• 제목/요약/키워드: Feedforward control

검색결과 650건 처리시간 0.026초

전해조 공정의 고급제어에 관한 연구 (A study on advanced control of electrolyzer process)

  • 이종구;박선원;문상봉
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.76-80
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    • 1991
  • This paper presents a merit of feedforward Dyamic Matrix Control(DMC) for electrolyzer process. The electrolyzer consists of anode part and cathode part that are separated by ion membrane. As the electolyzer process consumes a large amount of electricity, electric power change is inevitable in order to take advantage of the cheaper electricity during night. But the electric power change makes the electrolyzer control difficult because the electric power change affect the dynamics of the process. Feedforward DMC treats the electric power change as a load disturbance and gives the weighting value to the disturbance prediction part in the DMC algorithm. Feedforward DC shows better regulation performance than PID control and feedforward-feedback control for electrolyzer process.

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베이스 운동을 받는 능동자기베어링계의 가속도 최적 앞먹임 제어 (Optimal Acceleration Feedforward Control of Active Magnetic Bearing Systems Subject To Base Motion)

  • 강민식
    • 한국정밀공학회지
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    • 제20권9호
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    • pp.84-91
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    • 2003
  • This paper concerns on one-DOF non-rotating active magnetic bearing (AMB) system subject to base motion. In such a system, it is desirable to retain the axis within the predetermined air-gap while the base motion forces the axis to deviate from the desired air-gap. Motivated from this, an optimal acceleration feedforward control is proposed to reduce the base motion response without deteriorating other feedback control performances. Experimental results demonstrate that the proposed optimal feedforward control reduces the standard deviation of the air-gap to 29% that by feedback control alone.

역 히스테리시스 모델을 이용한 압전 구동기의 정밀위치 제어 (Precision Position Control of Piezoactuator Using Inverse Hysteresis Model)

  • 김정용;이병룡;양순용;안경관
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 추계학술대회 논문집
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    • pp.349-352
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    • 1997
  • A Piezoelectric actuator yields hysteresis effect due to its composed ferroelectric. Hysteresis nonlinearity is neglected when a piezoelectric actuator moves with short stroke. However when it moves with long stroke and high frequency, the hysteresis nonlinearity can not be neglected. The hysteresis nonlinearity of piezoelectric actuator degrades the control performance in precision position control. In this paper, in order to improve the control performance of piezoelectric actuator, an inverse modeling scheme is proposed to compensate the hysteresis nonlinearity problem. And feedforward-feedforward-feedback controller is proposed to give a good tracking performance. The Feedforward controller is inverse hysteresis model, and PID control is sued as a feedback controller. To show the feasibility of the proposed controller and hysteresis modeling, some experiments have been carried out. It is concluded hat the proposed control scheme gives good tracking performance.

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외란 상쇄 관측기를 이용한 유도전동기 외란 제어 (Disturbance Control of Induction Motor using Tough Disturbance Cancellation State Observer)

  • 김영춘;조문택
    • 한국산학기술학회논문지
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    • 제7권2호
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    • pp.131-136
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    • 2006
  • 최근 전통적인 PI제어를 적용한 유도전동기의 제어운전시스템이 산업현장에 많이 보급되어 있다. 그러나, 이러한 방법은 파라미터 변동이나 부하외란에 대해 매우 민감하며, 속도 제어기의 이득이 고정되어 전동기 운전 중에 파라미터가 변하거나 스텝상태로 변화하는 부하가 걸리게 되면 안정성과 추종성능이 악화되는 경향이 있다. 본 논문에서는 전동기의 기계적인 파라미터 변화와 함께 외란의 변화에 대하여 강인한 외란상쇄 제어를 고려하였다. 제안한 시스템은 부하토크를 최소차원 상태관측기를 근거로 추정하였다. 따라서 상태관측기를 사용한 속도제어기는 토크에 대한 Feedforward 루프를 조건으로 사용할 수 있으므로 강인한 속도제어 시스템을 실현할 수 있다. 또한 스텝입력 상태의 외란에 대하여 최적제어 시스템 설계를 하였다.

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Feedforward 보상에 근거한 3개의 탱크 액체 레벨 시스템의 통제 분리 (Decoupling Control of Three-tank Liquid Level Systems Based on Feedforward Compensation)

  • 석학문
    • 전자공학회논문지 IE
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    • 제45권3호
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    • pp.36-41
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    • 2008
  • 실제 프로세스 제어 중의 3개의 탱크 액체가 이 결합 시스템을 통제하는 작업 원리에 근거하여 두 개의 입력과 두 개의 출력 시스템의 수학적 모델을 제시하였다. 귀로 사이의 결합 작용을 한 종류의 형식의 요소로 간주하고 Feedforward 보상에 근거하여 정형화한 형태의 통제 분리 방법을 제시하였다. 그리고 두 개의 입출력 결합 시스템에 대해 통제 분리를 진행하고 마지막으로 프로그래밍을 통해 이 통제 분리 프로세스의 실험을 수행하였다. 또한 시뮬레이션 결과는 그 방법이 양호한 통제 분리 효과를 얻을 수 있다는 것을 나타내었다.

