• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.873-881
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• 2014

Speed sensorless modes of operation are becoming standard solution in the area of electric drives. This paper presents flux estimator and speed estimator for the speed sensorless vector control of induction motors. The proposed sensorless methods are based on the model reference adaptive system (MRAS) observer and adaptive speed observer (ASO). The proposed speed estimation algorithm can be employed in the power control of grid connected induction generator for wind power applications. Two proposed schemes are verified through computer simulation PSIM and compared their simulation results.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 하계학술대회 논문집 B
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• pp.673-676
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• 1993

The field-oriented control of induction motor without speed sensor has been widely studied. This paper proposes the new design method of adaptive sliding observer for induction motor, which include the rotor speed identification together with the rotor flux estimation. The proposed adaptive observer has advantage of their global stability which is developed on some assumption. It is easy to analyse because the identifier is seperated from the controller. Finally, the chattering which is caused by switching is reduced by new control scheme, and the validaity of the adaptive algorithm is verified by simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2308-2310
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• 2001

In the adaptive fuzzy sliding mode control, from a set of a fuzzy IF-THEN rules adaptive fuzzy sliding mode control whose parameters are adjusted on-line according to some adaptation laws is constructed for the purpose of controlling the plant to track a desired trajectory. Most of the research works in nonlinear controller design using fuzzy systems consider the affine system with fixed grid-rule structure based on system state availability. The fixed grid-rule structure makes the order of the controller big unnecessarily, hence the on-line fuzzy rule structure and fuzzy observer based adaptive fuzzy sliding mode controller is proposed to solve system state availability problems. Therefore, adaptive laws of fuzzy parameters for state observer and fuzzy rule structure are established implying whole system stability in the sense of Lyapunov.

• 전력전자학회논문지
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• 제24권1호
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• pp.33-39
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• 2019

We propose a mechanical parameter estimation algorithm for surface-mounted permanent magnet synchronous motors (SPMSMs) using a sliding-mode observer (SMO) and an adaptive filter. The SMO estimates system disturbances in real time, which contain the information on mechanical parameters. A desirable feature that distinguishes the proposed estimation algorithm from other existing mechanical parameter estimators is that the adaptive filter estimates electromagnetic torque to improve the estimation performance. Moreover, the SMO acts as a low-pass filter to suppress the chattering effect, which enables the smooth output signals of the SMO. We verify the mechanical parameter estimation performance for SPMSM by conducting extensive experiments for the proposed algorithm.

• Transactions on Control, Automation and Systems Engineering
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• 제3권2호
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• pp.117-123
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• 2001

To improve control performance of a non-linear system, many other reserches have used the sliding model control algorithm. The sliding mode controller is known to be robust against nonlinear and unmodeled dynamic terms. However, this algorithm raises the inherent chattering caused by excessive switching inputs around the sliding surface. Therefore, in order to solve the chattering problem and improve control performance, this study has developed the sliding mode controller with a perturbation estimator using the observer-based fuzzy adaptive network. The perturbation estimator based on the fuzzy adaptive network generates the control input of compensating unmodeled dynamics terms and disturbance. And the weighting parameters of the fuzzy adaptive network are updated on-line by adaptive law in order to force the estimation errors converge to zero. Therefore, the combination of sliding mode control and fuzzy adaptive network gives rise to the robust and intelligent routine. For evaluation control performance of the proposed approach, tracking control simulation is carried is carried out for the hydraulic motion simulator which is a 6-degree of freedom parallel manipulator.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2005년도 창립60주년 기념 추계 학술대회
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• pp.183.1-183.1
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• 2005

• 한국산학기술학회논문지
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• 제12권11호
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• pp.5143-5149
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• 2011

본 논문은 슬라이딩 모드 관측기를 이용한 적응 속도 센서리스 벡터제어에 대해 제안한다. 적응 슬라이딩 모드 관측기는 전압식을 이용한 전동기 고정자 기준좌표에 의해 회전자 자속성분이 관측된다. Lyapunov 함수에 의해 얻어지는 추가적인 관계로부터 전동기의 속도가 구해진다. 성능 확인을 위해 전통적인 PI 제어기와 슬라이딩 모드 관측기의 추가적인 특성에 대해 시뮬레이션과 실험을 통해 비교하였다. 분석과 비교에 의한 결과에 의하면 시스템의 유용성을 확인할 수 있었다.

• 한국항행학회논문지
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• 제10권3호
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• pp.191-197
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• 2006

본 논문에서는 적응 속도 관측기를 사용한 유도전동기의 센서리스 슬라이딩 모드 제어 방법을 제안하였다. 제어 목적은 엔코더를 대신하여 적응 속도 관측기를 적용하고, 전류 제어기에 포함된 파라미터 변화와 외란으로 인한 오차를 슬라이딩 모드 전류 제어기를 사용하여 제거하는 것이다. 제어 시스템에 적용된 슬라이딩 모드 전류 제어기와 적응 속도 관측기의 안정도는 Lyapunov 안정도 판별법을 이용하여 해석하였다. 제안한 제어 시스템의 성능은 Matlab Simulink를 사용한 모의 실험으로 증명되며, 유도전동기를 사용한 실험 결과를 통하여 실현 가능성을 확인하였다.

• 한국지능시스템학회논문지
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• 제19권2호
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• pp.168-173
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• 2009

본 논문은 수중 차의 차속도와 프로펠러 각속도를 추정하는 문제를 다룬다. 계단식 관측기는 측정된 위치 값으로부터 속도값 추정을 위해 사용한다. 고이득 관측기(high-gain observer)에 전형적으로 생기는 전형적인 문제를 없애기 위하여 계단식 구조의 관측기가 설계되었다. 고이득 관측기처럼 시스템 다이나믹스와 파라미터로부터 무관하게 설계할 수 있으며 단순한 구조를 가진다 관측기의 첫 단계에서 출력 값이 추정되고 측정된 출력의 1계 미분 값이 관측기의 두 번째 단계를 통해 추정된다. 또한 출력의 n 번째 미분 값은 관측기의 n+1 번째 단계에서 추정된다. 제안된 관측기가 전체 점근적 안정도를 보장함을 보여준다. 시뮬레이션 결과는 기존의 고이득 관측기에 비해 제안된 관측기가 수중 차의 차속도와 프로펠러 각속도를 더 우수하게 추정함을 보여준다.

• 한국정밀공학회지
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• 제25권12호
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• pp.89-99
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• 2008

In this paper, the position tracking control problem of the servo system with nonlinear dynamic friction is issued. The nonlinear dynamic friction contains a directly immeasurable friction state variable and the uncertainty caused by incomplete parameter modeling and its variations. In order to provide the efficient solution to these control problems, we propose the composite control scheme, which consists of the robust friction state observer, the FNN approximator and the approximation error estimator with sliding mode control. In first, the sliding mode controller and the robust friction state observer is designed to estimate the unknown internal state of the LuGre friction model. Next, the FNN estimator is adopted to approximate the unknown lumped friction uncertainty. Finally, the adaptive approximation error estimator is designed to compensate the approximation error of the FNN estimator. Some simulations and experiments on the servo system assembled with ball-screw and DC servo motor are presented. Results show the remarkable performance of the proposed control scheme. The robust friction state observer can successfully identify immeasurable friction state and the FNN estimator and adaptive approximation error estimator give the robustness to the proposed control scheme against the uncertainty of the friction parameters.