• 제목/요약/키워드: least square curve fitting algorithm

검색결과 25건 처리시간 0.022초

BLDC 서보 모터의 관측자를 이용한 강인 제어 (Robust Control using Observer for Brushless DC Servo Motor)

  • 신두진;허욱열
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권8호
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    • pp.451-458
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    • 2000
  • The precise speed and position control technique for Brushless DC Motor demands accurate position and speed feedback information. Generally, resolver or absolute encoders are used as speed and positiion sensor. But they increase cost and more problem happens at low speed than high speed specially. Therefore, in this paper, optimal speed observer is proposed for decreasing size and cost of whole system. And also, we consider the error problem about the system modeling and measurement at low speed range as well as high speed. The overall system consists of two parts, a drive and a speed observer. We make use of Least square curve fitting algorithm as speed observer and can overcome low resolution by proposed observer. Also, because of using the signal of hall sensor, robust control is possible in low speed as well as high speed for the change of the parameters of the system and disturbance. To construct observer using the signal of hall sensor, we design the pulse multiplier circuit and the software of microprocessor, AT89CC2051. Finally, the performance of the proposed observer is exemplified by some simulations and experiments.

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베이스 가진을 받는 능동자기베어링 시스템에서 Filtered-x LMS 알고리듬을 이용한 가속도 앞먹임 제어 (Acceleration Feedforward Control in Active Magnetic Bearing System Subject to Base Motion by Filtered-x LMS Algorithm)

  • 강민식
    • 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.

정확하고 효율적인 인체 FDTD 분산 모델링 (Dispersive FDTD Modeling of Human Body with High Accuracy and Efficiency)

  • 하상규;조제훈;김형동;최재훈;정경영
    • 한국전자파학회논문지
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    • 제23권1호
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    • pp.108-114
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    • 2012
  • 본 논문에서는 인체의 전자파 해석을 위해 유한 차분 시간 영역법(FDTD: Finite-Difference Time-Domain)에 적합한 분산 모델링을 제안한다. 주파수에 따라 전기적 특성이 변하는 인체의 분산 특성을 정확하고 효율적으로 모델링을 하기 위해 상대 유전율을 2차 복소수 분수 함수식(QCRF: Quadratic Complex Rational Function)으로 표현하였다. WLSM(Weight Least Square Method) 기반의 복소수 커브 피팅법을 적용하여 인체 조직에 대한 QCRF 계수들을 추출하였으며, QCRF 분산 모델을 FDTD에 적용하는 방법을 논의하였다. 본 논문에서 제안한 QCRF 기반의 인체 분산 모델이 Gabriel의 측정 데이터와 일치하며, FDTD 적용시 Cole-Cole 분산 모델보다 계산 효율이 뛰어남을 확인하였다. 단일 주파수와 광대역 주파수 신호를 입력원으로 한 모의 실험을 통하여 QCRF 기반의 FDTD 분산 알고리즘의 검증 및 분석을 마무리하였다.

멀티센서 퓨전 기법을 활용한 방위 측정 알고리즘의 설계 (Development for the Azimuth Measurement Algorithm using Multi Sensor Fusion Method)

  • 김태영;김영철;송문규;정길도
    • 한국산학기술학회논문지
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    • 제12권2호
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    • pp.865-871
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    • 2011
  • 현재 선박의 자동운항을 위해서는 항체의 위치정보 및 방위정보가 반드시 필요하다. 그 중에서도 방위정보는 자동조타 시스템에 필수적인 요소로 측정 장비로는 자이로컴퍼스, 마그네틱 컴퍼스 그리고 GPS 컴퍼스가 있다. 자이로컴퍼스는 주로 GMDSS(Global Maritime Distress & Safety System)의 대형선박에 사용되고 있으며 정밀도와 신뢰도가 우수하지만 부피가 크고 고가라는 단점이 있다. 그리고 마그네틱 컴퍼스는 비교적 정확하고 저렴하지만 선박의 철제 구조물 등과 같은 자성물체에 의한 영향을 많이 받는다는 단점을 가지고 있다. GPS컴퍼스의 경우는 위치정보의 변화에 따라 진북을 가리키지만 항체가 정지해있거나 오차범위 내에서 운동을 할 경우 정확한 방향을 얻을 수 없다. 본 논문에서는 이러한 방위각 센서의 상호보완을 위해서 least-square curve fitting 방법을 이용하여 GPS 컴퍼스의 성능을 향상시키고 이를 마그네틱 컴퍼스와 공분산 오차의 크기에 따른 가중치를 적용하여 방위각의 정밀도를 향상 시키는 알고리즘을 제안하였다. 실험을 통하여 제안된 알고리즘의 특성을 분석하고 성능을 검증하였으며 실험 결과를 통해 제안된 알고리즘의 적용 가능성을 보여주었다.

표적지향 시스템의 안정화 성능 향상을 위한 실험적 외란 보상 제어기 설계 (Experimental Design of Disturbance Compensation Control to Improve Stabilization Performance of Target Aiming System)

  • 임재근;강민식;유준
    • 대한기계학회논문집A
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    • 제30권8호
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    • pp.897-905
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    • 2006
  • This study considers an experimental design of disturbance compensation control to improve stabilization performance of main battle tanks. An adaptive non-parametric design technique based on the Filtered-x Least Mean Square(FXLMS) algorithm is applied in the consideration of model uncertainties. The optimal compensator is designed by two-step design procedures: determination of frequency response function of the disturbance compensator which can cancel the disturbance of series of single harmonics by using the FXLMS algorithm and determination of the compensator polynomial which can fit the frequency response function obtained in the first step optimally by using a curve fitting technique. The disturbance compensator is applied to a simple experimental gun-torsion bar-motor system which simulates gun driving servo-system. Along with experimental results, the feasibility of the proposed technique is illustrated. Experimental results demonstrate that the proposed control reduces the standard deviation of stabilization error to 47.6% that by feedback control alone. The directional properties of the FXLMS Algorithm such as the direction of convergence and its convergence speed are also verified experimentally.

