate the rotor position based on the table. The simulated and experimental results are presented demonstrating the feasibility and accuracy of this method.