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Articles 5311 - 5340 of 13783

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang Jun 2020

Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang

Journal of System Simulation

Abstract: In recent years, with strong robustness to fast irregular motion, the method of human motion representation based on dense trajectories has been used more and more in the field of behavior recognition. However, the relative motion of the background caused by the motion of the camera has a great influence on the extraction of the trajectories. In order to estimate the camera motion, the speed up robust feature (SURF) descriptor was used to match the feature points of each frame. Since the human motion and the camera motion were not same, human detection was added to remove inconsistent matches. …

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Novel Hierarchical Level Of Detail Combinatorial Optimization Method For Large-Scale 3d Scene, Che Li, Fengju Kang, Xueli Hou Jun 2020

Novel Hierarchical Level Of Detail Combinatorial Optimization Method For Large-Scale 3d Scene, Che Li, Fengju Kang, Xueli Hou

Journal of System Simulation

Abstract: The traditional design process of large-scale 3D scene is cumbersome and lengthy and fail to provide ideal scene rendering effect. Aiming at this problem, a feedback mechanism based combinatorial optimization of level of detail (LOD) model for large-scale 3D scene was proposed. Through analyzing the influence of observation distance, moving speed and other factors on visual perception, the mathematical model of visual sensitivity was established. By the frame rate and visualization effect feedback, invoking the model level selection criterion to adjust the model's LOD level, and eventually an optimal scene model combination solution could be obtained. Experimental results demonstrate …

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Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of flexible job shop scheduling problem, a multi-objective scheduling model with maximum completion time and minimum energy consumption was proposed. An improved shuffled frog leaping algorithm was developed. By designing the local updating strategy based on crossover operation of maximum preserved crossover (MPX) and shifting operation of single parent gene algorithm (PGA), it avoided the illegal solution and trimming of the algorithm. Additionally, it accelerated optimization rate of the algorithm. And the optimal solution of the group was optimized by the simplified neighborhood optimization strategy to prevent the algorithm from falling into the local optimum. …

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Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu Jun 2020

Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu

Journal of System Simulation

Abstract: The real-time prediction of the air contaminant dispersion in chemical industry park is important to the emergency management of air pollution accident. Due to the unknown source terms and the error of input parameters in the atmospheric dispersion model, the accuracy of traditional simulation is limited. A data driven atmospheric dispersion simulation based on source estimation and particle filter was proposed. Based on the results of the source estimation, particle filter was applied to assimilate the UAV observation into the dispersion model in real time to calibrate the system state and obtain more accurate prediction results. Experiments show that …

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Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the purpose of improving the speed regulation of permanent-magnet synchronous motor (PMSM) under disturbances and uncertainties, a nonlinear control algorithm based on nonsingular terminal sliding mode control method (NTSMC) was proposed. A speed tracking controller was presented by introducing a nonsingular terminal sliding mode manifold, which could not only solve the singularity problem but also make the manifold converge to zero in finite time. For the sake of reducing chattering phenomenon caused by discontinuous switching term, which usually contained sign function, a hyperbolic tangent function was utilized accounting for its continuity. Compared with the PI control method, the …

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Energy Efficiency Evaluation Of Discrete Manufacturing System Based On Improved Entropy Method, Zhuqing Peng, Wang Yan, Zhicheng Ji Jun 2020

Energy Efficiency Evaluation Of Discrete Manufacturing System Based On Improved Entropy Method, Zhuqing Peng, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the characteristic of dynamic change randomness, variety, complexity and diversity in discrete manufacturing system, nine evaluation indexes were concluded from four aspects including product, equipment, economy and task flow, and energy efficiency evaluation index construction of discrete manufacturing system was structured. An improved entropy method was proposed. As the discrete degree of an index was too large when the entropy method was used to assign weight, the weight of the index would be very large. The idea of Analytic Hierarchy Model was used to improve the entropy method. So the improved entropy method could evaluate the discrete manufacturing …

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Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao Jun 2020

Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao

Journal of System Simulation

Abstract: KNNR (K Nearest Neighbor Based Nonparametric Regression) Method was used for short-term traffic forecast and the choice of state vector was studied. The result shows that taking the data of some historical periods as the state vector has a good prediction. Although the correlation of the historical passenger flow between different Rail transit sites is significant, it neglects the fact that the passengers enter each station is independent. So taking the historical passenger flow of adjacent sites as the state vector is not appropriate.

