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유전자 알고리즘을 이용한 정밀 스테이지의 슬라이딩모드 제어기 설계에 관한 연구
조백희(Baekhee Cho),성활경(Hwalgyeong Seong) 한국생산제조학회 2010 한국생산제조학회지 Vol.19 No.1
This paper presents motion control of the precision stage composed of the piezoelectric actuator and flexible hinges. The stage shows approximately 27% overshoot when the stage was applied to 30V square wave input voltage. Also, the stage shows nonlinear response characteristics including hysteresis. This paper proposes feedback control technique to suppress the phenomenon of hysteresis and overshoot using the sliding mode control scheme with the integrator. Also, this paper suggests the method that searches important parameters of sliding mode control and observer using Genetic Algorithm. To demonstrate the effectiveness of the proposed control algorithm, experimental validations are performed.
Baekhee Lee,Seunghoon Lee,Hayoung Jung,Jawon Lee,Teukgyu Choi,Mina Lee,Hogeun Kim,Eunha Kim,Hojun Jeon,Youngbum Cho,Seungwoo Seo,Heecheon You 대한인간공학회 2014 대한인간공학회 학술대회논문집 Vol.2014 No.11
Objective: The present study is to evaluate satisfaction of vehicle outside door handles (ODHs) by design factor for improving grip comfort. Background: Existing studies have mainly focused on size and/or shape of typical handles (e.g., cylindrical handle); therefore, a specialized research for ergonomic ODH design is needed. Method: Satisfaction (operation, shape, height, width, tilting angle, central radius (R), inside upper R, inside middle R, inside lower R, pressure distribution, and overall satisfaction) by design factor (2-level: section width; 3-level: central R, inside upper R, inside middle R, inside lower R, tilting angle, and section height) were analyzed by applying a Taguchi L18 design (2¹ × 3<SUP>6</SUP>). Design levels by design factor were determined referring to 5 existing ODHs. 18 ODHs developed in the study were relatively evaluated comparing with a reference ODH (0 point) through an 11-point bipolar scale (-5: extremely dissatisfaction, 0: no difference, +5: extremely satisfaction) by twenty participants aged 20s ~ 50s. Results: Section width and inside upper R were significant on satisfaction of ODH. Conclusion: A design guideline for ODH was established considering users’ satisfaction. Application: The design factor evaluation protocol using Taguchi method applied in the study can be applicable to the other vehicle moving handles (e.g., inside door handle, door trim grip handle, door trim pull handle).
유전적 알고리듬을 적용하여 머시닝센터 베드두께의 동하중을 고려한 최적설계에 관한 연구
조백희,성활경 한국공작기계학회 1999 한국생산제조학회지 Vol.8 No.1
This paper presents resizing design optimization method by utilizing genetic algorithm(GA), which consists of three basic operators : reproduction, crossover and mutation. The fitness and penalty function for resizing optimization ploblem are defined, and the flowchart of the developed computer program along with the descriptions of each modules is presented. Also, modelling for flexible-body dynamic analysis is presented. The model is composed of bodies, joints, and force elements such as translational spring-damper-actuator. The design object is to determine the wall thickness for minimum weight under dynamic displacement constraint.
Jihyung Lee,Nahyun Lee,Jaechun Cho,Baekhee Lee,Kyunghyun Jin,Hyejee Kim,Younggyun Kim,Jaheon Kang,Heecheon You 대한인간공학회 2015 대한인간공학회 학술대회논문집 Vol.2015 No.10
Objective: The present study to evaluate an ergonomic gaze fixation induction method for gaze fixation during visual field testing developed and applied a gaze fixation identification algorithm to the gaze tracking data analysis. Background: Development of the gaze fixation identification algorithm is necessary to evaluate the degree of gaze fixation which is important for checking the reliabilities of visual field testing. Method: the present study investigated factors of gaze tracking data and developed an identification algorithm to identify gaze fixation. 32 men and women (29.0 ± 4.4 yr) participated in gaze fixation testing to evaluate three gaze fixation induction methods (black dot, flashing black dot, bulls eye and cross hair) in the aspects of correct fixation rate using gaze fixation identification algorithm. Results: It is necessary to analyze gaze location at 0.2 seconds intervals before and after target presenting for identify a gaze fixation in visual field testing. If one of two interval gaze trajectory is belong within visual angle 1° when the gaze tracking data analyzed in 0.2 seconds intervals before and after target presenting, the gaze fixation identification algorithm decide to fix the participant’s gaze to a fixation target when the target presents. Correct fixation rate of flashing black dot (91.5%) and bulls eye and cross hair (88.0%) are higher 5.5% and 1.5% than that of black dot (86.7%). Conclusion: The analysis using short interval gaze tracking data at before and after target presenting is more effective method in visual field testing for evaluating the degree of gaze fixation. Application: The gaze fixation identification algorithm is expected to be effectively used for monitor-based gaze tracking research.