연속적 확대 유전기법을 이용한 고무물성계수의 산출 (Estimation of the Rubber Material Property by Successive Zooming Genetic Algorithm)

  • 권영두;김재용;이재관;권현욱;한인식
    • 한국자동차공학회논문집
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    • 제13권1호
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    • pp.36-44
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    • 2005
  • Nowadays, various kind of rubber-like materials are used in industry. These are usually installed in automobiles, trains, etc. They work as dampers or important parts in the system, and the applications for rubber-like materials are increasing. In the past days, rubber engineers and designers predicted rubber material behaviors by the analytic method for limited problems. With the progress of digital computers, Finite Element Methods is widely used for analyzing the rubber-like materials. The popular methods predicting rubber material property are curve fitting and least square method, but there are some problems such as low precision and tedious solving process. Here, we introduce a method estimating rubber material property by successive zooming genetic algorithm(SZGA). The proposed algorithm offers more precise rubber property. To demonstrate the effectiveness of the proposed algorithm, we compared this method with Haines & Wilson's method, MARC, ABAQUS.

다중경로 환경에서 PMP기법을 이용한 음원의 위치 추정성능 향상 (Enhancement of Source Localization Performance using PMP Method in a Multipath Environment)

  • 이호진;윤경식;신동훈;이균경
    • 한국군사과학기술학회지
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    • 제17권2호
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    • pp.182-188
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    • 2014
  • Source localization is an important problem in the field of sonar and radar, etc. For the purpose of source localization, two or more spatially separated sensors are often used to measure the time difference of arrivals of a radiating source whose transmitted signal waveform is unknown. The NLS(Nonlinear Least Square) cost function with curve fitting method was proposed recently, which provide robust source localization performance by reducing estimation ambiguity. However, even this algorithm shows degraded performance in a multipath environment. To estimates source localization correctly, source localization algorithm that eliminate the effect of multipath signals is required. In this paper, PMP(Power Matching Procedure) is added to the algorithm, which provides improved source localization performance by properly cutting out the effect of multipath signals. Through simulation the performance of the proposed source localization algorithm is verified.

주파수 영역 모델 방법을 이용한 평판 구조물의 능동 소음전달 제어 (Active Noise Transmission Control Through a Panel Structure Using a Frequency Domain Identification Method)

  • 김영식;김인수;문찬영
    • 한국정밀공학회지
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    • 제18권9호
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    • pp.71-81
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    • 2001
  • This paper analyzes the effectiveness of minimizing vibration and sound transmission on/through a thin rectangular plate by both feedback control and hybrid control which combines adaptive feedforward control with a feedback loop. An experimental system identification technique using the matrix-fractional curve-fitting of the frequency response data is introduced for complex shaped structures. This identification technique reduces the model order o the MIMO(Multi-Input Multi-Output) system which simplifies the practical implementation. The adaptive feedforward control uses a Multiple filtered-x LMS(Least Mean Square) algorithm and the feedback control uses a multivariable digital LQG(Linear Quadratic Gaussian) algorithm. Experimental results show that an effective reduction of sound transmission is achieved by the hybrid control scheme when both vibration and noise measurement signals are incorporated in the controller.

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미세부품 영상 측정시 진동에 의한 오차 보상 알고리즘 개발 (Development of Error Compensation Algorithm for Image based Measurement System)

  • 표창률
    • 한국정밀공학회지
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    • 제21권10호
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    • pp.102-108
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    • 2004
  • In this paper, we studied a vibration problem that is critical and common to most precision measurement systems. For micro mechanical part measurements, results obtained from the vision-based precision measurement system may contain errors due to the vibration. In order to defeat this generic problem, for the current study, a PC based image processing technique was used first, to assess the effect of the vibration to the precision measurement and second, to develop an in-situ calibration algorithm that automatically compensate the measurement results in real time. We used a set of stereoscopic CCD cameras to acquire the images for the dimensional measurement and the reference measurement. The mapping function was obtained through the in-situ calibration to compensate the measurement results and the statistical analysis for the actual results is provided in the paper. Based on the current statistical study, it is expected to obtain high precision results for the micro measurement systems.

젤라틴 캡슐의 분류를 위한 에지 기반 방법 성능 평가 (Performance evaluation of Edge-based Method for classification of Gelatin Capsules)

  • 권기현;최인수
    • 디지털콘텐츠학회 논문지
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    • 제18권1호
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    • pp.159-165
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    • 2017
  • 태블릿 캡슐의 품질 검사를 자동으로 해내기 위해서는 효율적인 이미지 처리기법, 적절한 임계치 설정, 에지 검출 그리고 세그멘테이션 방법 등이 필요하다. 그리고 기 존재하는 태블릿 캡슐의 품질 자동 검사 장비는 매우 고가이므로 품질 검사의 용이성을 높이기 위해서 저가의 하드웨어 시스템이 도입 되어야하다. 본 연구에서는 저가 카메라 모듈을 사용하여 이미지를 취득하고 전최소자승법 커브 피팅, 에지기반 이미지 세그멘테이션 방법을 사용하여 태블릿 캡슐의 함몰을 검사한다. 제안한 방법의 성능을 보이기 위해서 주요 분류 알고리즘인 PCA, ICA, SVM 방법을 사용하여 캡슐이미지 영역 데이터세트와 커브 피팅 에지 데이터세트에 대하여 훈련시간, 테스트시간 그리고 분류 정확도를 구하였다.