• 제어로봇시스템학회논문지
• /
• 제16권3호
• /
• pp.305-312
• /
• 2010

The aim of this study is to find an analytic solution to the problem of determining the optimal capacity of a batch-storage network to meet demand for finished products in a system undergoing joint random variations of operating time and batch material loss. The superstructure of the plant considered here consists of a network of serially and/or parallel interlinked batch processes and storage units. The production processes transform a set of feedstock materials into another set of products with constant conversion factors. The final product demand flow is susceptible to joint random variations in the cycle time and batch size. The production processes have also joint random variations in cycle time and product quantity. The spoiled materials are treated through regeneration or waste disposal processes. The objective function of the optimization is minimizing the total cost, which is composed of setup and inventory holding costs as well as the capital costs of constructing processes and storage units. A novel production and inventory analysis the PSW (Periodic Square Wave) model, provides a judicious graphical method to find the upper and lower bounds of random flows. The advantage of this model is that it provides a set of simple analytic solutions while also maintaining a realistic description of the random material flows between processes and storage units; as a consequence of these analytic solutions, the computation burden is significantly reduced. The proposed method has the potential to rapidly provide very useful data on which to base investment decisions during the early plant design stage. It should be of particular use when these decisions must be made in a highly uncertain business environment.

• Journal of applied mathematics & informatics
• /
• 제24권1_2호
• /
• pp.387-397
• /
• 2007

According to the controllability of pulse times and the amount of jumps in the states at these times in the process of fed-batch culture producing 1,3-propanediol, this paper proposes a terminal optimal control model, whose constraint condition is the nonlinear impulsive delay system. The existence of optimal control is discussed and an optimization algorithm which is applied to each subinternal over one cycle for this optimal control problem is constructed. Finally, the numerical simulations show that the terminal intensity of producing 1,3-propanediol has been increased obviously.

• 제어로봇시스템학회논문지
• /
• 제10권3호
• /
• pp.280-285
• /
• 2004

This paper is concerned with the modeling and identification of sequencing batch reactor (SBR) via genetic algorithm based polynomial neural network (GA-based PNN). The model describes a biological SBR used in the wastewater treatment process fur nitrogen removal. A conventional polynomial neural network (PNN) is applied to construct a predictive model of SBR process fur nitrogen removal before. But the performances of PNN depend strongly on the number of input variables available to the model, the number of input variables and type (order) of the polynomials to each node. They must be fixed by the designer in advance before the architecture is constructed. So the trial and error method must go with heavy computation burden and low efficiency. To alleviate these problems, we propose GA-based PNN. The order of the polynomial, the number of input variables, and the optimum input variables are encoded as a chromosome and fitness of each chromosome is computed. Simulation results have shown that the complex SBR process can be modeled reasonably well by the present scheme with a much simpler structure compared with the conventional PNN model.

• 한국안전학회지
• /
• 제8권4호
• /
• pp.127-132
• /
• 1993

Porphyrin-catalyzed reduction of TNT to triaminotoluene was performed in both batch reactions and a continuous process. Packed-bed reactors were used to study porphyrin-catalyzed reduction in a continuous process. A reactor was packed with DEAD(diethylaminoethyl)-substituted glass beads on which $Co^{+3}$_centered deuteroporpgyrin Ⅸ, -2, 4-disulfonic acid was immobilized, and another containing only DEAE glass beads was used as a control. The porphyrin exhibited catalytic activity in its immobilized state up to 100 hours of operation. Based on the successful abatement of nitrobodies by porphyrin-catalyzed reduction in both batch and continuous process, this process is recommended to be used as a pretreatment for biological treatment or carbon adsorption treatment of TNT wastes.

• 한국미생물·생명공학회지
• /
• 제20권6호
• /
• pp.668-676
• /
• 1992

Alcaligenes eutrophus에 의한 poly-Beta-hydroxybuty-rate(PHB) 생산을 최적화하기 위해서 1단계에서는 성장을 최대화하고, 2단계에서는 생산을 최대화하는 이단 유가식 배양을 채택하였다. 성장단계에서 탄소원과 질소원의 최적농도는 회분식 배양 모델로부터 결정되었는데, 각기 16.64g/l와 0.54g/l이었다. 생산단계에서 질소원의 경우, 유가식 배양실험을 통해 0.07g/l가 최적인 것으로 나타났다. 탄소원의 최적농도는 모사로부터 결정되었고 이때 최적 전환시간도 함께 결정되었다. 생산공정의 제어를 위하여 시간지연을 고려한 적응비례 되먹임제어를 이용한 결과, 탄소원 농도 및 질소원농도를 최적의 상태로 유지시킬 수 있었다.