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Research And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu Jun 2020

Research And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu

Journal of System Simulation

Abstract: Studying the source term estimation methods of pollution in chemical clusters is effective to avoid accidents, since biochemical disasters have brought great loss to human beings. Safety monitoring of chemical industry parks was modeled via unmanned aerial vehicle (UAV) monitoring system, inverse problem model, ridge regression model, and particle swarm optimization algorithm. Based on that, a practical case was given to analyze results of experiment. Research findings are helpful for risk assessments and emergency management.

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Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji Jun 2020

Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of complexity, constraint in discrete manufacturing workshop, in order to minimize the total energy consumption of the workshop as the target, discrete knowledge pigeons algorithm was proposed to solve discrete workshop energy efficiency optimization. In this algorithm, parameter knowledge was introduced into the optimization process to balance local search and global search, and the convergence and optimization ability of the algorithm were improved. The discrete process was added to the pigeons algorithm, which not only preserved the convergence and optimization ability of the algorithm, but also made the algorithm capable of dealing with discrete problems. …

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Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie Jun 2020

Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie

Journal of System Simulation

Abstract: There are many problems in current detection methods such as conditional limitations and complexity of calculation which make them not easy to be put into practical application. The relationship between the servo motor information and the failure of the control surface was analyzed, and a method of detecting the failure rate of the control surface by using the servo current information in combination with the aerodynamic model was proposed. The result of its hardware-in-the-loop simulation shows that the detection system can quickly and accurately output the failure rate within 1 second which is a conservative estimate. That makes the …

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Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics, Huang Song, Wang Yan, Zhicheng Ji Jun 2020

Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics, Huang Song, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: According to the characteristics of power system, an model of dynamic economic load dispatch based on multiple fuel resources and 24-hour forecasting load demand was established, and a particle swarm optimizer using multi-information characteristics of all personal-best information was proposed to solve it. In the algorithm, centroid position and median position were defined, and then the personal-best position, centroid position and median position was developed to modify the velocity update formula. The algorithm could reduce the premature phenomenon for solving complex optimization problems, and it could make effectively solve dynamic economic load dispatch. The simulation was conducted to optimize …

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Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to solve the problem of uneven load and energy consumption under disturbance, a flexible job shop scheduling model with average flow time and energy consumption was constructed. Aiming at the above model, a genetic and simulated annealing algorithm (GASA) was designed, which is based on the genetic algorithm and the simulated annealing algorithm. A new group of individuals were generated by genetic algorithm. And then the individual simulated the annealing process, in order to avoid falling into the local optimal. Aiming at the dynamic flexible job shop scheduling problem, the rolling window technique and GASA algorithm were …

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Non-Singular Terminal Sliding Mode Control For Bank-To-Turn Missile Based On Active Disturbance Rejection Decoupling Controller, Ma Fei, Yunjie Wu, Mingzhi Cheng Jun 2020

Non-Singular Terminal Sliding Mode Control For Bank-To-Turn Missile Based On Active Disturbance Rejection Decoupling Controller, Ma Fei, Yunjie Wu, Mingzhi Cheng

Journal of System Simulation

Abstract: An overload tracking model was established, based on the traditional model of BTT (Bank-to-Turn) missile, and an ADRDC (active disturbance rejection decoupling controller) was designed because of the strong coupling problem in this model. For the coupled channel, the decoupling was performed by the ADRDC, and then the NTSMC (non-singular terminal sliding mode controller) was added. For the non-coupled channel, only the NTSMC was designed. The experimental results show that the new control strategy can combine the strong robustness of ADRDC with the finite time convergence ability of NTSMC. Besides, it shows good dynamic performances and steady-state …

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Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji Jun 2020

Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Due to the characteristics of long time-consuming, energy consumption and high concentration in rubber tire vulcanization process, which is the tire production process bottlenecks process, a discrete distribution estimation algorithm (EDA) was proposed to solve the problem of vulcanization shop scheduling optimization with minimum maximum completion time as the optimization target. The algorithm was tested by different examples, and it was compared with the genetic algorithm and the harmony search algorithm. The experimental results show that the EDA algorithm is superior to the genetic algorithm and the harmony search algorithm in the quality of the solution and convergence speed, …

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Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji Jun 2020

Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to recognize rolling bearing's fault types accurately according to the optimal characteristics of fault vibration signal of rolling bearing, a rolling bearing fault diagnosis method was proposed based on orthogonal matching pursuit algorithm and the optimized wavelet kernel extreme learning machine method. The OMP algorithm was used to de-noising the vibration signal of the bearing. The wavelet packet decomposition of the signal after de-noising was used to obtain the frequency band energy, and the fault characteristics were extracted. By using an improved whale optimization algorithm based on von-neumann, the penalty factor and kernel parameter of wavelet kernel …

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Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei Jun 2020

Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei

Journal of System Simulation

Abstract: In the large-scale simulation of war game, the air mission is the focus of the commander's attention. The rapid, accurate and automatic recognition of air missions is the prerequisite and basis for intelligent decision making. The rapid development of deep learning technology provided a practical and feasible solution for the extraction of complex battlefield posture features, and provided technical support for studying air mission recognition. The research progress of the traditional mission recognition research method and the mission recognition method based on the deep learning was summarized. The three methods of deep learning of Convolution Neural Network (CNN), Long-short …

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Theoretical Model And Validation Of Delivery Time Of Ltp In Deep Space Communication, Wang Yang, Yang Hong, Xiaoguang Chen, Ding Kai Jun 2020

Theoretical Model And Validation Of Delivery Time Of Ltp In Deep Space Communication, Wang Yang, Yang Hong, Xiaoguang Chen, Ding Kai

Journal of System Simulation

Abstract: An accurate theoretical model of LTP in deep space communication was established, taking into account the characteristics of extremely long propagation delay, intermittent connectivity, asymmetric data rates and high error rates. Compared with the theoretical model built before, the model paid more attention to the different impacts of losses of different types of LTP data segments, multiple-session transmission characteristic of LTP, and calculated the expected value of transmission rounds. The performance of theoretical model with different channel BERs and file sizes was simulated and analyzed by MATLAB. A DTN testbed was built and the actual file transfer experiments …

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Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin, Jiaquan Lin, Ruiting Wang, Pi Jun, Ma Min, Jianzhong Yang Jun 2020

Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin, Jiaquan Lin, Ruiting Wang, Pi Jun, Ma Min, Jianzhong Yang

Journal of System Simulation

Abstract: In order to study the impact of the cabin air conditioning supply velocity on CO diffusing in the fire smoldering phase and the effect of the transportation of CO to human body, a simulation model of A320 aircraft cabin was established, and velocity field and CO concentration field under the different air supply velocity were simulated based on the fluid dynamics control equations. The relationship between the air conditioning supply velocity and the value of CO concentration as well as the diffusion area was obtained by the analysis of the transportation of CO in different directions. The drainage efficiency …

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Skeleton Extraction From Three-Dimensional Maize Based On Kinect, Zhili Fang, Weiliang Wen, Xinyu Guo, Jianwei Wu Jun 2020

Skeleton Extraction From Three-Dimensional Maize Based On Kinect, Zhili Fang, Weiliang Wen, Xinyu Guo, Jianwei Wu

Journal of System Simulation

Abstract: Aiming at acquiring three-dimensional skeleton of maize plant efficiently, an automatic three-dimensional maize plant skeleton extraction method based on Kinect data was proposed. Kinect data was transformed into point cloud data. Backgroundpoint cloud was deleted by threshold segmentation and the point cloud was stratified according to the height of the 3D model. Each layer was clustered by two circle iteration and the center points of each cluster could be obtained. The set of center points could be considered as the skeleton points of maize. The quadratic B-spline interpolation curve was used to obtain relatively accurate and smooth linear …

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Study On Simulation Technology Of Agile Satellite Working Mode Based On Mvc, Zhao Lin, Huizhi Yang, Hao Yong, Liu Yuan, Xiaowen Wu Jun 2020

