• 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.

• 대한기계학회논문집A
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• 제27권10호
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• pp.1712-1719
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• 2003

This paper concerns on application of active magnetic bearing(AMB) system to levitate the elevation axis of an electro-optical sight mounted on moving vehicles. In such a system, it is desirable to retain the elevation axis within the predetermined air-gap while the vehicle is moving. An optimal base acceleration feedforward control is proposed to reduce the base motion response. In the consideration of the uncertainty of the system model, a filtered-x least-mean-square(FXLMS) algorithm is used to estimate the frequency response function of the feedforward control which cancels base motions. The frequency response function is fitted to an optimal feedforward control. Experimental results demonstrate that the proposed control reduces the air-gap deviation to 27.7% that by feedback control alone.

• 한국소음진동공학회논문집
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• 제21권5호
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• pp.455-460
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• 2011

In this work, an active hybrid mount using piezostack actuator and rubber element is manufactured, and its vibration control performance is evaluated via feedforward control. A hybrid active mount featuring inertia type of piezostack actuator is proposed and manufactured. After describing the configuration of the hybrid mount, a mount system is then constructed. To attenuate vibrations from vibration sources, a feedfoward controller is experimentally implemented to the system. Vibration control performances are evaluated at each mount. Effective control performances such as accelerations are obtained and presented in frequency domains.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.1803-1804
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• 2008

이 논문에서는 임의의 크기를 가진 외란과 모델 불확실이 포함된 2관성계 시스템의 강인 제어기를 설계하고자 한다. 제안된 제어기는 역진 제어 기법을 사용하여, 2-관성계 시스템의 제어하고자 하는 상태 변수의 궤적과 공칭 궤적 사이의 오차를, 정상 상태에서뿐만 아니라 과도 상태에서도 임의의 크기로 줄일 수 있도록 설계될 것이다. 또한 비선형 제어 기법의 일종인 역진 제어 기법을 사용하였지만, 제시된 제어기의 구조는 시불변 선형 상태 궤환(state-feedback) 및 앞먹임(feedforward)의 구조를 가지게 되어 산업용 로봇에 적용될 수 있다는 장점을 가지고 있다. 실제로 이 논문에서는 제어기의 안정성에 대한 증명뿐만 아니라, 실제 로봇에 적용한 결과가 포함될 것이다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 춘계학술대회 논문집
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• pp.85-90
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• 2011

In this work, an active hybrid mount using piezostack actuator and rubber element is manufactured, and its vibration control performance is evaluated via feedforward control. A hybrid active mount featuring inertia type of piezostack actuator is proposed and manufactured. After describing the configuration of the hybrid mount, a mount system is then constructed. To attenuate vibrations from vibration sources, a feedforward controller is experimentally implemented to the system. Vibration control performances are evaluated at each mount. Effective Control performances such as accelerations are obtained and presented in frequency domains.

• 한국정밀공학회지
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• 제25권4호
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• pp.26-31
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• 2008

본 논문은 정밀 위치결정 시스템의 잔류진동을 효과적으로 제거할 수 있는 입력성형기법을 소개하고, 실시간 입력성형기법을 적용하는 방법을 설명하였다. 또한 두 가지 응용 분야에 대한 실험결과를 바탕으로 입력성형기법의 성능을 고찰하였다. 일반적으로 입력성형기법은 정밀 위치결정 시스템에 대해 동작 완료시간을 단축시키는 효과가 있을 뿐만 아니라 위치결정 정밀도를 향상시키는 효과가 있다. 그리고 되먹임제어 방법에 비해 적용방법도 간단하며 저렴하게 구성할 수 있다는 장점이 있으므로 많은 정밀 위치결정 시스템에 유용할 것으로 생각된다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회B
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• pp.3136-3139
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• 2008

The object of the paper is to design two PI controllers. One provides the stable target temperature to the steam reforming reactor in 1kW PEMFC system. The other controls burner to operate within a permissible range of temperature. Feedforward control is applied to obtain temperature stability against disturbances such as changes of operating condition resulted from load change. Step response tests show that these controller work well with an error tolerance of $5^{\circ}C$.

• 한국통신학회논문지
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• 제18권5호
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• pp.634-642
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• 1993

본 논문에서는 로보트 매니퓰레이터 제어를 위하여 시간 지연이 있는 다층 신경회로망(TDNN)의 학습 알고리즘으로 매니퓰레이터의 역동역학 모델을 학습시키고 이것을 앞먹임(Feedforward)제어기로 사용하는 궤적 제어 방법을 새로이 제시하였다. TDNN 구조는 뉴런이 현재 및 과거의 입력 신호로부터 더 많은 정보를 추출할 수 있고 보다 효율적으로 학습할 수 있는 유리한 특징을 가지고 있다. TDNN 신경회로망은 기준 궤적 입력 신호와 비례 미분 제어기의 오차 신호를 각각 정규화하여 받아드린다. TDNN 신경회로망으로 입력되는 정규화 신호는 TDNN 신경회로망의 학습 효율을 향상시키는 것으로 입증되었다. 제안된 제어 방법을 두개의 관절을 가진 평면 로보트 매니퓰레이터에 대하여 적용하고 컴퓨터 시뮬레이션으로 고찰하였다.

• 한국소음진동공학회논문집
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• 제21권8호
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• pp.768-773
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• 2011

This work presents an experimental investigation on vibration control of the active hybrid mount system for naval ships. To reduce unwanted vibrations, this paper proposes an active mount which consists of rubber element, piezostack actuator and inertial mass. The rubber element supports a mass. The piezostack actuator generates a proper control force and supply it to the mount system. To avoid being broken piezostack actuator, an actuator of the proposed mount is devised as an inertial type, in which a piezostack actuator is positioned between inertial mass and rubber element. Vibration control performances of the active mount system are evaluated via experiment. To attenuate the unwanted vibrations transferred from upper mass, the feedforward control is designed. In order to implement a control experiment, the active mount system supported by four active mounts is constructed. For realization of the controller, one-chip board is manufactured and utilized. Subsequently, vibration control performances of the proposed active mount system are experimentally evaluated in frequency domains.

• 대한기계학회논문집A
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• 제24권9호
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• pp.2361-2370
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• 2000

The introduction of inexpensive cylinder pressure sensors provides new opportunities for precise engine control. This paper presents a control strategy of spark advance based upon cylinder pressure of spark ignition engines. A location of peak pressure(LPP) is the major parameter for controlling the spark timing, and also the UP is estimated, using a multi-layer feedforward neural network, which needs only five pressure sensor output voltage samples at -40˚, -20˚, 0˚, 20˚, 40˚ after top dead center. The neural network plays an important role in mitigating the A/D conversion load of an electronic engine controller by increasing the sampling interval from 10 crank angle(CA) to 20˚ CA. A proposed control algorithm does not need a sensor calibration and pegging(bias calculation) procedure because the neural network estimates the UP from the raw sensor output voltage. The estimated LPP can be regarded as a good index for combustion phasing, and can also be used as an MBT control parameter. The feasibility of this methodology is closely examined through steady and transient engine operations to control individual cylinder spark advance. The experimental results have revealed a favorable agreement of individual cylinder optimal combustion phasing.