• Journal of Microbiology and Biotechnology
• /
• 제22권7호
• /
• pp.967-974
• /
• 2012

Cultivation of Spirulina platensis using ammonium salts or wastewater containing ammonium as alternative nitrogen sources is considered as a commercial way to reduce the production cost. In this research, by analyzing the relationship between biomass production and ammonium-N consumption in the fed-batch culture of Spirulina platensis using ammonium bicarbonate as a nitrogen nutrient source, an online adaptive control strategy based on optical density (OD) measurements for controlling ammonium feeding was presented. The ammonium concentration was successfully controlled between the cell growth inhibitory and limiting concentrations using this OD-based feedback feeding method. As a result, the maximum biomass concentration (2.98 g/l), productivity (0.237 g/l d), nitrogen-to-cell conversion factor (7.32 gX/gN), and contents of protein (64.1%) and chlorophyll (13.4mg/g) obtained by using the OD-based feedback feeding method were higher than those using the constant and variable feeding methods. The OD-based feedback feeding method could be recognized as an applicable way to control ammonium feeding and a benefit for Spirulina platensis cultivations.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
• /
• pp.224-228
• /
• 1994

This paper deals with a Batch processor application to determine orbit trajectories from satellite tracking data. The purpose of this paper is to find the initial state vectors. In order to determine the better estimation process, several different cases are compared. Here we adapt a minimum variance concept to develop estimation and prediction techniques. These results are compared with by SEP, Spherical Error Probable, values.

• Journal of Astronomy and Space Sciences
• /
• 제26권1호
• /
• pp.75-88
• /
• 2009

이 연구의 목적은 선형화 과정이 필요 없는 Unscented 변환(Unscented Transformation)을 사용한 후처리 배치 알고리즘을 소개하고, 기존 최소자승법을 이용한 후처리 배치 필터와 반복 UKF 스무더(Iterative Unscented Kalman Filter Smoother)들과 비교하여 추정 방법 간의 성능비교와 장단점을 분석하는 것이다. 연구에 사용된 위성 궤도 결정시스템의 동역학 방정식은 지구의 비대칭 중력장의 영향, 대기항력, 태양복사압 및 달과 태양의 중력으로 구성되었다. 관측 데이터로는 지상국으로부터 측정한 위성의 거리, 방위각과 고도각이 사용되었다. 특히, 비선형성의 영향에 대한 추정 방법 간의 성능과 장단점의 비교를 위해 위성의 포기 궤도오차별, 관측데이터의 관측 잡음의 크기별 테스트를 수행하였다. 이 연구를 통해 소개된, 선형화 과정이 필요 없는 Unscented 변환 기반의 후처리 배치 필터는, 비선형성의 특징이 증대된 상황에서 기존의 후처리 배치 알고리즘들에 비해 초기 궤도오차별, 관측데이터 잡음의 크기별 테스트 시 평균적으로 각각 약 5%와 12%정도의 정밀도 향상결과를 보였다. 또한, 기존 최소자승법을 이용한 후처리 배치필터가 발산한 상황에서도, 수렴성을 확보하는 안정적인 결과를 얻을 수 있었다. 그러므로 Unscented 변환 기반의 후처리 배치필터가 인공위성 궤도 결정 시스템에 효율적으로 사용할 수 있음을 제시하였다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.391-391
• /
• 2000

Manufacturing process generally exhibits major or minor variations due to deviation of raw materials, equipment degradation, controller malfunction, and so on. Extensive research based on multivariate statistical process control has been done to monitor the unstable states and indicate a corrective action. A prototype of intelligent operation support system ("ISYS-MSPC") has been developed as a tool that supports the enhanced operation to guarantee the high productivity and a uniform high quality product. This system has been applied to the industrial batch and continuous processes and its performance has been validated .

• Biotechnology and Bioprocess Engineering:BBE
• /
• 제11권4호
• /
• pp.351-356
• /
• 2006

This study developed an artificial neural network (ANN) to estimate the growth of microorganisms during a fermentation process. The ANN relies solely on the cumulative consumption of alkali and the buffer capacity, which were measured on-line from the on/off control signal and pH values through automatic pH control. The two input variables were monitored on-line from a series of different batch cultivations and used to train the ANN to estimate biomass. The ANN was refined by optimizing the network structure and by adopting various algorithms for its training. The software estimator successfully generated growth profiles that showed good agreement with the measured biomass of separate batch cultures carried out between at 25 and $35^{\circ}C$.