• 제목/요약/키워드: MIMO System Identification

검색결과 33건 처리시간 0.029초

소각 프린트의 증기발생 및 배기가스에 대한 파라메트릭 ARX 모델규명 (Identification of a Parametric ARX Model of a Steam Generation and Exhaust Gases for Refuse Incineration Plants)

  • 황이철
    • 제어로봇시스템학회논문지
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    • 제8권7호
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    • pp.556-562
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    • 2002
  • This paper studies the identification of a combustion model, which is used to design a linear controller of a steam generation quantity and harmful exhaust gases of a Refuse Incineration Plant(RIP). Even though the RIP has strong nonlinearities and complexities, it is identified as a MIMO parametric ARX model from experimental input-output data sets. Unknown model parameters are decided from experimental input-output data sets, using system identification algorithm based on Instrumental Variables(IV) method. It is shown that the identified model well approximates the input-output combustion characteristics.

압전체를 이용한 평판 진동체의 $H_2$ 제어기 설계 ([ $H_2$ ] Controller Design of the Plate Vibration System using Piezoceramics)

  • 이재호;김준국;정준홍;박기헌
    • 전자공학회논문지SC
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    • 제43권2호
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    • pp.1-10
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    • 2006
  • 본 논문에서는 압전세라믹 가진기와 검출기를 부착한 평판 진동 시스템을 구축하고 이를 효과적으로 제어하기 위한 $H_2$ 제어기 설계기법을 제시한다. 본 논문의 실험에서 사용한 평판 시스템은 2개의 입력과 2개의 출력이 있는 다변수 시스템이며 정확한 전달행렬을 구하기 위하여 시스템 식별 실험을 수행하였다. 시스템 식별로부터 얻어진 평판 진동 시스템의 상태 공간 모델을 이용하여 $H_2$ 제어기를 설계하고, 설계된 $H_2$ 제어기의 제어 성능은 시뮬레이션과 실제 실험을 통해 입증하였다.

A Model Reference Variable Structure Control based on a Neural Network System Identification for an Active Four Wheel Steering System

  • Kim, Hoyong;Park, Yong-Kuk;Lee, Jae-Kon;Lee, Dong-Ryul;Kim, Gi-Dae
    • 한국자동차공학회논문집
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    • 제8권6호
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    • pp.142-155
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    • 2000
  • A MIMO model reference control scheme incorporating the variable structure theory for a vehicle four wheel steering system(4WS) is proposed and evaluated for a class of continuous-time nonlinear dynamics with known or unknown uncertainties. The scheme employs an neural network to identify the plant systems, where the neural network estimates the nonlinear dynamics of the plant. By the Lyapunov direct method, the algorithm is proven to be globally stable, with tracking errors converging to the neighborhood of zero. The merits of this scheme is that the global system stability is guaranteed and it is not necessary to know the exact structure of the system. With the resulting identification model which contains the neural networks, it does not need higher degrees of freedom vehicle model than 3 degree of freedom model. Th proposed scheme is applied to the active four wheel system and shows the validity is used to investigate vehicle handing performances. In simulation of the J-turn maneuver, the reduction of yaw rate overshoot of a typical mid-size car improved by 30% compared to a two wheel steering system(2WS) case, resulting that the proposed scheme gives faster yaw rate response and smaller side angle than the 2WS case.

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시스템 히트펌프의 용량조절 및 다변수 제어 특성에 관한 연구 (The Performance of Capacity Modulation and MIMO Control for System Heat Pump)

  • 송인식;주영주;정현준;강훈;김용찬;최종민
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2007년도 동계학술발표대회 논문집
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    • pp.364-369
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    • 2007
  • A system heat pump provides the benefits of comfort, energy conservation and easy maintenance. Recently, the system heat pump has been employed in small and medium-sized buildings. However, the performance data and control algorithm for system heat pump are limited in literature due to complicated system parameters and operating conditions. In the present study, the performance of a system heat pump with two indoor unit is measured by varying indoor loads, EEV opening, and compressor speed. In addition, the integral optimum regulator which includes MIMO control algorithm is proposed. The capacity modulation and optimum capacity for each indoor unit can be adjusted by utilizing the EEVs opening and compressor speed. The proposed scheme shows appropriate control performance at test conditions.

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쓰레기 소각플랜트의 상태공간모델 규명에 관한 연구 (A Study on Identification of State-Space Model for Refuse Incineration Plant)

  • 황이철;전충환;이진걸
    • 대한기계학회논문집B
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    • 제24권3호
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    • pp.354-362
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    • 2000
  • This paper identifies a discrete-time linear combustion model of Refuse Incineration Plant(RIP) which characterizes steam generation quantity, where the RIP is considered as a MIMO system with thirteen-inputs and one-output. The structure of RIP model is described as an ARX model which are analytically obtained from the combustion dynamics. Furthermore, using the Instrumental Variable(IV) identification algorithm, model structure and unknown parameters are identified from experimental input-output data sets, In result, it is shown that the identified ARX model well approximates the input-output combustion characteristics given by experimental data sets.

