• 한국정밀공학회지
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• 제17권10호
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• pp.125-131
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• 2000

By using the test of signal error, model structure of an electrohydraulic servo system is determined. For determining parameter of the electrohydraulic servo system, using time discrete model of parametric method, parameters in time discrete model are searched by the least square method. By bilinear transform, we have found the model of electrohydraulic servo system in s domain. Afterwards, we have compared experimental data with simulation data by MATLAB having the identified parameter. As the result, experimental data is agreed with simulation data very well.

• 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.

• 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.

• 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.

• 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.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 추계학술대회 논문집
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• pp.49-50
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• 2012

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.675-676
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• 2013

• 드라이브 ㆍ 컨트롤
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• 제15권3호
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• pp.73-79
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• 2018

• 드라이브 ㆍ 컨트롤
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• 제16권3호
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• pp.76-81
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• 2019

• 항공우주기술
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• 제1권1호
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• pp.141-146
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• 2002

로켓 추진에 의한 동력 비행 중 비행체의 자세제어를 위해, 대기권내 비행에 있어서는 공력비행 조정익으로 조종할 수 있으나 공기가 희박한 높은 고도나 대기권 밖에서의 비행은 추력벡터제어에 의존할 수밖에 없다. 추력벡터제어 방법으로 현재 여러 가지 장치가 개발되어 사용되고 있는데 본 연구는 로켓이 비행하는 동안 김발에 의해 연결된 로켓엔진 전체를 움직여 엔진에서 발생한 추력의 방향을 조종하여 로켓의 자세를 제어하는 김발엔진구동 추력벡터제어방식에 대한 내용을 다루었다. 로켓에 적용 가능한 김발엔진 구동장치로는 전기유압식, 전기기계식, 공압식 장치 등이 있으나 큰 동력이 요구되는 시스템에서는 대부분 출력 대 무게비가 높은 전기유압식 구동장치가 사용된다. 본 연구에서는 KSR-III의 추력벡터제어를 위해 사용되는 전기유압식 김발엔진 서보구동시스템을 상세모델링하였고 이에 기초하여 시뮬레이션을 수행하였다. 그리고 시뮬레이션 결과와 실제 시스템을 대상으로 시험한 결과를 비교하여 모델을 검증하였다.