Computed-Torque 제어와 Feedforward 역학 보상 제어 방법의 비교 평가 (The comparison of the Feedforward compensation and Computed-Torque control schemes)

  • 정용욱;배준경;박종국
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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    • pp.68-71
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    • 1988
  • The purpose of this paper is to compare with the simulated results of two control algorithms control algorithm in the real time, based upon the model. These control schemes are "Computed-torque" and "Feedforward-Dynamics compensation", and have been simulated on the CMU DD Arm II.

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가속도 전향보상을 이용한 유도전동기의 속도제어 (Speed Control of an Induction Motor using Acceleration Feedforward Compensation)

  • 김상훈;이재왕
    • 산업기술연구
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    • 제20권B호
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    • pp.175-182
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    • 2000
  • In this paper, a novel speed control strategy using an acceleration feedforward compensation by the estimation of the system inertia is proposed. With the proposed method, the enhanced speed control performance can be achieved and the speed response against the disturbance torque can be improved for the vector-controller induction motor drive systems in which the bandwidth of the speed controller cannot be made large enough. The experimental results confirm the validity of the proposed strategy.

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Fuzzy Control with Feedforward Compensator of Superheat in a Variable Speed Refrigeration System

  • Hua, Li;Lee, Dong-Woo;Jeong, Seok-Kwon;Yoon, Jung-In
    • Journal of Advanced Marine Engineering and Technology
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    • 제31권3호
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    • pp.252-262
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    • 2007
  • In this paper, we suggest fuzzy control with feedforward compensator of superheat to progress both energy saving and coefficient of performance(COP) in a variable speed refrigeration system. The capacity and superheat are controlled simultaneously and independently by an inverter and an electronic expansion valve respectively for saving energy and improving COP in the system. By adopting the fuzzy control. the controller design for the capacity and superheat is possible without depending on a dynamic model of the system. Moreover, the feedforward compensator of the superheat can eliminate influence of the interfering loop between capacity and superheat. Some experiments are conducted to design the appropriate fuzzy controller by an iteration manner. The results show that the proposed fuzzy controller with the compensator can establish good control performances for the complicated refrigeration system with inherent strong non-linearity.

Stability Evaluation for Estimated Impulse Response with a Feedforward Adaptive Control System

  • Oh, Kyung-Hee;Lee, Yoo-Hyun;Kim, Chun-Duck
    • The Journal of the Acoustical Society of Korea
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    • 제21권2E호
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    • pp.56-62
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    • 2002
  • This paper describes a new method of stability evaluation for an estimated impulse response of a plant. It is difficult for the conventional stability evaluation equation to be used in an adaptive feedforward control system which uses an immeasurable acoustic transfer system of a real plant, because the equation requires an exact true impulse response of the plant. Therefore, the usefulness of the conventional equation is limited in a computer simulation. The proposed method is applicable to not only a computer simulation but also a real feedforward adaptive control system. It is found that the system is stable when the value of misadjustment is below -10 dB through computer simulations and experiments. And also, it is proved that the error signal is stable through the verification using filtered reference and filtered error LMS methods.

인공신경망 Feedforward 제어기를 이용한 좌심실 보조장치의 제어실험 (Control of Left Ventricular Assist Device Using Neural Network Feedforward Controller)

  • 정성택;김훈모;김상현
    • 한국정밀공학회지
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    • 제15권4호
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    • pp.83-90
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    • 1998
  • In this paper, we present neural network for control of Left Ventricular Assist Device(LVAD) system with a pneumatically driven mock circulation system. Beat rate(BR), Systole-Diastole Rate(SDR) and flow rate are collected as the main variables of the LVAD system. System modeling is completed using the neural network with input variables(BR, SBR, their derivatives, actual flow) and output variable(actual flow). It is necessary to apply high perfomance control techniques, since the LVAD system represent nonlinear and time-varing characteristics. Fortunately. the neural network can be applied to control of a nonlinear dynamic system by learning capability In this study, we identify the LVAD system with neural network and control the LVAD system by PID controller and neural network feedforward controller. The ability and effectiveness of controlling the LVAD system using the proposed algorithm will be demonstrated by experiment.

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