• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.12
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• pp.184-192
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• 2010

This paper proposes a new fuzzy speed controller to precisely regulate the speed of a surface-mounted permanent magnet synchronous motor(SPMSM). The proposed fuzzy controller needs the knowledge of the load torque to realize its robust and accurate control, thus the first-order load torque observer is adopted to estimate it. It is analytically confirmed that the overall control system containing the fuzzy speed controller and the load torque observer is exponentially stable. To prove the validity of the proposed fuzzy speed controller, the simulation and experimental results are shown. It is concluded that the proposed control scheme can be employed to accurately control the speed of a SPMSM motor.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.59 no.2
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• pp.163-172
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• 2010

A robust positioning control system has been studied using a friction parameter observer and a recurrent fuzzy neural network based on the sliding model. To estimate a nonlinear friction parameters of the LuGre friction model, a dual friction model-based observer is introduced. In addition, an approximating method for a system uncertainty has been developed using a recurrent fuzzy neural network technique to improve positioning performance. Experimental results have been presented to validate the performance of a proposed intelligent compensation scheme.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.5
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• pp.812-818
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• 2017

In this paper, we design a reduced-order disturbance observer (DOB) controller for an EMS (Electro-Magnetic Suspension) system with mass uncertainty. Compared with conventional DOB controller, the proposed reduced-order DOB controller can be implemented in a simpler way, since it uses reduced order nominal model and Q-filter. It is shown that the nominal model for the proposed DOB controller should be carefully chosen in order to achieve the robust stability in the present of mass uncertainty. Computer simulation results to validate the effectiveness of the proposed DOB controller are included.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.9 no.6
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• pp.49-56
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• 1995

In this study, self-tuning adaptive control using state observer is developed. Self-tuning adaptive controller that estimates the parameters of the system in real time and generates the optimal control signals has robust characteristic about varying load and external disturbances. In addition, state observer without sensors is applied, thus the control can be performed more quickly and exactly. Since chopper is used commonly in practical drives, the characteristics of the chopper are included in state observer algorithm, which, in turn, makes the system exact estimation. Since series type DC motor has nonlinear models, linearizing approach are investigated. to realize the proposed algorithm it requires fast calculation in real time. TMS320C31, digital signal processor, is applied to realized the adaptive control algorithms.

• Proceedings of the KIEE Conference
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• 1988.11a
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• pp.426-429
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• 1988

A Microprocessor Based Digital Control System is inherently contained a control lag for processing the control program and a data detection time lag. This two types of time lag may cause the system to become unstable. In this paper proposed predictive state observer is used to solve the two time lag problems. I-P control algorithm is used to attain deadbeat response by adjusting the observer gain to overcome the parameter variation or with disturbance. The speed response shows good performance through computer simulation.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.1154-1156
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• 2001

This paper presents the implementation of a positon sensorless vector control system of a PM linear synchronous motor by sliding mode observer based on TMS320F240 DSP controller. Sliding mode observer estimates the secondary velocity and position based on the measurement of current, and it shows very robust characteristic to parameter variation. Therefore, it improves the system performance deterioration caused by system parameter variations. Simulation and experimental considerations are presented to confirm the applicability of sliding mode observer to the sensorless position control of PMLSM.

• Proceedings of the KIEE Conference
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• 2005.05a
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• pp.119-121
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• 2005

The sliding-mode control technique could make a system unstable which external disturbance and uncertainty exists in. This paper suggests a robust sliding-mode control algorithm which can be applied to a linear system with parameter uncertainties. To reduce the chattering effect, the whole system is comprised of using a state variable in which the state's estimated value is added. The condition of estimated state results from state observer. The proposed control algorithm uses the optimal feedback controller following the dynamic system equation which consists of a state variable resulting from its own state variable, controller input, estimated state variable. Through comparison with the time optimal control algorithm using simulation, the suggested algorithm shows the improved stability and robustness while it manifests the fast tracking characteristics.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.5
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• pp.332-338
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• 2016

In industrial applications, there are disturbances and uncertainties that bring unfavorable effects to achieving the desired performance of a closed-loop system. Not surprisingly, many researchers have developed various techniques to attenuate influence of the disturbance. One intuitive idea is to design a disturbance estimator, called a disturbance observer, and cancel the effects by feedback action. This paper is a survey of disturbance observers and related methods. We categorize existing methods by design approach, applied system, and characterization of disturbance. Several disturbance observers are explained by simple examples. The readers could use this paper to help understand the configurations of representative disturbance observer methods.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.420-424
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• 2006

본 논문에서는 외란을 갖는 불확실한 비선형 시스템을 제어하기 위하여 $H^{\infty}$ 제어를 이용한 강인 간접 적응 퍼지 관측기를 설계하여 상태변수를 관측하고 외란관측기를 설계하여 시스템의 외란을 제거하는 강인한 제어기를 구성한다. 제안된 외란관측기는 시스템과 외란의 대역폭보다 큰 궤환 이득을 가짐으로써 기존의 역플랜트 모델 또는 퍼지 기반의 외란관측기 보다 간단한 구조를 가지고 외란과 시스템 모델링 오차의 합을 관측해 낼 수 있다. 본 논문에서는 도립진자 시스템의 모의실험을 통하여 관측기, 외란관측기와 제어기의 성능을 평가한다.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.514-516
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• 2005

압전 구동기(Piezo actuator)는 수 나노미터 수준의 위치정밀도와 고분해능을 가지고 있으나 비선형 특성인 히스테리시스(Hysteresis)는 정상상태에서 위치 오차를 발생하는 주요 원인이 된다. 현재까지 히스테리시스를 보상하기 위해 피 프 포워드 제어 방법, Pl 제어 방법, $H_{\infty}$제어 방법 등이 연구되어 왔지만 저주파 대역의 외란(disturbance)까지 고려하여 시스 템을 주파수 영역에서 설계, 분석하는 방법에 대한 연구는 미흡하였다. 본 논문은 압전 구동기의 위치 제어를 위한 제어기의 설계와 이를 주파수 영역에서 분석하는 내용을 다룬다. 제어기의 설계는 히스테리시스를 보상하기 위해 극점 배치 방법과 외란 관측기(Disturbance observer)를 기본으로 하였으며 적분제어를 적용하여 시스템 민감도(sensitivity)를 개선하였다. 시뮬레이션과 실험을 통하여 설계한 제어기가 히스데리시스에 대한 보상과 민감도의 개선에 효율적임을 검증하였다.