• Proceedings of the KIPE Conference
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• 2001.07a
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• pp.422-425
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• 2001

권선형 유도전동기는 기동시에 충분히 큰 저항을 외부에서 삽입하여 기동전류를 작게하는 동시에 기동 토크를 크게 할 수 있다. 또한, 유도전동기의 각 기동 방식중에서 가장 우수한 시동특성을 가지고 있으며 크레인, 시멘트공장 등 중부하 시동이 요구되는 경우 널리 사용되고 있다. 권선형 유도전동기 드라이브 시스템의 전류, 토크, 위치 및 속도 등의 제어를 위하여 일반적으로 산업현장에서는 Pl 제어기가 많이 적용되고 있다. 그러나 이러한 시스템은 센서 부착시 여러가지 환경적 제약으로 인한 전체시스템의 성능 저하를 가져올 수 있어 이를 개선하기 위한 센서리스 벡터제어가 활발히 연구되고 있다. 본 논문은 권선형 유도 전동기의 센서리스 벡터제어를 위해 MRAS 기법을 적용하였고, 기존의 MRAS 기법 적용시 발생하는 파라미터 변동에 따른 속도추정오차를 개선하기 위해 센서리스 벡터제어의 속도제어에 크게 영향을 미치는 고정자 저항을 온라인으로 튜닝함으로서 파라미터 변화에 강인한 센서리스 속도제어를 구현하였다. 제안된 기법의 타당성 및 유효성을 디지털 컴퓨터에 의한 시뮬레이션에 의해 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.131-136
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• 2006

This paper described a robust control of an induction motor using a disturbance cancellation observer of a feedforward control with Matlab simulink. The speed response of conventional PI controller characteristics is affected by variation of load torque disturbance. In this system, the speed control characteristics using a feedforward control toughen about a load torque disturbance.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.6
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• pp.650-657
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• 2013

This study uses a muscle activation sensor and elbow joint model to develop an estimation algorithm for human elbow joint torque for use in a human-robot interface. A modular-type MVS (Muscle Volume Sensor) and calibration algorithm are developed to measure the muscle activation signal, which is represented through the normalization of the calibrated signal of the MVS. A Hill-type model is applied to the muscle activation signal and the kinematic model of the muscle can be used to estimate the joint torques. Experiments were performed to evaluate the performance of the proposed algorithm by isotonic contraction motion using the KIN-COM$^{(R)}$ equipment at 5, 10, and 15Nm. The algorithm and its feasibility for use as a human-robot interface are verified by comparing the joint load condition and the torque estimated by the algorithm.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.37 no.1
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• pp.57-65
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• 2001

The speed control without a speed sensor is expected strongly to progress reliability, simplicity and cost performance of Induction Motor(I.M) systems. Also, it contributes to expansion of I.M systems into various industrial application fields. This paper investigates a novel speed sensorless control method of I.M considering the secondary resistance identification based on the transientless torque control technique. Especially, this paper aimed at the identification of the secondary resistance simultaneously with speed estimation superposing of sinusoidal flux wave to a constant flux value. Furthermore, the secondary flux with some frequency is controlled independently on torque control. The proposed speed estimation method is derived from a motor circuit equation theoretically and also it can be conducted easily by detecting primary motor currents and primary voltage commands at every sampling time. Some numerical simulations with the assumption of using a pulse width modulation(PWM) voltage source inverter are performed to verify the proposed method.

• The Transactions of the Korean Institute of Power Electronics
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• v.5 no.1
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• pp.88-94
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• 2000

In this paper, a parameter estimation method for a vector control of induction motors is presented. It can be easily implemented to the inverters in the industrial fields such as continuous process line, which requires the high performance of torque control, because of being estimated under the condition of the actual operating states. Also, this method nems no additional hardware such as voltage sensors and measuring equipments by the estimation of output voltage, and has good accuracy and repeatability by observing the variation of the stator voltage due to estimation errors. Experimental results verify the validity and usefulness of the proposed estimation method in the industrial fields.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.6
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• pp.873-880
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• 2011

As environmental pollution, global warming, and exhaustion of fossil fuel become global issue recently, there has been strong research motivation to develop green energy technology. Along the same line of motivation, some research efforts have been put into the development of environment-friendly bicycle equipped with various smart energy technologies to increase the usability of the bicycle as short-distance transportation. Among the technologies related with new generation bicycle, PAS (power assist system) is one of the most important systems that are essential in efficiently integrating human power and the electrical power supplied by electric motor driven by battery. In this paper, a novel torque sensor technology which is core component for PAS is proposed. Unlike existing technologies, strain gauges are attached to rear shaft directly under the hub bearings, which eliminates the requirement of slip-ring, Furthermore, the sensor is able to not only measure the torque transmitted to driving axle by human but also estimate the position of the gear to which the chain is currently engaged.

• The Transactions of the Korean Institute of Power Electronics
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• v.15 no.5
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• pp.343-351
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• 2010

This paper proposes a new fuzzy speed controller based on the Takagi-Sugeno fuzzy method to achieve a robust speed control of a permanent magnet synchronous motor (PMSM). The proposed controller requires the information of the load torque, so the second-order load torque observer is used to estimate it. The LMI condition is derived for the existence of the proposed fuzzy speed controller, and the gains of the controller are provided. It is proven that the augmented control system including the fuzzy speed controller and the load torque observer is exponentially stable. To evaluate the performance of the proposed fuzzy speed controller, the simulation and experimental results are presented under motor parameter variations. Finally, it is clearly verified that the proposed control method can accurately control the speed of a permanent magnet synchronous motor.

• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.158-159
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• 2017

본 논문에서는 매입형 영구자석 동기전동기를 위치센서 없이 기동하기 위해 회전자의 초기 위치를 추정하는 방법을 제안한다. 제안된 방법은 자기 인덕턴스의 포화현상에 따른 고정자 전류를 해석하고 최소자승법을 통해 회전자의 초기 위치를 추정한다. 전 구간에서 회전자의 초기 위치와 극성을 정확하게 알아낼 수 있어 돌극성 때문에 나타나는 릴럭턴스 토크를 효과적으로 사용할 수 있다. 또한, 전동기 정수에 영향을 받지 않으므로 다양한 전동기 구동 시스템에 적용할 수 있으며, 추가적인 하드웨어가 필요하지 않아 경제적이다. 제안하는 방법의 유효성과 우수성은 시뮬레이션을 통해 검증한다.

• 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.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.181-188
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• 2010

This paper presents the control algorithm of active walking aids estimating external torque of the wheels from user's will. Nowadays, interest of the walking aids is increased according to the increase in population of elder and handicapped person. Although many walking aids are developed, most of walking aids don't have any actuators for its movement. However, general walking aids have weakness for its movement to upward/download direction of slope. To overcome the weakness of the general walking aids, many researches for active type walking aids are being progressed. Unfortunately it is difficult to precision control of walking will during its movement, because it is not easy to recognize user's walking will. Many kinds of methods are proposed to recognize of user's walking will. In this paper, we propose control algorithm of walking aids by using torque estimation from wheels. First, we measure wheel velocity and voltage at the walking aids. From these data, external forces are extracted. And then walking will that is included by walking velocity and direction is estimated. Finally, walking aids are controlled by these data. Here, all the processes are verified by simulation.