• 제목/요약/키워드: Code Optimization

검색결과 594건 처리시간 0.025초

유전자 알고리즘에 의해 최적화된 모델예측제어를 이용한 PWR 출력제어기 (A Pressurized Water Reactor Power Controller Using Model Predictive Control Optimized by a Genetic Algorithm)

  • 나만균;황인준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.104-106
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    • 2005
  • In this work, a PWR reactor core dynamics is identified online by a recursive least squares method. Based on this identified reactor model consisting of the control rod position and the core average coolant temperature, the future average coolant temperature is predicted. A model predictive control method is applied to design an automatic controller for thermal power control in PWRs. The basic concept of the model predictive control is to solve an optimization problem for a finite future at current time and to implement as the current control input only the first optimal control input among the solutions of the finite time steps. At the next time step, the procedure to solve the optimization problem is then repeated. The objectives of the proposed model predictive controller are to minimize both the difference between the predicted core coolant temperature and the desired one, and the variation of the control rod positions. Also, the objectives are subject to maximum and minimum control rod positions and maximum control rod speed. Therefore, the genetic algorithm that is appropriate to accomplish multiple objectives is used to optimize the model predictive controller. A 3-dimensional nuclear reactor analysis code, MASTER that was developed by Korea Atomic Energy Research Institute (KAERI), is used to verify the proposed controller for a nuclear reactor. From results of numerical simulation to check the performance of the proposed controller at the 5%/min ramp increase or decrease of a desired load and its 10% step increase or decrease which are design requirements, it was found that the nuclear power level controlled by the proposed controller could track the desired power level very well.

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구형 빔 패턴 형성을 위한 다층 원형 도체 배열 구조의 최적화 연구 (A Study on Optimization of a Multi-Layered Metallic Disk Array Structure for Shaping of Flat-Topped Element Patterns)

  • 엄순영;박한규
    • 한국전자파학회논문지
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    • 제14권10호
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    • pp.985-995
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    • 2003
  • 본 논문에서는 $\pm$20$^{\circ}$의 구형 빔 패턴 형성을 위한 삼차원 다층 원형 도체 배열 구조의 최적화 설계 변수들에 대하여 연구하였다. 원형 도파관 여기에 의한 다층 원형 도체 배열 구조의 각 방사 소자는 입력 원형 도파관, 임피이던스 정합용 원형 도파관, 방사 원형 도파관 그리고 그 위에 적층된 유한개의 원형 도체 배열층들로 구성되며, 각 방사 소자들은 원추형 빔 스캐닝에 적합한 정육각형 격자 배열 구조를 이룬다. 본 논문에서는 다층 원형 도체 배열 구조에 대한 해석 알고리듬을 제시하고, 이것을 프로그램 코드화하여 최적화 설계 변수 추출을 위한 다양한 설계 변수 변화에 대한 시뮬레이션을 수행하였다. 또한, 다층 원형 도체 배열 구조의 구형 빔 패턴 및 반사 계수에 대한 대역폭 특성을 살펴 보았으며, 그 결과 다층 원형 도체 배열 구조는 최소한 5.6 %의 주파수 대역폭내에서 $\pm$20$^{\circ}$의 양호한 구형 빔 패턴을 형성함을 알 수 있었다.

Health monitoring sensor placement optimization for Canton Tower using virus monkey algorithm

  • Yi, Ting-Hua;Li, Hong-Nan;Zhang, Xu-Dong
    • Smart Structures and Systems
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    • 제15권5호
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    • pp.1373-1392
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    • 2015
  • Placing sensors at appropriate locations is an important task in the design of an efficient structural health monitoring (SHM) system for a large-scale civil structure. In this paper, a hybrid optimization algorithm called virus monkey algorithm (VMA) based on the virus theory of evolution is proposed to seek the optimal placement of sensors. Firstly, the dual-structure coding method is adopted instead of binary coding method to code the solution. Then, the VMA is designed to incorporate two populations, a monkey population and a virus population, enabling the horizontal propagation between the monkey and virus individuals and the vertical inheritance of monkey's position information from the previous to following position. Correspondingly, the monkey population in this paper is divided into the superior and inferior monkey populations, and the virus population is divided into the serious and slight virus populations. The serious virus is used to infect the inferior monkey to make it escape from the local optima, while the slight virus is adopted to infect the superior monkey to let it find a better result in the nearby area. This kind of novel virus infection operator enables the coevolution of monkey and virus populations. Finally, the effectiveness of the proposed VMA is demonstrated by designing the sensor network of the Canton Tower, the tallest TV Tower in China. Results show that innovations in the VMA proposed in this paper can improve the convergence of algorithm compared with the original monkey algorithm (MA).

