• 한국정밀공학회지
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• 제16권5호통권98호
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• pp.169-174
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• 1999

In this paper, the CLQR(Constrained LQR) controller, which considers the actuator saturation in a cross-product term of a given performance index for an automotive active suspension control has been proposed. The effects of actuator saturations have been reflected directly in the states by using the linear relation between the control input and states. The method proposed here is more effective and intuitive compared with the conventional schemes. The CLQR has been applied to designing an automotive active suspension control system to verify its effectiveness and practical aspects.

• 한국항공우주학회지
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• 제41권3호
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• pp.217-225
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• 2013

통상적인 쿼드로터 항공기는 네 개 로터의 회전 속도에 의한 추력 벡터의 크기를 조절하여 자세를 제어한다. 본 연구에서는 기존에 개발된 쿼드로터 항공기의 단점을 개선하기 위해서 사이클릭 피치 제어가 가능한 쿼드로터 항공기를 설계하였다. 콜렉티브와 사이클릭 제어를 사용하는 쿼드로터 항공기는 각 로터의 회전속도를 모두 동일하게 유지함으로써 진동에 의한 구조적인 문제를 해소할 수 있으며, 12개의 자유도를 가지므로 다양한 자세에서의 비행이 가능하기 때문에 자동 비행과 실용적 임무가 가능한 고성능 항공기로서 적합하다. 본 연구에서 개발하는 쿼드로터 항공기의 모델링은 FLIGHTLAB을 이용하여 비선형 모델을 구성하였으며, 각 비행 조건에서의 선형 모델을 이용하여 LQR 제어기 설계 및 비선형 시뮬레이션을 통해 제어기의 성능을 검증하였다. 본 논문은 사이클릭 피치 제어가 가능한 쿼드로터의 모델링 및 시뮬레이션 결과를 보여준다.

• 한국지진공학회논문집
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• 제6권6호
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• pp.49-53
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• 2002

가중행렬은 일반적인 최적 제어 설계에서 우선적으로 필요하지만 일반적으로 제어 설계자들 이 경험적 지식에 의존하고 있다. 이 논문은 구조물의 에너지를 고려한 최적제어기의 가중행렬을 결정하는 체계적인 절차를 제시하였다. 최적제어기는 LQR과 ILQR로 구분될 수 있다. 구조물의 총에너지를 고려한 Lyapunov 함수를 적용하고, 이로부터 유도된 식이 음수라는 상태를 이용하면 가중행렬을 어렵지 않게 구할 수 있다. 이러한 방법으로 산정된 가중행렬을 이용하여 LQR과 ILQR제어기를 설계하고 제어효율을 입증하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.513-517
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• 1995

In this paper, a relation of matrix Q in cost function to distances between the closed-loop and open-loop poles of a multi input controllable systems is studied. Futhmore, the state feedback gain with exact desired eigenvalues in the LQR is computed. The proposed scheme is applied to designing automotive active suspension control system for a half-car model and its performance is compared with the existing LQR control system design methodology.

• 제어로봇시스템학회논문지
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• 제20권2호
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• pp.132-137
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• 2014

In this paper, An LQR controller is proposed for way-point tracking of AUV (Autonomous Underwater Vehicle). The LQR controller aims at tracking a series of way-points which operator registers arbitrarily in advance. It consists of a depth controller and a steering controller and AUV's surge speed is assumed varying to consider the dynamic environment of the underwater. In order to show the performance, a conventional state feedback controller is compared with the proposed controller by the simulation using Matlab/Simulink. The parameters of AUV developed by the author's laboratory are used. In the simulation, we verify that the LQR controller can track all the way-points within 1 m error range under the varying surge speed, which proves the robustness of the LQR controller.

• International Journal of Naval Architecture and Ocean Engineering
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• 제11권2호
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• pp.865-874
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• 2019

A controller for an underwater glider is presented. Considered underwater glider is a torpedo-shaped autonomous underwater vehicle installing adjustable buoyancy bag and movable battery in it. The controller is composed of an LQR controller to maintain zigzag vertical movement for gliding and two PD controllers to control elevator/rudder angles. The LQR controller controls the pumping speed into the buoyancy bag and the moving speed to locate the battery. One of the PD controller controls the elevator angle to assist the LQR controller, and the other controls the rudder angle to adjust the direction of the underwater glider. A reduced order Luenberger observer is adopted to estimates the center of gravity of the glider and the buoyancy mass that are essential but cannot be measured. Mathematical simulation using Matlab proved the validity of the proposed controller to obtain better performance than conventional LQR only controller under the influence of sea current.

• 제어로봇시스템학회논문지
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• 제13권6호
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• pp.574-580
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• 2007

This paper deals with LQR controller design method tor system having complex poles. The proposed method is capable of systematically calculating weighting matrices based on the pole's moving-range and the relational equation between closed-loop pole(s) and weighting matrices. The method moves complex poles to complex poles or two distinct real poles. This will provide much-needed functionality to apply LQR controller. The example shows the feasibility of the proposed method.

• Nuclear Engineering and Technology
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• 제29권1호
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• pp.68-77
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• 1997

The reactor power control system is described in the fashion of the order increased LQR system. To obtain the optimal state feedback gain vectors, the weighting matrix of the performance function should be determined. Since the contentional method has some limitations, stochastic searching methods are investigated to optimize the LQR weighting matrix using the modified genetic algorithm combined with the simulated annealing, a new optimizing tool named the hybrid MGA-SA is developed to determine the weighting parameters of the LQR system. This optimizing tool provides a more systematic approach in designing the LQR system. Since it can be easily incorporated with any forms of the cost function, it also provides the great flexibility in the optimization problems.

• 제어로봇시스템학회논문지
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• 제20권5호
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• pp.551-556
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• 2014

This paper proposes a balancing control and driving control of a bicycle robot based on dynamic modeling of the bicycle robot, which has been derived using the Lagrange equations. For the balancing control of the bicycle robot, a reaction wheel pendulum method has been adopted in this research. By using the dynamics equations of the bicycle robot, an LQR controller has been designed for a balancing and driving control of a bicycle robot. The performance of the balance control is verified experimentally before the driving control, which shows a stable posture within one degree vibrations. To show the dynamic characteristics of the bicycle robot during driving, a trapezoidal velocity trajectory is selected as the references. Through simulations and real experiments, the effectiveness of the proposed algorithm has been demonstrated.

• 전자공학회논문지
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• 제51권2호
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• pp.190-196
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• 2014

본 논문에서는 밸런싱 로봇의 동역학적 모델의 해석으로부터 기울기와 조향이 독립되어 있어 서로 영향을 받지 않는 것을 증명하고, 다변수 시스템에 적합한 제어기로써 두 개의 최적 LQR 제어기 구조를 갖는 제어시스템을 제안하였다. 또한 제안한 제어시스템의 성능을 입증하기 위하여 밸런싱 로봇의 자세제어에 적용하여 모의실험과 실험을 수행하였고, PID 제어기와의 비교평가를 통하여 그 우수성을 검증하였다.