• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.193-196
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• 1992

When there exist parameter uncertainty, modelling errors and nonminimum phase zeros in control object system. the stability robustness of conventional LQG and LOG/LTR methods are not satisfactory[2, 8]. Since these methods are performed on the infinite horizon, it is very hard to establish exact design parameters and thus they have lots of problems to be applied to real systems, So in this paper we propose RHLQG/FIRF optimal controller which has robust stability against parameter uncertainty, nonminimum phase zeros and modelling errors. This method uses only the information around at present and therefore shows good performance even when we do not know exact design parameters. We here compare LQG and LQG/LTR method with RHLQG/FIRF controller and exemplify that RHLQG/FIRF controller has better robust stability performance via simulations.

• 제어로봇시스템학회논문지
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• 제9권9호
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• pp.669-678
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• 2003

A road-adaptive LQG control for the semi-active Macpherson strut suspension system of hydraulic type is investigated. A new control-oriented model, which incorporates the rotational motion of the unsprung mass, is used for control system design. First, based on the extended least squares estimation algorithm, a LQG controller adapting to the estimated road characteristics is designed. With computer simulations, the performance of the proposed LQC-controlled semi-active suspension is compared with that of a non-adaptive one. The results show better control performance of the proposed system over the compared one.

• 소음진동
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• 제3권4호
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• pp.383-394
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• 1993

An automotive suspension system generally behaves like a low frequency band-pass filter(0.5 - 10 Hz). Passengers are very sensitive to this frequency range in terms of ride quality and road holding ability. In this paper, a LQG/ LTR controller is suggested to improve the ride quality and road holding ability in the specified frequency rage. It has been found by numerical simulation that the ride quality and road holding ability can be improved in the frequency ranges of 0.5 - 3.0 Hz and 0.3 - 2.1 Hz respectively. In addition, a new approach using root locus to evaluate the stability robustness of the active suspension system is studied. It is shown that the stability robustness of the LQG/LTR controller designed in this paper is improved, compared to the passive system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 C
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• pp.1024-1026
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• 1998

In this paper we present a Neural network approach to select weighting matrices of Linear-Quadratic-Gaussian (LQG) controller for TCSC control. The selection of weighting matrices is usually carried out by trial and error. A weighting matrices of LQG control selected effectively using Neural network. It is shown that simulation results in application of this method to one machine infinite bus system are satisfactory.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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• pp.457-459
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• 1998

This paper presents a 3-DOF hovering flight controller for a model helicopter using the minimal order LQG/LTR technique. A model helicopter is an unstable multi-input multi-output nonlinear system strongly exposed to disturbances, so a robust multi-variable control theory should be applied to control it. The minimal order LQG/LTR technique which uses a reduced-order observer in the LTR procedure is used to design the controller. Performances for the 3-DOF hovering flight controller are evaluated through computer simulations.

• 제어로봇시스템학회논문지
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• 제3권3호
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• pp.219-226
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• 1997

지구를 원궤도로 돌고 있는 위성 운동과 지진에 흔들리는 건물 진동을 선형 확률적 미분 방정식으로 나타내고 최적화 제어를 위하여 리스크 센서티브 제어기를 사용한다. 리스크 센서티브 파라미터에 따라서 코스트 함수의 평균과 분산이 변하게 된다. 이 파라미터가 무한히 커지면 리스크 센서티브 제어기는 기존의 LQG 제어기와 같아지므로 리스크 샌서티브 제어이론은 LQG 제어 이론을 포함한 종합적인 이론이다. 이 논문에서는 리스크 센서티브 이론을 소개하고, 리스크 센서티브 제어 방식의 성능 측정및 평가 방법을 도출하기 위하여 공분산을 이용하면 리스크 센서티브 제어기는 기존의 LQG 제어기 보다 우수한 성능을 나타낸다는 것을 보여준다. 시뮬레이션을 통하여 위성의 자세및 궤도 운동 제어와 건물 진동 제어에 활용된 리스크 센서티브 제어기의 향상된 성능과 안정성을 보여준다.

• Smart Structures and Systems
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• 제12권2호
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• pp.121-136
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• 2013

This study proposes an innovative control approach to suppress the responses of a beam structural system under moving forces. The proposed control algorithm is a synthesis of the adaptive input estimation method (AIEM) and linear quadratic Gaussian (LQG) controller. Using the synthesis algorithm the moving forces can be estimated using AIEM while the LQG controller offers proper control forces to effectively suppress the beam structural system responses. Active control numerical simulations of the beam structural system are performed to evaluate the feasibility and effectiveness of the proposed control technique. The numerical simulation results show that the proposed method has more robust active control performance than the conventional LQG method.

• Smart Structures and Systems
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• 제10권1호
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• pp.15-31
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• 2012

This study proposes an active control method to suppress beam-rotating machinery system vibrations. The present control method is a combination of the fuzzy input estimation method (FIEM) and linear quadratic Gaussian problem (LQG) algorithms. The FIEM can estimate the unknown input and optimal states by measuring the dynamic displacement, the optimal estimated states into the feedback control; thereby obtaining the optimal control force for a random linear system. Active vibration control of a beam-rotating machinery system is performed to verify the feasibility and effectiveness of the proposed algorithm. The simulation results demonstrate that the proposed method can suppress vibrations in a beam-machine system more efficiently than the conventional LQG method.

• 한국산업융합학회 논문집
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• 제25권2_2호
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• pp.193-198
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• 2022

In this paper, we introduce the improved control method are communicated between a master and a slave robot in the teleoperation systems. When the master and slave robots are located in different places, time delay is unavoidable under the network environment and it is well known that the system can become unstable when even a small time delay exists in the communication channel. The time delay may cause instability in teleoperation systems especially if those systems include haptic feedback. This paper presents a control scheme based on the estimator with virtual master model in teleoperation systems over the network. As the behavior of virtual model is tracking the one of master model, the operator can control real master robot by manipulating the virtual robot. And LQG/LTR scheme was adopted for the compensation of un-modeled dynamics. The approach is based on virtual master model, which has been implemented on a robot over the network. Its performance is verified by the computer simulation and the experiment.

• 한국항행학회논문지
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• 제4권2호
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• pp.103-113
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• 2000

유연체 부착물을 갖는 인공위성의 수학적 모델링에 관한 방법은 몇 가지들이 있다. 본 논문에서는 FEM에 비해 차수가 낮아 계산시간을 줄일 수 있는 근사화 방법중 하나인 추측모드법을 사용한 하이브리드 라그랑지 방정식을 유도하였다. 이것들은 각속도에 관한 세개의 식들과 유연변위에 관한 두개의 식들로 이루어지며, 위성 본체와 태양전지판의 상호작용을 표현한다. 자세제어에 있어서, 제어법칙은 제어입력뿐만 아니라 진동억제를 포함한 성능지수를 최소화하도록 설계하였다. 이 목적을 위해 본 논문은 LQG와 LQG/LTR 제어기를 사용하였고, 결과로는 진동억제를 고려한 소각선회 성능을 보여준다. 특히, 본 논문에서는 특이시스템을 특이값 분리에 의한 비특이시스템 가정법을 통한 LQG/LTR 설계를 보여준다.