• 제목/요약/키워드: Feed-forward Controller

검색결과 128건 처리시간 0.026초

능동 샤시 진동 제어가 실내 엔진 부밍 소음에 미치는 영향 (The Effect of Active Chassis Vibration Control on the Engine Booming Noise)

  • 정병보;박만복;이용욱;박영진;이종원;강구태;채창국
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.991-995
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    • 2002
  • 차량 실내에서 발생하는 엔진 부밍 소음은 엔진의 진동이 샤시로 전달되어 구조 진동의 형태로 발생하는 구조소음이다. 본 연구에서는 이러한 엔진 부밍 소음과 그 원인이 되는 엔진 진동 사이의 관계를 알아보고자 엔진 마운트 중 한 위치에서 차체로 전달되는 엔진 진동을 줄일 경우 실내 엔진 부밍 소음의 변화를 고찰하였다. 이를 위하여 제어용 구동기를 제작하고 feed-forward 와 feed-back 제어기를 혼합한 hybrid 제어기를 적용하여 실차 실험을 수행하였다.

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MR 유체를 이용한 제어 가능한 차량용 햅틱 노브 (Controllable Haptic Knob for Vehicle Instrument Using MR Fluids)

  • 김찬중;한영민;성금길;최승복
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.387-392
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    • 2007
  • The paper presents control performance of a magnetorheological (MR) fluid-based haptic knob which is applicable to invehicle comfort functions. As a first step, MR fluid-based haptic knob is devised to be capable of both rotary and push motions with a single device. Under consideration of spatial limitation, design parameters are optimally determined to minimize a reciprocal of control torque using finite element analysis. The proposed haptic knob is then manufactured and its fielddependent torque is experimentally evaluated. Subsequently, in-vehicle comfort functions are constructed in virtual environment and make them communicate with the haptic knob. Control performances such as reflection force are experimentally evaluated via simple feed-forward control strategy.

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MR 유체를 이용한 제어 가능한 차량용 햅틱 노브 (Controllable Haptic Knob for Vehicle Instrument Using MR Fluids)

  • 김찬중;한영민;성금길;최승복
    • 한국소음진동공학회논문집
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    • 제18권3호
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    • pp.307-314
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    • 2008
  • The paper presents control performance of a magnetorheological(MR) fluid-based haptic knob which is applicable to in-vehicle comfort functions. As a first step, MR fluid-based haptic knob is devised to be capable of both rotary and push motions with a single device. Under consideration of spatial limitation, design parameters are optimally determined to minimize a reciprocal of control torque using finite element analysis. The proposed haptic knob is then manufactured and its field-dependent torque is experimentally evaluated. Subsequently, in-vehicle comfort functions are constructed in virtual environment and make them communicate with the haptic knob. Control performances such as reflection force are experimentally evaluated via simple feed-forward control strategy.

A Comparison Study of MIMO Water Wall Model with Linear, MFNN and ESN Models

  • Moon, Un-Chul;Lim, Jaewoo;Lee, Kwang Y.
    • Journal of Electrical Engineering and Technology
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    • 제11권2호
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    • pp.265-273
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    • 2016
  • A water wall system is one of the most important components of a boiler in a thermal power plant, and it is a nonlinear Multi-Input and Multi-Output (MIMO) system, with 6 inputs and 3 outputs. Three models are developed and comp for the controller design, including a linear model, a multilayer feed-forward neural network (MFNN) model and an Echo State Network (ESN) model. First, the linear model is developed by linearizing a given nonlinear model and is analyzed as a function of the operating point. Second, the MFNN and the ESN are developed by using training data from the nonlinear model. The three models are validated using Matlab with nonlinear input-output data that was not used during training.

Design of a Adaptive Controller of Industrial Robot with Eight Joint Based on Digital Signal Processor

  • Han, Sung-Hyun;Jung, Dong-Yean;Kim, Hong-Rae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.741-746
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    • 2004
  • We propose a new technique to the design and real-time implementation of an adaptive controller for robotic manipulator based on digital signal processors in this paper. The Texas Instruments DSPs(TMS320C80) chips are used in implementing real-time adaptive control algorithms to provide enhanced motion control performance for dual-arm robotic manipulators. In the proposed scheme, adaptation laws are derived from model reference adaptive control principle based on the improved direct Lyapunov method. The proposed adaptive controller consists of an adaptive feed-forward and feedback controller and time-varying auxiliary controller elements. The proposed control scheme is simple in structure, fast in computation, and suitable for real-time control. Moreover, this scheme does not require any accurate dynamic modeling, nor values of manipulator parameters and payload. Performance of the proposed adaptive controller is illustrated by simulation and experimental results for a dual arm robot consisting of two 4-d.o.f. robots at the joint space and cartesian space.

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운동용 힘 발생기를 위한 리니어 모터의 전류제어 (Linear Motor Current Control for a Force Generator)

  • 이세한
    • 한국산업융합학회 논문집
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    • 제18권1호
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    • pp.1-9
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    • 2015
  • This research dealt with a two-degree-of-freedom controller which was used for 2-dimensional force generator based on an linear motor. The gain margin of the controller may be reduced when the time constant is near to the sampling time of a discrete controller. In case of low gain controller, it cannot satisfy the control performance. A two-degree-of-freedom controller based on PI-control was proposed. It can manage performance and stability respectively. It also had a kind of a feed-forward control. This scheme can not only lessen gain of conventional PI controller in order to stability but also obtain high tracking performance.