DESIGN OF A LOAD FOLLOWING CONTROLLER FOR APR+ NUCLEAR PLANTS

  • Lee, Sim-Won;Kim, Jae-Hwan;Na, Man-Gyun;Kim, Dong-Su;Yu, Keuk-Jong;Kim, Han-Gon
    • Nuclear Engineering and Technology
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    • 제44권4호
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    • pp.369-378
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    • 2012
  • A load-following operation in APR+ nuclear plants is necessary to reduce the need to adjust the boric acid concentration and to efficiently control the control rods for flexible operation. In particular, a disproportion in the axial flux distribution, which is normally caused by a load-following operation in a reactor core, causes xenon oscillation because the absorption cross-section of xenon is extremely large and its effects in a reactor are delayed by the iodine precursor. A model predictive control (MPC) method was used to design an automatic load-following controller for the integrated thermal power level and axial shape index (ASI) control for APR+ nuclear plants. Some tracking controllers employ the current tracking command only. On the other hand, the MPC can achieve better tracking performance because it considers future commands in addition to the current tracking command. The basic concept of the MPC is to solve an optimization problem for generating finite future control inputs at the current time and to implement as the current control input only the first control input among the solutions of the finite time steps. At the next time step, the procedure to solve the optimization problem is then repeated. The support vector regression (SVR) model that is used widely for function approximation problems is used to predict the future outputs based on previous inputs and outputs. In addition, a genetic algorithm is employed to minimize the objective function of a MPC control algorithm with multiple constraints. The power level and ASI are controlled by regulating the control banks and part-strength control banks together with an automatic adjustment of the boric acid concentration. The 3-dimensional MASTER code, which models APR+ nuclear plants, is interfaced to the proposed controller to confirm the performance of the controlling reactor power level and ASI. Numerical simulations showed that the proposed controller exhibits very fast tracking responses.

크기최적화 이후에 나타나는 공간구조물의 후 좌굴 거동 변화에 대한 연구 (Mechanical Characteristic Test of Architectural ETFE Film Membrane)

  • 이상진;정지명
    • 한국공간구조학회논문집
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    • 제9권3호
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    • pp.75-82
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    • 2009
  • 본 연구에서는 선형이론을 바탕으로 한 이산계열 대공간구조물의 크기최적화에 따른 후좌굴 거동의 변화에 대하여 조사하고 그 결과를 기술하였다. 먼저 공간구조물의 최적의 부재크기 패턴을 조사하기 위하여 수학적 프로그래밍 기법을 도입하였다. 이때 최소화 해야하는 공간구조물의 전체 부재의 중량을 목적함수로 이용하고 절점에서 발생하는 변위 값과 각 부재에서 발생하는 응력 값을 허용치 이하로 제한하는 제약조건으로 사용하였다. 크기최적화를 통하여 도출된 최적 부재패턴을 가지는 공간구조물의 후좌굴 거동을 통합 비선형해석기법으로 해석하고 그 결과를 분석하였다. 수치해석을 통하여 크기최적화에 따른 공간구조물의 후좌굴 거동의 변화는 매우 큰 것으로 나타났으며 이러한 후좌굴 거동의 변화에 대한 예측과 분석결과가 공간 구조물의 설계에 고려되어야 할 것으로 판단된다. 또한 본 연구에서 제시한 수치해석 결과는 이산계열 대공간구조물의 설계에 기본 데이터로 제시하였다.

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항공물류 이해관계자들의 표준 인터페이스 방안 연구(2) (A Study on Interface Standard for Agencies of Air Logistics(2))

  • 이두용;이태윤;송영근;권대우;이창호
    • 대한안전경영과학회지
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    • 제12권2호
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    • pp.153-159
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    • 2010
  • The air logistics process is complex and needs many informations because various agencies participate in the logistics service and many stakeholders in air logistics. But it is hard to improve the infra of facilities because of an enormous expense, so air logistics process has to simplify for growing air freight. Nevertheless some documents are same, they should be changed due to different format. Also documents have to change even though different documents have same informations. Consequently, errors are increased because the names of the same data are different from each other and stakeholders have to reproduce the documents. In order to mitigate these problems, we selected documents and analyzed document data for the interface optimization in general air logistics process. Next, we unified the data names and defined contents of data. Also we set the type of the defined data on DB type, and gave the code to the defined data. It made easy to exchange informations among the stakeholders to match documents corresponding with the defined data. Finally, the simulation of air logistics processes was performed the quantitative analysis of the data that occur in the air logistics. In conclusion, we expect to reduce the inefficiency such as reproduction of data and the errors by improving the interface of information.