Study On Simulation Technology Of Agile Satellite Working Mode Based On Mvc, Zhao Lin, Huizhi Yang, Hao Yong, Liu Yuan, Xiaowen Wu

Journal of System Simulation

Abstract: To study on the method and effectiveness of large angle maneuver and push broom imaging for agile satellite, an agile satellite working mode simulation system was established based on MVC though analyzing imaging model, satellite parameters and orbital parameters of “Quickbird2”, a high resolution of commercial remote sensing satellite in the United States. The simulation system took VC2010 as software development environment, adopted MVC framework technology to realize information exchange between various members of the system, put satellite orbit data, attitude data and imaging data of simulation output into STK engine to realize 2D/3D scene visualization of agile satellite …

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Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan Jun 2020

Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan

Journal of System Simulation

Abstract: Because classical washout algorithm exists false cues and phase retardation, these problems cause the lack of motion proprioceptive fidelity in flight simulators. By combining human vestibular perception system and the theory of fuzzy logic control to regulate the feedback of its sensory error, the translational acceleration channel, the Tilt coordination channel and the angular velocity channel of classical wash out algorithm were compensated, respectively. Simulation and modeling was carried out by fuzzy logic washout algorithm, and simulation verification was conducted on a set of flight data within fuzzy logic washout algorithm. The simulation results show that the theory of …

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Research On Assessment And Decision Making Simulation Platform For Performance Of Diesel Engine Mixed With Water, Xianghuan Zu, Chuanlei Yang, Yinyan Wang Jun 2020

Research On Assessment And Decision Making Simulation Platform For Performance Of Diesel Engine Mixed With Water, Xianghuan Zu, Chuanlei Yang, Yinyan Wang

Journal of System Simulation

Abstract: Focusing on assessment and decision making of the performance of diesel engine mixed with water under different water blending proportion, the grey decision making model for the best water blending proportion and evaluation model were established and implemented with the language of MATLAB based on grey decision making and grey-correlation analysis at first, which can offer theory supporting for the decision making of the best water blending proportion. The assessment and decision-making simulation platform was designed by GUI, which has the function of correlation analysis, decision making of the best water blending proportion, etc. The simulation platform case shows …

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Research On City Agglomeration Compound Traffic Reliability, Chengbing Li, Yucheng Hao, Wenying Wang Jun 2020

Research On City Agglomeration Compound Traffic Reliability, Chengbing Li, Yucheng Hao, Wenying Wang

Journal of System Simulation

Abstract: To improve the city agglomeration traffic network's ability to fight a sudden disasters, empirical research was made on city agglomeration traffic network reliability from a new view. The weighted traffic network model of the single transportation mode in urban agglomeration was built so that city agglomeration compound traffic network was formed by the superposition. The change of the traffic network reliability was quantified from relative size maximum connectivity graph, local efficiency rate, global efficiency rate. The nodes and edges of weighted road traffic network and compound traffic network face random attack and deliberate attack were simulated, analyzing …

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Analysis Of Evolutionary Game Of Stakeholders In Service-Oriented Manufacturing Project Governance, Benhong Peng, Xiaofen Gu, Lu Qian Jun 2020

Analysis Of Evolutionary Game Of Stakeholders In Service-Oriented Manufacturing Project Governance, Benhong Peng, Xiaofen Gu, Lu Qian

Journal of System Simulation

Abstract: For the project governance of service-oriented manufacturing, there are three stakeholders, namely core manufacturer, customer, and service provider. Stability of three participants' evolutionary game was analyzed, the evolutionary game model was constructed and the dynamic game process of three - party Strategy Selection was studied by means of system dynamics simulation. Research shows that three participants eventually reach a steady state, which is core manufacture supervising, customer joining in, and service provider working hard; customer pays more attention to insured factors when choosing strategy; service provider's endeavor does not always aggrandize customer's expected revenue; The core manufacturing should fix …

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Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang Jun 2020

Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang

Journal of System Simulation

Abstract: The topology changes frequently in cognitive wireless network as nodes' mobility, the main user interference, residual energy of nodes which cause link unavailable. A new topology control algorithm based on predict of link available time was proposed to resolve the problem. The algorithm forecasted link available time using probabilistic principles, and built a stable topology with longest available time links. Simulation results show that the new algorithm can take advantage of links with low mobility nodes, less interference caused by the primary user, and large remaining energy, simplify the network topology, effectively reduce the cost of the link topology …