A Robust Adaptive Control of Robot Manipulator Based on TMS320C80

  • Han, Sung-Hyun;Jung, Dong-Yean;Shin, Heang-Bong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2540-2545
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    • 2003
  • We propose a new technique to the design and real-time implementation of an adaptive controller for robotic manipulator based on digital signal processors in this paper. The Texas Instruments DSPs(TMS320C80) chips are used in implementing real-time adaptive control algorithms to provide enhanced motion control performance for dual-arm robotic manipulators. In the proposed scheme, adaptation laws are derived from model reference adaptive control principle based on the improved direct Lyapunov method. The proposed adaptive controller consists of an adaptive feed-forward and feedback controller and time-varying auxiliary controller elements. The proposed control scheme is simple in structure, fast in computation, and suitable for real-time control. Moreover, this scheme does not require any accurate dynamic modeling, nor values of manipulator parameters and payload. Performance of the proposed adaptive controller is illustrated by simulation and experimental results for a dual arm robot consisting of two 4-d.o.f. robots at the joint space and cartesian space.

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분산 발전 시스템에서 계통연계 인버터의 매끄러운 모드 전환 (Grid Connected Inverter of ESS for Seamless mode Transition)

  • 홍창표;김학원;조관열
    • 전력전자학회논문지
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    • 제21권4호
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    • pp.364-372
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    • 2016
  • In this paper, a voltage controller for the seamless transition of a grid-connected inverter for ESS is proposed. The single-phase inverter is operated as a current controller when the grid is connected and as a voltage controller in the stand-alone mode when the grid is disconnected. Generally, in the case of grid recovery, the overcurrent may flow into the system because of the mismatch phase between the inverter output and grid voltages. The proposed controller resolves the overcurrent problem through phase delay problems with initial value feed-forward control of the integrator when the grid voltage is restored. The effects of the control method are simulated through PSIM, and the usefulness of the control method is verified through experiments.

순환 퍼지뉴로 제어기를 이용한 IPMSM 드라이브의 고성능 속도제어 (High Performance Speed Control of IPMSM Drive using Recurrent FNN Controller)

  • 고재섭;정동화
    • 전기학회논문지
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    • 제60권9호
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    • pp.1700-1707
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    • 2011
  • Interior permanent magnet synchronous motor(IPMSM) adjustable speed drives offer significant advantages over induction motor drives in a wide variety of industrial applications such as high power density, high efficiency, improved dynamic performance and reliability. Since the fuzzy neural network(FNN) is recognized general approximate method to control non-linearities and uncertainties, the development of FNN control systems have also grown rapidly. The FNN controller is compounded of fuzzy and neural network. It has an advantage that is the robustness of fuzzy control and the ability to adapt of neural network. However, the FNN has static problem due to their feed-forward network structure. This paper proposes high performance speed control of IPMSM drive using the recurrent FNN(RFNN) which improved conventional FNN controller. The RFNN has excellent dynamic response characteristics because of it has internally feed-back structure. Also, this paper proposes speed estimation of IPMSM drive using ANN. The proposed method is analyzed and compared to conventional FNN controller in various operating condition such as parameter variation, steady and transient states etc.

비행체 시간지연을 고려한 정밀경로추종 PID 제어기법 (Tight Path Following PID Controller for a Vehicle with Time Delay)

  • 이인석;박상혁;이경호
    • 한국항공우주학회지
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    • 제39권7호
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    • pp.618-626
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    • 2011
  • 무인항공기가 복잡한 지형이나 위험 지역에서 안전한 비행을 하기 위해서는 요구되는 경로를 정밀하게 추종할 수 있는 제어기법이 필요하다. 경로추종을 위해 사용되는 PID 제어기에서는 경로의 곡률을 앞먹임하여 추종성능을 개선할 수 있다. 한편 경로를 정밀 추종하기 위해서는 제어기의 이득을 크게 하는 것이 필요하나 비행체의 응답속도가 느린 경우 큰 경로 추종 이득을 사용할 경우 성능 저하 또는 불안정성이 발생할 수 있다. 여기서는 응답지연을 고려하여 앞먹임을 갖는 PID제어기의 설계방법을 고려하였다. 앞먹임에 필요한 경로정보를 간단히 얻기 위해 주어진 경로를 3차 스플라인 방법을 적용하여 3차 다항식으로 나타내었다. 설계한 제어기의 추종성능을 평가하기 위해 높은 고도에서 운용되는 느린 횡방향 동특성을 갖는 무인항공기에 대해 비선형 시뮬레이션을 수행하였다. 제어기에서는 횡방향 동특성을 1차 모델로 가정하여 반영하였다. 시뮬레이션을 통하여 동특성을 고려한 경우는 비행체가 주어진 경로를 매우 정밀하게 추종함을 확인하였다.