수치 해석을 통한 자기 베어링 시스템의 모델링에 관한 연구 (A Study on Modeling for the Magnetic Bearing System by Numerical Analysis)

  • 심성효;최명수;김창화;문덕홍;양주호
    • 동력기계공학회지
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    • 제5권4호
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    • pp.53-60
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    • 2001
  • This paper considers a modeling for the MIMO magnetic bearing system. The rotor is flexible and has a complex shape. To obtain the nominal plant transfer functions, we perform a numerical analysis by using the finite element method(F.E.M.) for the rotor's dynamics, and make a nominal model by reducing the modes from the results. And, we have experimented on the frequency response by a closed-loop identification method, and compared it with the simulation's result on the closed-loop control system.

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상업용 12인치 급속가열장치의 제어계 설계를 위한 모델인식 (Model Identification for Control System Design of a Commercial 12-inch Rapid Thermal Processor)

  • 윤우현;지상현;나병철;원왕연;이광순
    • Korean Chemical Engineering Research
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    • 제46권3호
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    • pp.486-491
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    • 2008
  • 상업용 12인치 급속가열장치(RTP)의 다변수 고급제어기를 개발하기 위하여 열전대가 부착된 웨이퍼를 대상으로 다변수 모델인식을 수행하였다. 웨이퍼에는 7개의 열전대가 설치되어 있으며 10개의 텅스텐-할로겐 램프 그룹으로 가열을 할 수 있다. 모델인식 실험과정에서 웨이퍼의 휨을 최소화하며 최종적으로 10-입력 7-출력의 균형 잡힌 상태공간 모델을 얻기 위한 모델인식방법을 제안하였다. 또한 넓은 온도영역에서 복사에 의한 비선형성을 가장 효과적으로 상쇄시킬 수 있는 출력변수 정의방법을 제안하였다. 600, 700, $800^{\circ}C$ 부근의 정상상태에서 실험을 수행하여 모델을 추정한 결과 상태의 차수는 80~100, 모델출력은 $y=T(K)^2$으로 결정하는 것이 바람직하며, 이때 one-step-ahead 온도예측 오차의 제곱평균은 0.125~0.135 K 정도로 나타났다.

압전 작동기/감지기를 이용한 평판의 혼합형 능동 진동제어 기술 (Hybrid Technique for Active Vibration Control of Plate using Piezoceramic Actuators/Sensors)

  • 김영식;이철;김인수
    • 소음진동
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    • 제10권6호
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    • pp.1048-1058
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    • 2000
  • 본 논문에서는 압전 세라믹 재료를 작동기 및 감지기로 이용한 사각 경계면이 고정된 얇은 사각평판의 능동 진동제어 방법을 제시한다. 실험 데이터에 기초한 다중 입출력계의 주파수영역 모델링방법을 이용하여 분포된 센서 및 구동기 특성이 포함된 구조물의 동적 특성이 규명된다. 제어기 구조로는 혼합형을 채택하고 되먹임 제어기는 LQG 제어기법에 의해 설계된다. 앞먹임 제어기는 다중 filtered-$x$ 최소자승오차법에 의해 적응되도록 한다. 진동제어에 대한 시뮬레이션 및 실험결과는 제안된 제어기법이 지속적 외란 및 과도적 외란에 효율적으로 적용될 수 있음을 보인다.

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적응제어에 의한 대수심 라이저의 리엔트리 (Automatic reentry of deepsea riser by adaptive control)

  • 남동호
    • 한국해양공학회지
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    • 제10권1호
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    • pp.108-118
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    • 1996
  • This paper presents automatic reentry of a deepsea reser by adaptive control. Reentry is one of the major pro blems regarding a deepsea riser. In the reentry operation, the lower end of riser must be accurately positioned over the tarket point on the seabed. But the deepsea riser shows complex elastic response due to flexibility and nonlinearity of the riser dynamics and the required positioning accuracy is high. Moreover, elastic deformation must by controlled for securing structural integrity. In adaptive control, uncertainly known parameters like added mass and drag coefficient in the riser dynamics are identified and control forces at the floating body and the riser are calculated simultaneously. An Adaptive algorithm for MIMO linear discrete time system without requiring a persistent excitation is adopted in this study. The effectiveness of adaptive control logic is tested by numerical simulation and model experiment. The designed control system shows good overall performances, so that the present study can be applied to the control of the deepsea riser.

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FPGA-based ARX-Laguerre PIO fault diagnosis in robot manipulator

  • Piltan, Farzin;Kim, Jong-Myon
    • Advances in robotics research
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    • 제2권1호
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    • pp.99-112
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    • 2018
  • The main contribution of this work is the design of a field programmable gate array (FPGA) based ARX-Laguerre proportional-integral observation (PIO) system for fault detection and identification (FDI) in a multi-input, multi-output (MIMO) nonlinear uncertain dynamical robot manipulators. An ARX-Laguerre method was used in this study to dynamic modeling the robot manipulator in the presence of uncertainty and disturbance. To address the challenges of robustness, fault detection, isolation, and estimation the proposed FPGA-based PI observer was applied to the ARX-Laguerre robot model. The effectiveness and accuracy of FPGA based ARX-Laguerre PIO was tested by first three degrees of the freedom PUMA robot manipulator, yielding 6.3%, 10.73%, and 4.23%, average performance improvement for three types of faults (e.g., actuator fault, sensor faults, and composite fault), respectively.