• 제목/요약/키워드: Model Following Control

검색결과 938건 처리시간 0.033초

기준모델 추종 자기 구성 제어기 (Reference Model Following Self-Organizing Controller)

  • 권춘기;배상욱;박태홍;박귀태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 정기총회 및 추계학술대회 논문집 학회본부
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    • pp.329-331
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    • 1993
  • A new RMFSOC(Reference Model Following Self-Organizing Controller) is proposed. It is composed by adding the reference model and decision rule to the Mamdani's SOC. The reference model is introduced to explicitly specify the control performance. The self-organizing level of the RMFSOC organizes the control rule which makes the process output follow the reference output generated by the reference model. In order to avoid unnecessary control rule modification, a decision rule is also introduced to determine whether the control rule modification is needed or not.

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GMDH 기법에 의한 모델추종형 비선형 제어시스템 구성에 관한 연구 (A Design on Model Following Nonlinear Control System Using GMDH)

  • 황창선;김문수;김동완;이경흥;심재식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 정기총회 및 추계학술대회 논문집 학회본부
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    • pp.326-328
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    • 1993
  • Modelling theory, based on differential equations, is not an adequate tool for solving the problems of complex system. Identification of complex system using GMDH(group method of data handling) is more appropriate for this problems. In this paper, GMDH algorithm is used to identify the nonlinear plant and to design model following nonlinear control system. Simulation for the DC motor show the good performance of model following nonlinear control system.

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인공 포텐셜 장을 이용한 군집 로봇의 대형 제어 (Formation Control for Swarm Robots Using Artificial Potential Field)

  • 김한솔;주영훈;박진배
    • 한국지능시스템학회논문지
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    • 제22권4호
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    • pp.476-480
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    • 2012
  • 본 논문에서는 선도 로봇을 추종하는 군집 로봇의 대형 제어를 인공 포텐셜 장을 사용하여 제안한다. 또한, 인공 포텐셜 장은 물리적으로 해석하기 쉬운 전기장을 모델링하여 구성하고, 장애물을 더욱 효과적으로 모델링하기 위해서, 장애물의 모양에 따라 전기장의식을 달리한다. 제안하는 방법은 선도 로봇의 경로를 인공 포텐셜 장을 통해 계획한 뒤, 선도 로봇을 추종 로봇이 뒤따라가는 형태로 구성된다. 마지막으로 시뮬레이션 예제를 통해 제안하는 기법의 타당성을 검증한다.

신경회로망을 이용한 부하추종운전중의 차세대 원자로 모델링 (Nuclear Reactor Modeling in Load Following Operations for Korea Next Generation PWR with Neural Network)

  • 이상경;장진욱;성승환;이은철
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권9호
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    • pp.567-569
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    • 2005
  • NARX(Nonlinear AutoRegressive with eXogenous input) neural network was used for prediction of nuclear reactor behavior which was influenced by control rods in short-term period and also by the concentration of xenon and boron in long-term period in load following operations. The developed model was designed to predict reactor power, xenon worth and axial offset with different burnup states when control rods and boron were adjusted in load following operations. Data of the Korea Next Generation PWR were collected by ONED94 code. The test results presented exhibit the capability of the NARX neural network model to capture the long term and short term dynamics of the reactor core and the developed model seems to be utilized as a handy tool for the use of a plant simulation.

Fault-Tolerant Control for 5L-HNPC Inverter-Fed Induction Motor Drives with Finite Control Set Model Predictive Control Based on Hierarchical Optimization

  • Li, Chunjie;Wang, Guifeng;Li, Fei;Li, Hongmei;Xia, Zhenglong;Liu, Zhan
    • Journal of Power Electronics
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    • 제19권4호
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    • pp.989-999
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    • 2019
  • This paper proposes a fault-tolerant control strategy with finite control set model predictive control (FCS-MPC) based on hierarchical optimization for five-level H-bridge neutral-point-clamped (5L-HNPC) inverter-fed induction motor drives. Fault-tolerant operation is analyzed, and the fault-tolerant control algorithm is improved. Adopting FCS-MPC based on hierarchical optimization, where the voltage is used as the controlled objective, called model predictive voltage control (MPVC), the postfault controller is simplified as a two layer control. The first layer is the voltage jump limit, and the second layer is the voltage following control, which adopts the optimal control strategy to ensure the current following performance and uniqueness of the optimal solution. Finally, simulation and experimental results verify that 5L-HNPC inverter-fed induction motor drives have strong fault tolerant capability and that the FCS-MPVC based on hierarchical optimization is feasible.

