• 제목/요약/키워드: LQR control

검색결과 259건 처리시간 0.03초

제동력 향상을 위한 FACTS기기제어 (FACTS controller design for improving Power System damping)

  • 윤종수;이근준;문건우;윤석호;추진부
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1997년도 하계학술대회 논문집 D
    • /
    • pp.835-837
    • /
    • 1997
  • This paper presents a control system design for the STATCON of FACTS devices by LQR, LQG control scheme to enhance small-signal stability in the power system, the feature of this FACTS controller is coordinated with generator exciter controller(AVR, PSS) to improve the total power system stability and performance.

  • PDF

구조물의 에너지 확률분포를 이용한 능동제어 알고리듬 (Active Control Algorithm Using Probability Distribution of the Energy of Structure)

  • 황재승;이상현;박지훈;민경원
    • 한국지진공학회논문집
    • /
    • 제5권1호
    • /
    • pp.73-80
    • /
    • 2001
  • 구조물이 가지는 에너지의 확률밀도함수를 이용한 능도제어 알고리듬을 제안한다. 구조물의 에너지는 Rayleigh 확률분포를 가지는 것으로 가정된다. 이것은 에너지가 항상 양의 값을 가지고 최소에너지가 발생할 확률은 1이라는 조건을 Rayleigh 확률분포가 만족시킨다는 사실에 근거한다. 제어력의 크기는 가정된 확률밀도함수에 따라 구조물의 에너지가 설계자에 의해 설정된 에너지 임계값을 넘을 확률의 크기에 비례하도록 산정되며, 제어력의 방향은 Lyapunov 제어기 설계기법에 따라 결정된다. 제시된 알고리듬은 LQR 제어기와 비교하여 최대응답을 줄이는 효과를 가지며, 제어력의 임계를 고려할 수 있는 장점을 가진다. 또한 Lyapunov 제어기에서 발생가능한 채터링(chattering)현상을 피할 수 있다.

  • PDF

LuGre 모델에 기반한 펜듀봇의 마찰력 보상 (Friction Compensation of the Pendubot based on the LuGre Model)

  • 엄명환;김철중;좌동경
    • 전기학회논문지
    • /
    • 제60권4호
    • /
    • pp.848-855
    • /
    • 2011
  • This paper proposes a method to reduce the limit cycle phenomenon that appears in the steady-state response of a pendubot system, when it is controlled by a state feedback controller based on the linearized system model. For this, we employed the compensator which estimates the friction based on the LuGre model in the LQR control. The proposed compensation method is validated by experiments for a pendubot system, which shows that the external disturbance as well can be efficiently compensated.

Semi-active control of seismic response of a building using MR fluid-based tuned mass damper

  • Esteki, Kambiz;Bagchi, Ashutosh;Sedaghati, Ramin
    • Smart Structures and Systems
    • /
    • 제16권5호
    • /
    • pp.807-833
    • /
    • 2015
  • While tuned mass dampers are found to be effective in suppressing vibration in a tall building, integrating it with a semi-active control system enables it to perform more efficiently. In this paper a forty-story tall steel-frame building designed according to the Canadian standard, has been studied with and without semi-active and passive tuned mass dampers. The building is assumed to be located in the Vancouver, Canada. A magneto-rheological fluid based semi-active tuned mass damper has been optimally designed to suppress the vibration of the structure against seismic excitation, and an appropriate control procedure has been implemented to optimize the building's semi-active tuned mass system to reduce the seismic response. Furthermore, the control system parameters have been adjusted to yield the maximum reduction in the structural displacements at different floor levels. The response of the structure has been studied with a variety of ground motions with low, medium and high frequency contents to investigate the performance of the semi-active tuned mass damper in comparison to that of a passive tuned mass damper. It has been shown that the semi-active control system modifies structural response more effectively than the classic passive tuned mass damper in both mitigation of maximum displacement and reduction of the settling time of the building.

외륜 이동로봇의 균형제어 알고리즘 (Balancing Control Algorithm for a Single-Wheeled Mobile Robot)

  • 이현탁;박희재
    • 한국생산제조학회지
    • /
    • 제26권1호
    • /
    • pp.144-149
    • /
    • 2017
  • There have been lots of interest on service and entertainment robots. To ensure that robots work in harmony with humans, their stability and compactness are some of the key issues. Obviously, robots with fewer wheels occupy a smaller floor area compared to those with more wheels. In addition, robots with fewer wheels, whose posture stabilities are maintained by feedback control, are stable even under larger accelerations and/or higher locations of the center of mass. To facilitate controller design, it is assumed that both pitch and roll dynamics are decoupled. The dynamic equations of motion for the proposed robot are derived from the Euler-Lagrange equation. To obtain the optimal balancing control law, linear quadratic regulator control methods are applied to the linearized dynamic equations. Simulation and experimental results verify the effectiveness and performance of the proposed balancing control algorithm for a single-wheeled mobile robot.

Fuzzy-sliding mode control of a full car semi-active suspension systems with MR dampers

  • Zheng, L.;Li, Y.N.;Baz, A.
    • Smart Structures and Systems
    • /
    • 제5권3호
    • /
    • pp.261-277
    • /
    • 2009
  • A fuzzy-sliding mode controller is presented to control the dynamics of semi-active suspension systems of vehicles using magneto-rheological (MR) fluid dampers. A full car model is used to design and evaluate the performance of the proposed semi-active controlled suspension system. Four mixed mode MR dampers are designed, manufactured, and integrated with four independent sliding mode controllers. The siding mode controller is designed to decrease the energy consumption and maintain robustness. In order to overcome the chattering of the sliding mode controllers, a fuzzy logic control strategy is merged into the sliding mode controller. The proposed fuzzy-sliding mode controller is designed and fabricated. The performance of the semi-active suspensions is evaluated in both the time and frequency domains. The obtained results demonstrate that the proposed fuzzy-sliding mode controller can effectively suppress the vibration of vehicles and improve their ride comfort and handling stability. Furthermore, it is shown that the "chattering" of the sliding mode controller is smoothed when it is integrated with a fuzzy logic control strategy. Although the cost function of the fuzzy-sliding mode control is a slightly higher than that of a classical LQR controller, the control effectiveness and robustness are enhanced considerably.

