• 제어로봇시스템학회:학술대회논문집
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• 1987.10b
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• pp.214-217
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• 1987

In this paper self tuning control of interconnected systems are dealt in view point of large scale system control. The plant model is given in multiple ARMA process. This process is simplified as independent SISO ARMA process having offset terms. This offset was considered as effects of interconnections. In each decentralized system, self tuning controller with instrumental variable method is adopted. As a result, this algorithm enables the parameter estimation to be unbiased and non-drift. This controller contains a new implicit offset rejection technique. Simulation results considers well with the analysis in case of linear interconnection.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.183-185
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• 2006

This paper presents a SISO nonlinear controller for the power system consisting of a synchronous generator connected to an infinite bus. The proposed controller is based on input-output feedback linearization, with a modified version of the terminal voltage equation used as the output. The resulting closed-loop has no internal dynamics, and thus stability is guaranteed. The controller performance is seen to be effective through simulations.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.37 no.12
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• pp.879-883
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• 1988

In this paper, self tuning control of interconnected systems are dealt in view point of large scale system control. The plant model is given in MIMO ARMA procss. This process is simlified as independent SISO ARMA processes having offset terma, which are considered as effects of interconnections. In each decentralized system, self tuning controller with instrumental variable method is adopted. As a result, this algorithm enables the paramter estimation to be unbiased and non-drift. This controller contains a new implicit offset rejection technique. Simulation results consider well with the analysis in case of linear interconnection.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.9
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• pp.1046-1050
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• 1988

A direct adaptive control algorithm for discrete-time SISO systems with arbitrary zeros is presented in a general way by making use of reference model. A linear equation error model is formulated for estimating both the controller parameters and the auxiliary parameters. With this algorithm, asyptotic tracking within an arbitrarily small error can be achieved.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 1999.10a
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• pp.23-23
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• 1999

일반적인 제어대상 시스템을 모델링하여 제어기를 설계할 경우 시스템을 제어하는 액츄에이터의 saturation 현상을 무시하고 설계하는 경우가 자주 있다. 만일 시스템이 SISO이며, 충분히 안정하고 동적 특성이 빠른 경우에는 saturation 무시가 주는 영향이 크게 나타나지 않지만, 만일 시스템이 MIMO이며 비선형일 경우 비선형 요소인 입력 saturation에 의하여 시스템의 특성이 변형되고 크게는 불안정화 된다.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.658-660
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• 1995

This paper presents a performance analysis of the multiple sliding mode control for SISO system. The multiple sliding mode control technique uses sliding surfaces for each state. The performance analysis is done by comparison between the multiple sliding mode control and the sliding mode control. Overall performance of the multiple sliding mode control is improved over that of the sliding mode control. Results of numerical simulations are presented.

• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.282-283
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• 2018

본 연구에서는 양방향 인버터의 해석과 설계 방법을 Matlab SISO TOOL과 PSIM을 이용한 Two Loop Control방법으로 제안하였다. 일반적인 회로 및 제어기 설계 방법으로는 회로와 제어기를 각각 설계하여 시제품으로 측정하는 방법과 이상적인 모델을 이용하여 시뮬레이션 하는 방법을 사용한다. 본 논문에서는 상용소자모델로 구성된 인버터를 PSIM으로 설계하였고, Matlab을 이용하여 시뮬레이션 함으로써 일반적인 방법보다 높은 신뢰성을 가지는 시뮬레이션 방법을 제안한다.

• Journal of Electrical Engineering and Technology
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• v.4 no.1
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• pp.135-142
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• 2009

In this paper the Simplified Refined Instrumental Variable (SRIV) identification algorithm for SISO systems is extended to MIMO systems described by a Left Matrix Fraction Description (LMFD). The performance of the extended algorithm is compared to the well-known MIMO four-step instrumental variable (IV4) algorithm. Monte Carlo simulations for different signal to noise ratios are conducted to assess the performance of the algorithm. Moreover, the algorithm is applied to a simulated quadruple tank process.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2441-2443
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• 2003

This paper proposes an indirect adaptive fuzzy controller for general SISO nonlinear systems. No a priori information on bounding constants of uncertainties including reconstruction errors and optimal fuzzy parameters is needed. The control law and the update laws for fuzzy rule structure and estimates of fuzzy parameters and bounding constants are determined so that the Lyapunov stability of the whole closed loop system is guaranteed. The computer simulation results for an inverted pendulum system show the performance of the proposed robust adaptive fuzzy controller.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.780-782
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• 2011

휴대인터넷 시스템인 WiBro 환경에서 Uplink Beamforming 기술을 적용하였을 때의 성능을 확인 하였다. 빔형성 알고리즘은 라그랑제 포뮬러를 사용하였고 SISO(Single Input Single Output) 시스템을 적용하였을 때와 여러 환경에서 비교 분석하였다. 다양한 실험 결과 WiBro 환경에서 Beamforming 기술이 우수한 성능을 제시하는 것을 확인하였다.