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Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji Jun 2020

Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to address the common problems of lacking of phase and interturn short circuit fault, after analyzing the basic and corresponding fault model of permanent magnet synchronous motor(PMSM), an improved extreme learning machine (IELM) algorithm was proposed based on self-adaptive second-order particle swarm optimization (SaSECPSO). SaSECPSO employed adaptive inertia weight and cognitive coefficient with linear variation to improve the convergence rate and accuracy of second-order particle swarm optimization (SECPSO). In addition, the recognition rate of extreme learning machine (ELM) when solving the fault model of PMSM could be significantly improved by using SaSECPSO to simultaneously optimize input weights …

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Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem, Shengming Liu, Shuxing Feng Jun 2020

Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem, Shengming Liu, Shuxing Feng

Journal of System Simulation

Abstract: As the disruption management simulation for multi-mode resource-constrained project scheduling problem received little concern, a pretty reasonable disruption management simulation process was designed. After analyzing the functional weakness of MS Project, disruption management simulation for multi-mode resource-constrained project scheduling problem was implemented by optimized computation of CPLEX Studio IDE. According to examples from Project Scheduling Problem Library, the cases of a single disruption in a single moment and multiple disruptions in multiple moments were simulated as well as analyzed. The results show that the resource conflicts play an important role on time limit of whole project and simulation process …

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Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method, Musheng Luo, Zongjie Wang, Wencai Ge Jun 2020

Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method, Musheng Luo, Zongjie Wang, Wencai Ge

Journal of System Simulation

Abstract: To solve the limitation of multi-parameter analysis using one by one optimization method, search submarine parameters optimization of antisubmarine helicopter using dipping sonar was studied. After analyzing the submarine-search process of dipping sonar, search probability and average time of search cost were made as the indexes. The seven primary factors which influenced submarine-search efficiency were analyzed and corresponding factorial levels were selected. Based on orthogonal design method, the orthogonal test schemes of L18(61×36) were built, which could simulate seven parameters when their value changed simultaneously. Monte Carlo simulation model was built and all …

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Adaptive Control For Hydraulic Servo Position System With Bounded Input, Jianfei Shi, Shujuan Yi Jun 2020

Adaptive Control For Hydraulic Servo Position System With Bounded Input, Jianfei Shi, Shujuan Yi

Journal of System Simulation

Abstract: An adaptive state feedback controller based on neural network fitting was proposed for hydraulic servo position systems containing parameter uncertainties, external disturbance and bounded input problem. Taking the saturation characteristic into account sufficiently, the adaptive state feedback trajectory tracking controller was designed with an adaptive law to real-timely adjust the disturbance parameters and the bounded hyperbolic tangent functions to promise the bounded of the control law. Moreover, the complete stability and performance analysis were presented using Lyapunov theory. Simulation results show the effectiveness of the designed controller for the trajectory tracking in the present of actuators saturation.

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Simulation Study Of Nuclear Fuel Cycle Mode Based On Third Generation Pwr In China, Zhibin Liu, Ma Jin, Bingshu Wang, Xinhui Duan Jun 2020

Simulation Study Of Nuclear Fuel Cycle Mode Based On Third Generation Pwr In China, Zhibin Liu, Ma Jin, Bingshu Wang, Xinhui Duan

Journal of System Simulation

Abstract: Based on the State Council 2012 “Nuclear Safety Plan (2011-2020)” and “Nuclear Medium and Long-term Development Plan(2011-2020)”, the report of “the research on China energy medium and long-term(2030, 2050) development strategy”of China Academy of Engineering Physics and “Chinese 13th Five-Year Plan ” combined the primary of operating M310 type reactors and the third generation HPR1000, AP1000, CAP1400, and the current and future PWR nuclear fuel cycle mode was studied under MATLAB simulation environment employing “once through” mode. The demand of natural uranium resource, separate works, the amount of spent fuel, plutonium, also minor actinides arising following the accumulative PWR …

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