Modeling and Posture Control of Lower Limb Prosthesis Using Neural Networks

  • Lee, Ju-Won;Lee, Gun-Ki
    • Journal of information and communication convergence engineering
    • /
    • 제2권2호
    • /
    • pp.110-115
    • /
    • 2004
  • The prosthesis of current commercialized apparatus has considerable problems, requiring improvement. Especially, LLP(Lower Limb Prosthesis)-related problems have improved, but it cannot provide normal walking because, mainly, the gait control of the LLP does not fit with patient's gait manner. To solve this problem, HCI((Human Computer Interaction) that adapts and controls LLP postures according to patient's gait manner more effectively is studied in this research. The proposed control technique has 2 steps: 1) the multilayer neural network forecasts angles of gait of LLP by using the angle of normal side of lower limbs; and 2) the adaptive neural controller manages the postures of the LLP based on the predicted joint angles. According to the experiment data, the prediction error of hip angles was 0.32[deg.], and the predicted error of knee angles was 0.12[deg.] for the estimated posture angles for the LLP. The performance data was obtained by applying the reference inputs of the LLP controller while walking. Accordingly, the control performance of the hip prosthesis improved by 80% due to the control postures of the LLP using the reference input when comparing with LQR controller.

지면효과익기의 비행특성 해석 및 비행제어 방식에 관한 연구 (A Study on Flight Characteristics and Flight Control Methodology for a Wing In Ground Effect Vehicle)

  • 송용규
    • 한국항행학회논문지
    • /
    • 제5권1호
    • /
    • pp.19-25
    • /
    • 2001
  • 본 논문에서는 지면효과익기의 종운동 비행특성을 해석하고 비행제어 방식에 관한 비교연구를 한다. 먼저 비행 동특성을 해석하기 위해 지면효과익기가 지닌 것으로 알려진 비선형 특성을 제한 사이클을 통하여 살펴보고 또 선형화되었을 때의 특성과 연관하여 살펴본다. 또한 제어방식을 비교연구하기 위해 순항시에 고도오차가 있는 경우와 상승, 순항, 하강모드에 대한 명령추종관점에서 제어시스템의 성능 및 제어입력 실현 가능성을 비교한다. 제어입력으로는 승강타, 추력제어, 플랩 등의 조합을 고려하고 제어기법으로는 선형이차레귤레이터에 기반한 출력명령추종제어를 적용한다.

  • PDF

MR 유체와 압전스택을 특징으로하는 새로운 형태의 능동 엔진마운트 시스템 (A New Type of Active Engine Mount System Featuring MR Fluid and Piezostack)

  • 이동영;손정우;최승복
    • 한국소음진동공학회:학술대회논문집
    • /
    • 한국소음진동공학회 2009년도 춘계학술대회 논문집
    • /
    • pp.444-449
    • /
    • 2009
  • An engine is one of the most dominant noise and vibration sources in vehicle systems. Therefore, in order to resolve noise and vibration problems due to engine, various types of engine mounts have been proposed. This work presents a new type of active engine mount system featuring a magneto-rheological (MR) fluid and a piezostack actuator. As a first step, six degrees-of freedom dynamic model of an in-line four-cylinder engine which has three points mounting system is derived by considering the dynamic behaviors of MR mount and piezostack mount. In the configuration of engine mount system, two MR mounts are installed for vibration control of roll mode motion whose energy is very high in low frequency range, while one piezostack mount is installed for vibration control of bounce and pitch mode motion whose energy is relatively high in high frequency range. As a second step, linear quadratic regulator (LQR) controller is synthesized to actively control the imposed vibration. In order to demonstrate the effectiveness of the proposed active engine mount, vibration control performances are evaluated under various engine operating speeds (wide frequency range) and presented in time domain.

  • PDF

신경회로망을 이용한 유연성 단일 링크 로봇 매니퓰레이터의 진동제어 (Vibration Control a Flexible Single Link Robot Manipulator Using Neural Networks)

  • 탁한호;이상배
    • 한국항해학회지
    • /
    • 제21권3호
    • /
    • pp.55-66
    • /
    • 1997
  • In this paper, applications of neural networks to vibration control of flexible single link robot manipulator are ocnsidered. The architecture of neural networks is a hidden layer, which is comprised of self-recurrent one. Tow neural networks are utilized in a control system ; one as an identifier is called neuro identifier and the othe ra s a controller is called neuro controller. The neural networks can be used to approximate any continuous function to any desired degree of accuracy and the weights are updated by dynamic error-backpropagation algorithm(DEA). To guarantee concegence and to get faster learning, an approach that uses adaptive learning rates is developed by introducing a Lyapunov function. When a flexible manipulator is ratated by a motor through the fixed end, transverse vibration may occur. The motor torque should be controlle dinsuch as way, that the motor is rotated by a specified angle. while simulataneously stabilizing vibration of the flexible manipulators so that it is arrested as soon as possible at the end of rotation. Accurate vibration control of lightweight manipulator during the large body motions, as well as the flexural vibrations. Therefore, dynamic models for a flexible single link manipulator is derived, and LQR controller and nerual networks controller are composed. The effectiveness of the proposed nerual networks control system is confirmed by experiments.

  • PDF