• 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.

• 제어로봇시스템학회논문지
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• 제6권6호
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• pp.500-505
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• 2000

This paper deals with wafer temperature uniformity control essential in rapid thermal processing (RTP). One of the important control objectives of RTP is to keep the temperature over the wafer surface as uniformly as possible. For this, a discrete time state equation around the operating point is first identified by using the subspace fitting method, and a multivariable LQG(Linear Quadratic Gaussian) controller is designed based on the identified model. Simulation and experimental results show improvement in temperature uniformity over the conventional PID method.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1992년도 춘계학술대회 논문집
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• pp.133-142
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• 1992

A kineamatic nonlinear multivariable laundher is modeled of which the azimoth and elevation axes are drived simultaneously and SISO and MIMO LQG/LTR controllers are designed and evaluated for this system. Also, the suitable command input function is suggested for the desired command following performance and the LQG/LTR control system with disturbances and load variation is evaluated for the entire operating range by computer simulation. It is found that the linear SISO LQG/LTR controller can be used for the kinematic nonlinear multivariable launder in the entire operating range and is effective for disturbance rejection and load variation.

• 한국정밀공학회지
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• 제6권2호
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• pp.88-97
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• 1989

In general turret servo system is subject to influnces by disturbances and uncertain modeling errors, which result from large dynamic characteristics and high-spedd operation. In this paper the influences of such disturbances and modeling errors are analyzed quali- tatively for the linerar approximation model of turret servo system, and then LQG/LTR control theory is applied to linear approximation model in order to design a controller which satisfies robustness/stability for the modeling errors. Finally the performance and robustness of designed controller for the given plant are verified through the simulation.

• Journal of Positioning, Navigation, and Timing
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• 제9권3호
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• pp.207-214
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• 2020

In this paper, we implement linear-quadratic-Gaussian based vector tracking loop (LQG-VTL) instead of conventional extended Kalman filter based vector tracking loop (EKF-VTL). The LQG-VTL can improve the performance compared to the EKF-VTL by generating optimal control input at a specific performance index. Performance analysis is conducted through two factors, frequency thermal noise and frequency dynamic stress error, which determine total frequency tracking error. We derive the thermal noise and the dynamic stress error formula in the LQG-VTL. From frequency tracking error analysis, we can determine control gain matrix in the LQG controller and show that the frequency tracking error of the LQG-VTL is lower than that of the EKF-VTL in all C/N0 ranges. The simulation results show that the LQG-VTL improves performance by 30% in Doppler tracking, so the LQG-VTL can extend pre-integration time longer and track weaker signals than the EKF-VTL. Therefore, the LQG-VTL algorithm is more robust than the EKF-VTL in weak signal environments.

• 한국구조물진단유지관리공학회 논문집
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• 제12권5호
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• pp.65-73
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• 2008

본 연구는 칼만(Kalman) 필터 적용에 따른 LQG 제어기의 안정도 여유 상실을 극복하기위해 적용한 LTR 제어 시스템의 성능을 시간영역과 주파수영역에서 분석해 보고, 설계에 중요한 요소인 안정도 여유의 회복이 DUOX 구조물에 대해서도 실현되는지 여부를 확인해 보고자 함에 그 목적이 있다. 제어 대상의 구조물은 4층 골조로서 상부에 TMD와 AMD로 구성된 DUOX 시스템이 설치된 하이브리드 시스템이다. LTR/DUOX 제어기법으로 제어한 결과, 주파수응답의 Bode 선도를 통해 구한 게인 여유가 약 30dB로써 LQG/DUOX 제어기의 유실된 게인 여유를 20배 이상 회복시켜 보다 안정도 강인성이 우수한 제어기 설계가 구현되었다.

• 한국구조물진단유지관리공학회 논문집
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• 제10권4호
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• pp.108-118
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• 2006

본 연구는 지진동을 받는 구조물의 응답을 제어하기 위한 하이브리드 LQG 기법의 효용성을 조사하는 것이 목적이다. 입력 기진력은 엘센트로 지진이며 지반 가속도을 적절히 조절하여 구조물이 탄성 범위내에서 거동하도록 하였다. 수동 제어 장치로서 최상층에 설계된 TMD는 LQG 제어 알고리즘에 의해 통제되며 능동 제어기와 함께 하이브리드 제어 시스템을 이룬다. 이 기법을 통해 제어된 변위 응답을 비교한 결과 순수하게 능동 제어를 한 경우에 비해 훨씬 작은 크기의 입력으로도 변위를 제어할 수 있었으며 센서의 위치는 최상층에 부착하는 것이 가장 효과적인 것으로 나타났다.

• 한국복합재료학회:학술대회논문집
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• 한국복합재료학회 2002년도 춘계학술발표대회 논문집
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• pp.135-138
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• 2002

Experimental studies on vibration control of a composite beam with a piezoelectric actuator and an extrinsic Fabry-Perot interferometer (EFPI) have been performed using a neural network controller and an LQG controller. Vibration control performance was investigated in the nonlinear sensing range according to the vibration amplitudes. Using a neuro-controller, adaptive vibration control experiment has been performed for the structure with frequency variations, and its performance is compared with that of an LQG controller. The vibration control results show that the neuro-controller has good performance and robustness with respect to the system parameter variations.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.979-981
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• 1999

This paper designs a ball and beam system using Coefficient Diagram Method (CDM). The ball and beam system is used in many undergraduate control classes to verify a control algorithm or for pure educational purposes. Recently CDM is known to be useful for designing a controller with relatively easy procedure and procedures a low order, no overshoot, and robust controller In this paper. CDM is applied to design a controller for the ball and beam system, and the controller is compared to that of LQG method. The result show that CDM gives better controller than LQG method.

• 제어로봇시스템학회논문지
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• 제4권1호
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• pp.32-37
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• 1998

This paper deals with the implementation of a robust multivariable controller using DSP board and the application to real systems. The LQG/LTR (Linear Quadratic Gaussian with Loop Transfer Recovery) controller proposed by Doyle et al.[1,2] is adopted to design the control system. A helicopter propeller setup is taken as the controlled system in the current paper, and the mathematical model is derived to design the multivariable controller. The performance of the controller is evaluated via simulations, and implementation and application to the MIMO system shows that the control performances are satisfactory and superior to those of the PID controller.