가변구조 적응모델 추종제어 시스템에 관한 연구 (A Study on the Variable Structure Adaptive Model Following Control Systems)

  • 허노재;최종문;한만춘
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1983년도 하계학술회의강연.논문초록집
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    • pp.135-138
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    • 1983
  • This paper studies a variable structure adaptive model following control system which can control a plant in which the parameters of the controlled plant can not be estimated because they vary with time and in which the controlled plant has noise. The values of the feedback gain matrices for given states are obtained the equivalent control law, and the adaptive controller has been designed using the adaptive mechanism which switches the matrices. The adaptive controller minimizes the state error vector, that is, the difference between the state vector of the model and the state vector of the controlled plant. A controlled plant which has time varying parameters, a controlled plant which has only noise, and a controlled plant which has both have been controlled by the designed adaptive controller. The continuous single input-output system has been analysed by computer. This control system may be used to control practical systems by the addition of a microcomputer.

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Model Following Sliding-Mode Control of a Six-Phase Induction Motor Drive

  • Abjadi, Navid R.;Markadeh, Gholamreza Arab;Soltan, Jafar
    • Journal of Power Electronics
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    • 제10권6호
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    • pp.694-701
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    • 2010
  • In this paper an effective direct torque control (DTC) and stator flux control is developed for a quasi six-phase induction motor (QIM) drive with sinusoidally distributed windings. Combining sliding-mode (SM) control and adaptive input-output feedback linearization, a nonlinear controller is designed in the stationary reference frame, which is capable of tracking control of the stator flux and torque independently. The motor controllers are designed in order to track a desired second order linear reference model in spite of motor resistances mismatching. The effectiveness and capability of the proposed method is shown by practical results obtained for a QIM supplied from a voltage source inverter (VSI).

랜덤액세스 장치의 속도성능 향상을 위한 모델추종 제어기의 적용 (Model-Following Control in Random Access Deviecs for Velocity Performance Enhancement)

  • 이정현;박기환;김수현;곽윤근
    • 대한기계학회논문집A
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    • 제20권1호
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    • pp.115-126
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    • 1996
  • In the time optimal control problem, bang-bang control has been used becaese it is the theoretical time minimum solution. However, to improve tracking speed performance in the time optimal control, it is important to select a switching point accurately which makes the velocity zero near the target track. But it is not easy to select the swiching point accurately because of the damping coefficient variation and uncertainties of modeling an actual system. The Adaptive model following control(AMFC) is implemented to relieve the difficulty and inconvenience of this task. The AMFC and make the controlled plant follow as closely as possible to a desired reference model whose switching point can be calculated easily and accurately, assuring the error between the states of the reference model and those of the controlled plant appoaches zero. The hybrid control method composed of AMFC and PID is applied to a tracking actuator of the magneto optical disk drive(MODD) in random access devices to improve its slow tracking performance. According to the simulaion and experimental results, the average tracking time as small as 20ms is obtained for a 3.5 magneto-optical disk drive. The AMFC also can be applied for other random access devices to improve the average tracking performance.

Implementation of Ship Trajectory Following Algorithm

  • Wonjin Choi;Seung-Hwan Jun
    • 한국항해항만학회지
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    • 제47권2호
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    • pp.49-56
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    • 2023
  • As interest in autonomous ships continues to grow, researchers around the world are dedicating themselves to the development of relevant technologies. However, these technologies are not yet perfect. Several technical problems remain unresolved. To address these problems, this study presents the implementation of a ship trajectory algorithm for group navigation, where followers can navigate by following the trajectory of a leader. The algorithm works by storing the leader's trajectory as a follow-point and by calculating the azimuth using the line-of-sight guidance law to reach it. A course-keeping controller based on PD control is implemented to follow the target course and a speed control algorithm is designed to prevent collisions. Sea experiments were conducted using 1 m class small RC model boats to verify the proposed algorithm. The follower successfully navigated by following the leader's trajectory and maintained the designated distance to the forward boat. This study is significant in that it implements an algorithm for the follower to follow the trajectory of the leader rather than directly following it as in conventional methods, and verifies it through sea experiments.

모델 알고리즘 제어를 이용한 이동 로봇의 경로 추적 제어 (Path Following Control For Mobile Robots Using Model Algorithm Control)

  • 장원량;정길도
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.261-262
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    • 2007
  • This paper proposed a model algorithm control (MAC) method for trajectory tracking control of the differentially steeredwheeled mobile robots (WMRs) subject to nonholonomic constraint. The dynamic model of the wheeled mobile robot is presented and used as the model to be controlled. The performance of the proposed control algorithm is verified via computer simulations in which the WMR is controlled to track several different reference paths. It is shown that the control strategy is feasible.

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