• 제목/요약/키워드: 전기·유압 서보시스템

검색결과 51건 처리시간 0.02초

고유 진동수 및 댐핑이 작은 유압 서보 제어 시스템에서의 강인 제어기 응용 (Robust Controller of Hydraulic Servo System with Large Inertia Load)

  • 진성무;임상묵;이정오
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.289-292
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    • 1995
  • 근래에 서보 제어용 엑투에에터의 사용 경향은, 전기 서보 모터 및 그 제어 기술의 발전으로, 중간 용량이내의 제어 시스템 분야에서 전기 서보 모터를 사용한 시스템의 채용이 급증하고 있는 추세이다. 본 연구에서는 고유 진동수 밍 댐핑이 적은 유압 서보 시스템에 소프트웨어적인 방법으로 부하 압력 또는 가속도를 궤환시키는 방법을 적용하여 시 스템의 bandwidth를 유압 시스템의 고유 진동수 영역까지 확대 시키고, 응답 특성의 신뢰성을 증가시키기 위해 직렬 제어기가 없을 경우에는 적용이 어려운 강인 제어기 (robust controller)를 압력 또는 가속도 궤환제어기의 앞 부 분에 직렬로 배치하여 실험을 통하여 그 성능을 관찰한다.

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전기-유압식 추력벡터제어 구동장치시스템의 합성공진 특성 연구 (Research of Synthetic Resonance Characteristics for Electrohydraulic Thrust Vector Control Actuation System)

  • 민병주;최형돈;강이석
    • 항공우주기술
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    • 제7권1호
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    • pp.151-160
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    • 2008
  • 본 논문에서는 발사체에 적용하는 전기-유압식 추력벡터제어 구동장치시스템의 합성공진 현상에 대한 해석 연구결과를 기술한다. 합성공진 현상은 위치서보 구동장치시스템을 유연한 발사체 기체구조체 지지부에 장착하였을 때 발생한다. 이는 관성부하를 갖는 전기-유압식 위치서보 시스템의 유압공진 현상과 유연한 기체구조체 지지부의 구조공진 현상의 합성에 의하여 발생한다. 합성공진 현상은 발사체 제어시스템에 의하여 되먹임 및 증폭되어 안정성을 악화시킬 수 있다. 이와 같은 현상을 정확하게 예측 및 분석할 수 있는 비선형 모델을 개발하였으며 이에 기반을 둔 합성공진 억제 특성이 우수한 동적 압력 되먹임(dynamic pressure feedback) 제어기법을 개발하였다.

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2차원 반복 학습 신경망을 이용한 전기.유압 서보시스템의 제어 (Control of an Electro-hydraulic Servosystem Using Neural Network with 2-Dimensional Iterative Learning Rule)

  • 곽동훈;이진걸
    • 유공압시스템학회논문집
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    • 제1권1호
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    • pp.1-9
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    • 2004
  • This paper addresses an approximation and tracking control of recurrent neural networks(RNN) using two-dimensional iterative learning algorithm for an electro-hydraulic servo system. And two dimensional learning rule is driven in the discrete system which consists of nonlinear output function and linear input. In order to control the trajectory of position, two RNN's with the same network architecture were used. Simulation results show that two RNN's using 2-D learning algorithm are able to approximate the plant output and desired trajectory to a very high degree of a accuracy respectively and the control algorithm using two same RNN was very effective to control trajectory tracking of electro-hydraulic servo system.

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전기.유압 서보 밸브를 이용한 유압모터계의 회전수 제어 (Speed Control of Oil Hydaulic Motor Systems Using an Electrohydraulic Servo Valve)

  • 김도태
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
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    • pp.405-410
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    • 1999
  • Hydraulic pipeline between servo valve and actuator affect the dynamic characteristics of electrohydraulic servo systems in serveral ways. This paper deal with the speed control of oil hydraulic gear motor using electrohydraulic servo valve. The frequency and transient response of electrohydraulic servo valve coupled to a gear motor is anlayzed. In particular, the effect of short and long hydraulic pipelines between servo valve and gear motor is investigated. The dynamic characteristics of the speed control systems of gear motor with short pipeline is first described via frequency response experiments with small signal linearized analysis. Loner pipeline is applied distributed parameter pipeline model with consideration of frequency dependent viscous friction.