시공간 동시분할 공정 시뮬레이션을 통한 질소 및 인 제거 최적화 방안 (Optimization of Nitrogen and Phosphorus Removal of Temporal and Spatial Isolation Process by Model Simulation System)

  • 유동진;장덕;신형수;박상민;홍기호;김수영;김명준
    • 한국물환경학회지
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    • 제23권2호
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    • pp.206-215
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    • 2007
  • The objective of this study was to establish the optimal system operating strategies for nitrogen and phosphorus removal through model simulation system built for advanced wastewater treatment targeting on simultaneous temporal/special phase isolation BNR process. The simulation system was built with unit process modules using object modules in GPS-X code. The system was well verified by field experiment data. Simulation study was carried out to investigate performance response to design and operation parameters, i.e. hydraulic retention time (HRT), solids retention time (SRT), and cycle time. The process operated at HRTs of 10~15 hours, longer SRTs, and cycle time of 2 hours showed optimal removal of nitrogen. The HRTs of 10~15 hours, SRTs of 20~25 days, and longer cycle time was optimal for phosphorus removal. Both simulation and field studies showed that optimal operating strategies satisfying both the best nitrogen and phosphorus removals include HRTs ranged 10~15 hours, SRTs ranged 20~25 days, and cycle times of 4~8 hours. The simulation system with modularization of generalized components in BNR processes was, therefore, believed to be a powerful tool for establishing optimal strategies of advanced wastewater treatment.

무선 센서 네트워크에서 노드 재프로그래밍을 위한 타부 서치 알고리즘 (A Tabu Search Algorithm for Node Reprogramming in Wireless Sensor Networks)

  • 장길웅
    • 한국정보통신학회논문지
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    • 제23권5호
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    • pp.596-603
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    • 2019
  • 무선 센서 네트워크에서 배치된 노드의 기능을 변경하거나 갱신하기 위해 노드의 소프트웨어 코드를 업데이트하는 재프로그래밍 동작은 필수적이다. 본 논문은 무선 센서 네트워크에서 노드의 재프로그래밍을 목적으로 노드의 전송에너지를 최소화하는 최적화 알고리즘을 제안한다. 또한 네트워크의 수명을 오래 유지하기 위해 전체 노드의 에너지 소모를 균형있게 유지하도록 알고리즘을 설계한다. 본 논문에서는 많은 수의 노드가 배치된 무선 센서 네트워크에서 전송에너지의 최소화와 에너지 소모의 균형화를 위해 새로운 이웃해 생성방식을 가진 타부서치 알고리즘을 제안한다. 제안된 알고리즘은 적정한 수행 시간 내에 최적의 결과를 도출하도록 설계되었다. 제안된 타부서치 알고리즘의 성능은 노드의 전송에너지와 남은 에너지, 알고리즘 수행시간 측면에서 평가되었으며, 성능 평가 결과에서 이전의 방식에 비해 우수한 성능을 보였다.

Design and evaluation of an innovative LWR fuel combined dual-cooled annular geometry and SiC cladding materials

  • Deng, Yangbin;Liu, Minghao;Qiu, Bowen;Yin, Yuan;Gong, Xing;Huang, Xi;Pang, Bo;Li, Yongchun
    • Nuclear Engineering and Technology
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    • 제53권1호
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    • pp.178-187
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    • 2021
  • Dual-cooled annular fuel allows a significant increase in power density while maintaining or improving safety margins. However, the dual-cooled design brings much higher Zircaloy charge in reactor core, which could cause a great threaten of hydrogen explosion during severe accidents. Hence, an innovative fuel combined dual-cooled annular geometry and SiC cladding was proposed for the first time in this study. Capabilities of fuel design and behavior simulation were developed for this new fuel by the upgrade of FROBA-ANNULAR code. Considering characteristics of both SiC cladding and dual-cooled annular geometry, the basic fuel design was proposed and preliminary proved to be feasible. After that, a design optimization study was conducted, and the optimal values of as-fabricated plenum pressure and gas gap sizes were obtained. Finally, the performance simulation of the new fuel was carried out with the full consideration of realistic operation conditions. Results indicate that in addition to possessing advantages of both dual-cooled annular fuel and accident tolerant cladding at the same time, this innovative fuel could overcome the brittle failure issue of SiC induced by pellet-cladding interaction.

Numerical optimization of transmission bremsstrahlung target for intense pulsed electron beam

  • Yu, Xiao;Shen, Jie;Zhang, Shijian;Zhang, Jie;Zhang, Nan;Egorov, Ivan Sergeevich;Yan, Sha;Tan, Chang;Remnev, Gennady Efimovich;Le, Xiaoyun
    • Nuclear Engineering and Technology
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    • 제54권2호
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    • pp.666-673
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    • 2022
  • The optimization of a transmission type bremsstrahlung conversion target was carried out with Monte Carlo code FLUKA for intense pulsed electron beams with electron energy of several hundred keV for maximum photon fluence. The photon emission intensity from electrons with energy ranging from 300 keV to 1 MeV on tungsten, tantalum and molybdenum targets was calculated with varied target thicknesses. The research revealed that higher target material element number and electron energy leads to increased photon fluence. For a certain target material, the target thickness with maximum photon emission fluence exhibits a linear relationship with the electron energy. With certain electron energy and target material, the thickness of the target plays a dominant role in increasing the transmission photon intensity, with small target thickness the photon flux is largely restricted by low energy loss of electrons for photon generation while thick targets may impose extra absorption for the generated photons. The spatial distribution of bremsstrahlung photon density was analyzed and the optimal target thicknesses for maximum bremsstrahlung photon fluence were derived versus electron energy on three target materials for a quick determination of optimal target design.