• 제목/요약/키워드: feedforward loop control

검색결과 100건 처리시간 0.028초

외란 상쇄 관측기를 이용한 유도전동기의 부하 토오크 제어에 관한 연구 (A study on Control toad Torque of Induction Motor using a Disturbance Cancellation Observer)

  • 황락훈;나승권
    • 한국산학기술학회논문지
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    • 제10권1호
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    • pp.58-66
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    • 2009
  • 본 논문은 전동기에서 기계적인 파라미터의 변화와 함께 외란의 변화에 대하여 외란상쇄 피드포워드 루프 제어를 적용한 유도전동기의 벡터제어를 고려하였다. 제안한 시스템에서 부하토크는 유도전동기의 토크를 최소차원 상태관측기를 근거로 하여 추정한다. 최소차원 상태관측기를 통해 추정된 부하토크에 의해 토크 전류를 얻어내고 토크 전류분을 피드포워드 보상해 줌으로서 외란에 의한 영향을 상쇄시켜 외란이 유입되거나 부하가 가변되는 등의 조건에서도 안정되게 동작하는 강인한 속도제어 시스템을 실현할 수 있다. 본 연구에서는 속도 센서가 없이 검출된 전압과 전류에 의해 속도를 추정하여 사용 하므로서 신뢰도를 높일 수 있도록 하였다. 제시한 제어기의 타당성을 입증하기 위하여 Matlab Simulink를 이용하여 시뮬레이션을 수행하여 타당성과 안정성을 검토하였고, 이를 실제 시스템을 구성하여 ADMC300를 이용하여 실험을 수행한 결과 기존의 시스템에 비하여 강인한 시스템으로 구동됨을 증명할 수 있었다.

신경회로망을 이용한 열성층 풍동내의 온도 분포 제어 (Control of temperature distribution in a thermal stratified tunnel by using neural networks)

  • 부광석;김경천
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.147-150
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    • 1996
  • This paper describes controller design and implementation method for controlling the temperature distribution in a thermal stratified wind tunnel(TSWT) by using a neural network algorithm. It is impossible to derive a mathematical model of the relation between heat inputs and temperature outputs in the test section of the TSWT governed by a nonlinear turbulent flow. Thus inverse neural network models with a multi layer perceptron structure are used in a feedforward control loop and feedback control loop to generate an arbitrary temperature distribution in the test section of the TSWT.

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자기부상열차용 DC-DC 전원장치에 관한 연구 (A Study on DC-DC Power Supply for Magnetically Levitated Vehicle)

  • 정춘병;전기영;이훈구;한경희
    • 조명전기설비학회논문지
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    • 제18권6호
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    • pp.128-135
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    • 2004
  • 본 논문은 자기부상열차용 전원의 문제점을 개선시키기 위해서 다중루프 제어기를 제시하였다. 제시된 제어기는 3개의 부분으로 구성되어 있다. 첫 번째는 입력전압의 변동에 대하여 보상할 수 있는 Feed Forward제어기이며 두 번째는 리액터 전류와 출력 전류의 차를 보상하며, 세 번째는 비례적분제어기를 사용하여 출력전압에 포함된 리플을 감소시키므로써, 안정화된 시스템을 구현하였다. 이 시스템의 특성을 확인하기 위해서 Matlab Simulink와 고성능 DSP소자인 TMS320F240을 이용하여 비교 분석하였다.

Feedforward actuator controller development using the backward-difference method for real-time hybrid simulation

  • Phillips, Brian M.;Takada, Shuta;Spencer, B.F. Jr.;Fujino, Yozo
    • Smart Structures and Systems
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    • 제14권6호
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    • pp.1081-1103
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    • 2014
  • Real-time hybrid simulation (RTHS) has emerged as an important tool for testing large and complex structures with a focus on rate-dependent specimen behavior. Due to the real-time constraints, accurate dynamic control of servo-hydraulic actuators is required. These actuators are necessary to realize the desired displacements of the specimen, however they introduce unwanted dynamics into the RTHS loop. Model-based actuator control strategies are based on linearized models of the servo-hydraulic system, where the controller is taken as the model inverse to effectively cancel out the servo-hydraulic dynamics (i.e., model-based feedforward control). An accurate model of a servo-hydraulic system generally contains more poles than zeros, leading to an improper inverse (i.e., more zeros than poles). Rather than introduce additional poles to create a proper inverse controller, the higher order derivatives necessary for implementing the improper inverse can be calculated from available information. The backward-difference method is proposed as an alternative to discretize an improper continuous time model for use as a feedforward controller in RTHS. This method is flexible in that derivatives of any order can be explicitly calculated such that controllers can be developed for models of any order. Using model-based feedforward control with the backward-difference method, accurate actuator control and stable RTHS are demonstrated using a nine-story steel building model implemented with an MR damper.

