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이해영,추준욱,김교형 嶺南大學校 工業技術硏究所 1998 工業技術硏究所論文集 Vol.26 No.2
This paper suggests a fuzzy control algorithm which manipulates the quantity of gas in a gas storage tank to a given reference value. Fuzzy control rules proposed in this paper are divided into two groups. The first is to treat the quantity of gas in a gas storage tank, and the second is to manipulate the quantity in pipe which is utilized in moving gas from gas source to a gas storage tank. Fuzzy control rules to treat two control problems mentioned above are designed independently by investigating several special points having inherent features for given assumed possible response characteristics in the sense of common-sense and engineer's technical knowledge. In order to observe the validity of fuzzy control algorithm for manipulating the quantity of gas in a gas storage tank suggested in this paper, computer simulations are done for three cases, which the quantity of generated gas and the required quantity in load have time-varying patterns. Computer simulation results show that fuzzy control rules designed in this paper are well operated for every case.
Jun-Uk Chu,Yun-Jung Lee IEEE 2009 IEEE transactions on neural systems and rehabilita Vol.17 No.3
<P>This paper presents a new learning method for Gaussian mixture models (GMMs) to improve their generalization ability. A traditional maximum a posterior (MAP) parameter estimate is used to achieve regularization based on conjugate priors. Plus, a model order selection criterion is derived from Bayesian-Laplace approaches, using the conjugate priors to measure the uncertainty of the estimated parameters. As a result, the proposed learning method avoids the possibility of convergence toward the boundary of the parameter space, and is also capable of selecting the optimal order for a GMM with more enhanced stability than conventional methods using a flat prior. When applying the proposed learning method to construct a GMM classifier for electromyogram (EMG) pattern recognition, the proposed GMM classifier achieves a high generalization ability and outperforms conventional classifiers in terms of recognition accuracy.</P>
Design of Brushless DC Motor Controller for an Electric Wheelchair
Jun-Uk Chu,In-Hyuk Moon,Gi-Won Choi,Jei-Cheong Ryu,Mu-Seong Mun 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2004 International Journal of Assistive Robotics and Me Vol.5 No.3
We introduce a design and implementation of brushless DC (BLOC) motor controller for an electric wheelchair. The control architecture consists of two layers of feedback control, namely the wheelchair posture control and the wheel velocity control. In the higher level of control architecture, the posture controller works as a reference velocity generator for the two wheels. We realize the joystick interface and the posture controller in an 8-bit microcontroller. It is on the lower layer that the velocity controller performs four quadrant operations. For the driving system, a DSP-based BLDC motor controller with three-phase inverter module is especially designed using only three Hall-effect sensors and a single dc-link current sensor. The functions of this motor controller include wheel velocity control and torque control. The performance of the control system has been verified experimentally.
매체 순환식 수소제조공정에 적합한 Fe2O3/ZrO2 산소전달입자에 구리 산화물 첨가가 미치는 영향에 관한 연구
이준규 ( Jun Kyu Lee ),김초균 ( Cho Gyun Kim ),배기광 ( Ki Kwang Bae ),박주식 ( Chu Sik Park ),강경수 ( Kyoung Soo Kang ),정성욱 ( Seong Uk Jeong ),김영호 ( Young Ho Kim ),주종훈 ( Jong Hoon Joo ),조원철 ( Won Chul Cho ) 한국화학공학회 2016 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.54 No.3
매체 순환식 수소제조공정은 직접 고순도의 수소를 생산하는 동시에 CO2 포집 비용을 최소화할 수 있는 고효율/친환경적인 공정이다. 본 공정은 레독스 반응을 통하여 산소를 전달하고 이때 철 산화물계 산소전달입자를 이용하게 된다. 구리 산화물이 첨가된 철-구리 산화물계 산소전달입자는 반응성 향상이 보고되어 왔으나 철 산화물과 구리 산화물간 상호작용에 대한 이해가 부족한 실정이다. 본 연구에서는 여러 기기 분석법(SEM/EDX, XRD, BET, TPR, XPS, TGA)을 통하여 철-구리 산화물계 산소전달입자의 레독스 반응성 향상을 지배하는 주요인을 연구하였다. 첨가된 구리산화물은 철 산화물 성장 억제제 역할 뿐만 아니라 화학적 환경 변화를 일으키는 화학적 촉매제(chemical promoter)역할도 하는 것이 발견되었다. 철-구리 산화물계 산소전달입자의 우수한 환원 반응성은 구리 산화물의 도입으로 Fe2+농도 증가 및 표면 특성 변화 때문이며, 우수한 물분해 특성은 산화 과정에서 일어나는 철 산화물의 응집을 구리 산화물이 억제시킨 것으로 판단되었다. H2 production by chemical looping is an efficient method to convert hydrocarbon fuel into hydrogen with the simultaneous capture of concentrated CO2. This process involves the use of an iron based oxygen carrier that transfers pure oxygen from oxidizing gases to fuels by alternating reduction and oxidation (redox) reactions. The enhanced reactivities of copper oxide doped iron-based oxygen carrier were reported, however, the fundamental understandings on the interaction between Fe2O3 and CuO are still lacking. In this study, we studied the effect of dopant of CuO to Fe2O3/ ZrO2 particle on the morphological changes and the associated reactivity using various methods such as SEM/EDX, XRD, BET, TPR, XPS, and TGA. It was found that copper oxide acted as a chemical promoter that change chemical environment in the iron based oxygen carrier as well as a structural promoter which inhibit the agglomeration. The enhanced reduction reactivity was mainly ascribed to the increase in concentration of Fe2+ on the surface, resulting in formation of charge imbalance and oxygen vacancies. The CuO doped Fe2O3/ZrO2 particle also showed the improved reactivity in the steam oxidation compared to Fe2O3/ZrO2 particle probably due to acting as a structural promoter inhibiting the agglomeration of iron species.