• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.164.2-164
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• 2001

Sliding mode control (SMC) with variable nonlinear boundary layer is proposed. Two Fuzzy logic controllers (FLCs) are used to decide both boundary layer thickness and nonlinear interpolation using sigmoid function in the boundary layer. The nonlinear interpolation in the boundary layer suing FLC reduces stead state error and chattering. Sigmoid function is used to nonlinear interpolation in the boundary layer sigmoid function parameter with FLC. To demonstrate its performance, the Proposed control algorithm is applied to a simple nonlinear system.

• The Transactions of the Korean Institute of Power Electronics
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• v.5 no.1
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• pp.46-53
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• 2000

본 논문에서는 전원전압 센서 없는 단상 PWM 컨버터의 전류제어방법을 제안한다. 제안된 방법에서 전원전압은 슬라이딩 모드 관측기에 의해 추정되며 추정된 전원전압을 이용하여 컨버터의 입력 역률을 '1'로 하고 일정한 DC링크전압을 얻을 수 있다. 제안된 방법의 특징은 전원전압의 크기와 위상의 추정이 실제전류와 추정전류의 전류오차에 의해서 얻어질 수 있다. 제안된 방법은 DSP를 이용하여 구현하고, 실험결과는 제안된 방법의 정당성을 입증한다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.173.3-173
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• 2001

In this paper, attitude control of autonomous system using bike based on variable structure control is discussed. Variable structure control is more than a promising technique in the field of nonlinear control. It permits the realization of very robust and simple regulators, with appealing sliding mode characteristics especially if the considered dynamics requires a very short sampling time. We derive dynamic equation of it and demonstrate that the designed controller stabilizes attitude simultaneously regardless of wheel position by computer simulation.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2265-2267
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• 2002

In this paper, a robust Kalman filter is proposed by introducing a new sliding mode surface. This filter can be used for the system with a matching condition. The new state estimater is designed for stochastic systems with bounded uncertainties.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1174-1176
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• 1997

In this paper, the power system stabilizer(PSS) using the sliding mode observer-model following(SMO-MF) including closed-loop feedback(CLF) for single machine system is extended to multimachine system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2634-2638
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• 2009

The variable structure control(VSC) with sliding mode is the discontinuous control law in leads to undesirable chattering in practice. As a method solving this problem, in this paper, we propose a scheme of the VSC with neural network sliding surface. A neural network sliding surface with boundary layer is employed to solve discontinuous control law. The proposed controller can eliminate the chattering problem of the conventional VSC. The effectiveness of the proposed control scheme is verified by simulation results.

• Transactions of the Korean Society of Mechanical Engineers
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• v.13 no.6
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• pp.1147-1155
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• 1989

본 연구에서는 정상모우드 운전조건에서 $O_{2}$ 센서의 단점을 극복할 수 있고 모델링 오차나 외란에 대하여 강인한 슬라이딩 모우드 제어방법을 적용하여 새로운 열료분사 제어기를 설계하고자 한다.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.48.2-48
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• 2002

This paper presents an integrated sliding mode adaptive control scheme for general nonlinear uncertain systems, where structured uncertainty is assumed can be linearly parameterized and unstructured uncertainty is assumed be bounded by unknown constant A certain estimation scheme for this unknown constant is introduced to attenuate the unstructured uncertainty. Presented control scheme is shown to be stable and numerical expressions of bounds of all error signals are given, from which we can acquire some useful information about practical trade-off between tracking performance and parameter estimation property.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.327-328
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• 2006

• Journal of the Korean Society for Precision Engineering
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• v.16 no.10
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• pp.17-24
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• 1999

본 논문에서는 새로운 적응 퍼지 슬라이딩 모드제어 방법을 제시하였다. 제어기는 정확한 수확적인 모델이 없이도 점근적으로 시스템을 안정화시킬 수 있으며 적분항을 포함시킴으로서 정상상태에서의 오차를 좀 더 줄일 수가 있다. 직접구동모터는 감쇄기어가 없어서 부하나 외란 토크의 변화에도 모터 역학에 직접적으로 많은 영향을 줄 수가 있다. 제어기의 실제성능을 확인하기 위하여 불확실한 부하나 변소를 갖는 직접구동모터의 위치제어에 적용하였다.