http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
김병운(Byung Un Kim),강이석(E-Sok Kang) Korean Society for Precision Engineering 2004 한국정밀공학회지 Vol.21 No.5
This paper presents neural network based controller using the feedback error learning technique for a heavy load pointing system. Also the mathematical model was developed to analyze heavy load pointing system. The control scheme consists of a feed forward neural network controller and a fixed-gain feedback controller. This neural network controller is trained so as to make the output of the feedback controller zero. The proposed controller is compared with the conventional PI controller through simulations, and the results show that the pointing accuracy of the proposed control system are improved against the disturbance induced by vehicle running on the bump course.
광학거울 시스템의 지지구조 설계를 위한 라그랑지 방정식과 최적화 기법 적용에 의한 효과분석
김학인,남병욱,김광태,김병운,Gimm, Hak In,Nam, Byoung Uk,Kim, Gwang Tae,Kim, Byung Un 한국군사과학기술학회 2018 한국군사과학기술학회지 Vol.21 No.3
The support structure of an optical mirror system is the one of the important design elements because the one affects the optical aberrations of the mirror surface. In this paper, Lagrange equation of the moving body of the fast steering mirror system(FSM) has been formulated to use with optimization design. Major goals for optimization are to assign the reasonably flexible stiffness to the structure and to enhance the first natural frequency of the mirror and support system in aid of more affordable control bandwidth for the FSM. Pursuing these purposes with the proposed method, the finite element analysis(FEA), optimization technique and the Zernike polynomial estimation are used for the design effects. It is concluded that the proposed approach for design well guides toward the desired design goals with regards to both structural and optical performances.
대부하 표적 지향시스템의 안정화 성능향상을 위한 외란보상 적응제어
임재근(Lim, Jae-Keun),최영준(Choi, Young-Jun),유준(Lyou, Joon),석호동(Seok, Ho-Dong),김병운(Kim, Byung-Un),강민식(Kang, Min-Sig) 한국소음진동공학회 2005 한국소음진동공학회 논문집 Vol.15 No.11
Stabilization error of target aiming systems mounted on moving vehicles is an important performance because the error directly affects hit Probability. In a heavy load targetaiming system, the disturbance torque comes from mass unbalance and linear acceleration is a main source of stabilization error. This study suggests an experimental design method of disturbance feedforward compensation control to improve the stabilization performance of heavy load target aiming systems. The filtered_x least square(FxLMS) algorithm is used to estimate the compensator coefficients adaptively. The proposed control is applied to a simple experimental set-up which simulates dynamic characteristics of a real target aiming system. The feasibility of the proposedtechnique is illustrated, along with results of experiments.