이중 학습에 의한 선형동기모터의 위치제어 (Position Control of Linear Synchronous Motor by Dual Learning)

  • 박정일;서성호;울루구벡
    • 한국정밀공학회지
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    • 제29권1호
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    • pp.79-86
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    • 2012
  • This paper proposes PID and RIC (Robust Internal-loop Compensator) based motion controller using dual learning algorithm for position control of linear synchronous motor respectively. Its gains are auto-tuned by using two learning algorithms, reinforcement learning and neural network. The feedback controller gains are tuned by reinforcement learning, and then the feedforward controller gains are tuned by neural network. Experiments prove the validity of dual learning algorithm. The RIC controller has better performance than does the PID-feedforward controller in reducing tracking error and disturbance rejection. Neural network shows its ability to decrease tracking error and to reject disturbance in the stop range of the target position and home.

강화학습에 의한 선형동기 모터의 고정밀 제어 (High-Accuracy Motion Control of Linear Synchronous Motor Using Reinforcement Learning)

  • 정승현;박정일
    • 한국정밀공학회지
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    • 제28권12호
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    • pp.1379-1387
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    • 2011
  • A PID-feedforward controller and Robust Internal-loop Compensator (RIC) based on reinforcement learning using random variable sequences are provided to auto-tune parameters for each controller in the high-precision position control of PMLSM (Permanent Magnet Linear Synchronous Motor). Experiments prove the well-tuned controller could be reduced up to one-fifth level of tracking errors before learning by reinforcement learning. The RIC compared to the PID-feedforward controller showed approximately twice the performance in reducing tracking error and disturbance rejection.

일산화탄소 농도 예측 기능을 사용한 터널 환기 제어 알고리즘 (A Tunnel Ventilation Control Algorithm by Using CO Density Prediction Algorithm)

  • 한도영;윤진원
    • 설비공학논문집
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    • 제16권11호
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    • pp.1035-1043
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    • 2004
  • For a long road tunnel, a tunnel ventilation system may be used in order to reduce the pollution level below the required level. To control the tunnel pollution level, a closed loop control algorithm may be used. The feedforward prediction algorithm and the cascade control algorithm were developed to regulate the CO level in a tunnel. The feedforward prediction algorithm composed of the traffic estimation algorithm and the CO density prediction algorithm, and the cascade control algorithm composed of the jet fan control algorithm and the air velocity setpoint algorithm. The verification of control algorithms was carried out by dynamic models developed from the actual tunnel data. The simulation results showed that control algorithms developed for this study were effective for the control of the tunnel ventilation system.

Robust control system design for a flexible arm by a two-degree-of-freedom compensator

  • Shimomoto, Y.;Kobayashi, T.;Miyaura, S.;Ishimatsu, T.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.105-108
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    • 1993
  • This paper is concerned with a two-degree-offreedom control system design for a flexible arm, a two-degree-of-frecdom control system can achieve a robust stability specification and a control performance specification independently. By this property we improve the control performance with maintaining the same robust stability level as that of the onc-dcgree-of-freedom control system. At First we design a two-degree-of-fteedom control system which includes a feedforward controller and a feedback controller. The feedforward controller can be given by specifying a transfer function of a dcsired closed-loop model. We obtain a feedback controller by solving a mixed sensitivity problem. Several numerical results show that two-degree-of-freedom control systems acheive a better control performance than that of one-degree-of-freedom control systems.

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A Seamless Transfer Algorithm Based on Frequency Detection with Feedforward Control Method in Distributed Generation System

  • Kim, Kiryong;Shin, Dongsul;Lee, Jaecheol;Lee, Jong-Pil;Yoo, Dong-Wook;Kim, Hee-Je
    • Journal of Power Electronics
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    • 제15권4호
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    • pp.1066-1073
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    • 2015
  • This paper proposes a control strategy based on the frequency detection method, comprising a current control and a feed-forward voltage control loop, is proposed for grid-interactive power conditioning systems (PCS). For continuous provision of power to critical loads, PCS should be able to check grid outages instantaneously. Hence, proposed in the present paper are a frequency detection method for detecting abnormal grid conditions and a controller, which consists of a current controller and a feedforward voltage controller, for different operation modes. The frequency detection method can detect abnormal grid conditions accurately and quickly. The controller which has current and voltage control loops rapidly helps in load voltage regulation when grid fault occurs by changing reference and control modes. The proposed seamless transfer control strategy is confirmed by experimental results.

Design of Digital Controller for Uninterruptible Power Supply Using Disturbance Observer

  • Cho, Jun-Seok;Lee, Seung-Yo;Mok, Hyung-Soo;Choe, Gyu-Ha
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1998년도 Proceedings ICPE 98 1998 International Conference on Power Electronics
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    • pp.830-835
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    • 1998
  • This paper describes a new digital control method of 3-phase PWM inverter with LC filter for uninterruptible power supply(UPS). The overall control system is based on the dead beat control, which has the minor loop of current control within the voltage control major loop. In this paper, the full-order disturbance observer is proposed to compensate the disturbances generated due to a sudden change of load currents. The proposed disturbance observer is composed of dead beat observer which estimates state values within a finite time, and cancels the disturbances by adding feedforward compensation loop in the control system. In addition, on order to remove a defect of oscillation generated in output of conventional dead beat controller, a modified dead beat algorithm is proposed in this paper.

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