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탄소/에폭시 프레임 날개 부착 새/곤충 모방 날개짓 비행체의 날개 성능 개선 연구
황현준,윤범수,Widhiarini Sriyulianti,윤광준,박훈철,정대근,김종헌 한국항공우주학회 2011 한국항공우주학회 학술발표회 논문집 Vol.2011 No.11
본 연구에서는 날개짓 비행체의 주 날개 구조의 변화가 비행체의 공력 특성에 어떠한 영향을 미치는지 알아보기 위해 주 날개를 구성하는 spar 에 taper ratio 및 camber 를 적용하였고 각 날개의 성능을 시험해 보기 위해 로드셀을 이용한 풍동실험을 구성하였다. 실험 결과 taper ratio 에 대한 영향보다는 camber 변화에 대한 양력 및 추력의 효율 증가를 확인할 수 있었다. In this paper, we study the application of taper ratio and camber to the wing spar of a flapping wing robot and studied the influence of each wing variation to the aerodynamic performance. In order to acquire the data from each wing, we designed the wind-tunnel experiment and measured the horizontal and vertical forces using a 3-axis load cell. We could find that the camber improved the efficiency of lift and thrust better than taper ratio.
GA를 이용한 보일러-터빈 설비의 모델 추종형 다변수 제어 시스템 설계를 위한 취적 가중치 행렬의 선정
황현준,정호성 한국조명전기설비학회 1999 조명·전기설비학회논문지 Vol.13 No.2
본 연구에서는 유전 알고리즘을 사용하여 복잡한 최적화의 과정이없이 가중치 행렬 Q, R을 동시에 최적화함으로써 상태변수들의 결합과 동작점의 변화에 따른 시스템의 파라미터 변동 등에도 불구하고 기준모델의 출력을 최적으로 추종하는 모델 추종형 제어 시스템을 설계법으로 제시하고 이를 보일러-터빈 설비를 위한 모델 추종형 다변수 제어 시스템의 설계에 적용하고자 한다. 또한 컴퓨터 시뮬레이션을 통하여 설계된 모델 추종형 제어 시스템의 성능을 비교고찰하고 그 유용성을 확인하다. The aim of this paper is to suggest a design method of the optimal model following control system using gerelic algoritlun (GA). This control system is designed by applying GA with reference model to the optimal determinination of weighting matrices Q, R that are given by LQ regulator prooblem. The method to do this is that all the diagooal elements of weighting matrices are optimized simultaneously by GA, in the search domain selected adequately. And, we design the mxiel following control system to boiler-turbine equipment by the proposed mothod. The model following control system designed by this mothod has the better command tracking perfannaoce than that of the control system designed by the trial-and-error method. The effectiveness of this cootrol System is verified by computer simulation.
황현준,정완호,Joo-Ho Song,Jong-Kwang Lim,Hak-Sung Kim 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.11
In this study, a new way to predict the muscle fatigue and force from Electromyography (EMG) signal for repeated isokinetic exercise is demonstrated. The relationship between cumulative biceps fatigue and EMG signal during repetitive dumbbell curl tasks with constant velocity was investigated with respect to Maximum voluntary contraction (MVC) levels (20 %, 35 %, 50 % and 75 % MVC). The mean integrated EMG and mean frequency per cycle were obtained from the time domain and frequency domain, respectively. The mean IEMG value and mean frequency values were co-plotted in the global EMG index map. Finally, we developed a new algorithm to predict muscle fatigue and force based on a global EMG index map employing mean IEMG and MNF values. The proposed algorithm based on a global EMG index map can be used to simultaneously predict muscle fatigue and force from real-time EMG signals with arbitrary MVC levels.
최적 연료주입 모델 추종형 ${\mu}-$합성 제어기의 설계에 관한 연구
황현준,김동완,정호성,손무헌,김영훈,황기현,문경준,박준호,황창선,Hwang, Hyun-Joon,Kim, Dong-Wan,Jeong, Ho-Seong,Son, Mu-Hun,Kim, Yeung-Hun,Hwang, Gi-Hyun,Mun, Kyeong-Jun,Park, June-ho,Hwang, Chang-Sun 제어·로봇·시스템학회 1998 제어·로봇·시스템학회 논문지 Vol.4 No.2
In this paper, we design an optimal model following ${\mu}-$synthesis control system for fuel-injection of diesel engine which has robust performance and satisfactory command tracking performance in spite of uncertainties of the system. To do this, we give gain and dynamics parameters to the weighting functions and apply genetic algorithm with reference model to the optimal determination of the weighting functions that are given by the D-K iteration method which can design ${\mu}-$synthesis controller in the state space. These weighting functions are optimized simultaneously in the search domain which guarantees the robust performance of the system. The ${\mu}-$synthesis control system for fuel-injection designed by the above method has not only the robust performance but also a better command tracking performance than those of the ${\mu}-$synthesis control system designed by trial-and-error method. The effectiveness of this ${\mu}-$synthesis control system for fuel-injection is verified by computer simulation.