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신경망-유전자 알고리즘을 이용한 전기${\cdot}$유압 서보시스템의 파라미터 식별 (Parameter Identification Using Hybrid Neural-Genetic Algorithm in Electro-Hydraulic Servo System)

  • 곽동훈;정봉호;이춘태;이진걸
    • 한국정밀공학회지
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    • 제19권11호
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    • pp.192-199
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    • 2002
  • This paper demonstrates that hybrid neural-genetic multimodel parameter estimation algorithm can be applied to structured system Identification of electro-hydraulic servo system. This algorithm are consist of a recurrent incremental credit assignment (ICRA) neural network and a genetic algorithm. The ICRA neural network evaluates each member of a generation of model and genetic algorithm produces new generation of model. We manufactured electro-hydraulic servo system and the hybrid neural-genetic multimodel parameter estimation algorithm is applied to the task to find the parameter values(mass, damping coefficient, bulk modulus, spring coefficient) which minimize total square error.

개선된 신경망-유전자 다중모델에 의한 전기.유압 서보시스템의 파라미터 식별 (Parameter Identification of an Electro-Hydraulic Servo System Using an Improved Hybrid Neural-Genetic Multimodel Algorithm)

  • 곽동훈;정봉호;이춘태;이진걸
    • 한국정밀공학회지
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    • 제20권5호
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    • pp.196-203
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    • 2003
  • This paper demonstrates that an improved hybrid neural-genetic multimodel parameter estimation algorithm can be applied to the structured system identification of an electro-hydraulic servo system. This algorithm is consists of a recurrent incremental credit assignment (ICRA) neural network and a genetic algorithm, The ICRA neural network evaluates each member of a generation of model and the genetic algorithm produces new generation of model. We manufactured an electro-hydraulic servo system and the improved hybrid neural-genetic multimodel parameter estimation algorithm is applied to the task to find the parameter values, such as mass, damping coefficient, bulk modulus, spring coefficient and disturbance, which minimize total square error.

2차원 학습 회귀적 신경망을 이용한 전기.유압 서보시스템의 실시간 추종 (Real-time Approximation of a Hydraulic Servo System Using a Recurrent Neural Network with 2-D Learning Algorithm)

  • 정봉호;곽동훈;이춘태;이진걸
    • 한국정밀공학회지
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    • 제20권8호
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    • pp.94-100
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    • 2003
  • This paper presents the experiments on the approximation of a hydraulic servo system using a real time recurrent neural networks (RTRN) with time varying weights. In order to verify the effectiveness of the RTRN algorithm in hydraulic servo system, we design the experimental hydraulic system and implemented the real time approximation of system output. Experimental results show that approximated output of the RTRN well follows the position trajectory of the electro-hydraulic servo system. And also it is verified that the 2-D RNN can be implemented in sampling time even though high sampling frequency experimentally.

전기유압 서보시스템의 슬라이딩 모드 위치제어 (Position Control of an Electro-hydraulic Servo System with Sliding Mode)

  • 허준영
    • 드라이브 ㆍ 컨트롤
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    • 제18권3호
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    • pp.16-22
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    • 2021
  • The variable structure controller has the characteristic that while in sliding mode, the system moves along the switching plane in the vicinity of the switching plane, so it is robust to the parameter fluctuations of the plant. However, a controller based on a variable structure may not meet the desired performance when it is commanded to track any input or exposed to disturbances. To solve this problem, a sliding mode controller based on the IVSC approach excluding an integrator is proposed in this study. The proposed sliding mode control was applied to the position control of a hydraulic cylinder piston. The sliding plane was determined by the pole placement and the control input was designed to ensure the existence of the sliding mode. The feasibility of the modeling and controller was reviewed by comparing it with a conventional proportional control through computer simulation using MATLAB software and experiment in the presence of significant plant parameter fluctuations and disturbances.

압력제어용 직동 밸브를 이용한 전기.유압 서보시스템의 힘 제어 (Force Control of Electro-Hydraulic Servo System using Direct Drive Valve for Pressure Control)

  • 이창돈;이진걸
    • 유공압시스템학회논문집
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    • 제1권3호
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    • pp.14-19
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    • 2004
  • The Direct Drive Valve used in this study contains a pressure-feedback-loop in itself, then it can eliminate nonlinearity such as the square-root-term in flow rate calculation and the change of bulk modulus of hydraulic oil. In this study, assuming that the dynamic characteristic of the DDV is modelled as a first order lag system, an parameter identification method using the input data and the output data is applied to obtain DDV's mathematical model. Then, a state feedback controller was designed to implement the force control of hydraulic system, and the control performance was evaluated.

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