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Articles 1291 - 1320 of 1494
Full-Text Articles in Systems Science
Influence Of Reactive Power Compensator On Power Line Communication Channel Characteristics, Wangbin Cao, Chengqun Yin, Limei Sun, Xuecai Li
Influence Of Reactive Power Compensator On Power Line Communication Channel Characteristics, Wangbin Cao, Chengqun Yin, Limei Sun, Xuecai Li
Journal of System Simulation
Abstract: Reactive power compensator is an important equipment which is widely used in power system. To study the influences of reactive power compensator on power line communication (PLC), the impedance characteristics of the reactive power compensator in the range of 50 Hz~1 MHz were measured, and the variation rule of the reactive power compensator impedance was proposed. The high frequency characteristics of dielectric materials in reactive power compensator were analyzed. And the high-frequency lumped parameter model and high-frequency two-port network model of reactive power compensator were proposed. The power line parameters-deterministic model was established based on the transmission line …
Research On Control Method For Anti-Ship Missiles Formation Flight, Mingxing Peng, Yunjie Wu, Futao Zhu
Research On Control Method For Anti-Ship Missiles Formation Flight, Mingxing Peng, Yunjie Wu, Futao Zhu
Journal of System Simulation
Abstract: To solve the formation control problem of anti-ship missiles, two approaches based on leader-followers were adopted. Leader-follower formation is a method that can control the behavior of the formation only with the behavior of leader missile, relative position between leader and followers and the control strategy of followers. This will simplify the cooperation of formation between the whole members. According to the relative position between leader-follower, the formation order was designed. Another one designed the control system based on the position of leader, followers and target. The control method can realize the formation by the simulation and …
Lpv Controller Design Of Wind Turbine Based On Double-Layer Convex Polyhedron, Xiaolin Zhang, Dinghui Wu, Song Jin, Zhicheng Ji
Lpv Controller Design Of Wind Turbine Based On Double-Layer Convex Polyhedron, Xiaolin Zhang, Dinghui Wu, Song Jin, Zhicheng Ji
Journal of System Simulation
Abstract: In order to solve the deviation in the process of linearized modeling, this method based on the double-layer convex polyhedron structure was proposed to design the linear varying parameter controller. The traditional model with scheduling variables was converted into the model with double-layer convex polyhedron structure. Combined with the gain scheduling technique and the linear matrix inequality method, the vertex controllers were constructed at the outer sphere convex polyhedron. The inner sphere convex polyhedron controllers were figured out according to the vertices controllers. The method was aimed to weakened the linear deviation, enhance the control effect of controller. The …
Thermal System Modeling Based On Entropy And Bp Neural Network, Hairong Sun, Wang Rui, Junya Geng
Thermal System Modeling Based On Entropy And Bp Neural Network, Hairong Sun, Wang Rui, Junya Geng
Journal of System Simulation
Abstract: The real-time modeling is difficult on thermal system and the model precision is not high. The convergence rate of Neural Network (NN) decreases dramatically when there are too many inputs. The BP NN modeling method based on information entropy was proposed in which the attribute reduction based on the model of approximation decision entropy was used. Field data were preprocessed by the k-means clustering algorithm and the validity was then evaluated. The approximation decision entropy was used in attribute reduction of the inputs. And the nonlinear model was built by the training of BP NN. Eventually, the proposed method …
Research On Asymptotic Stability For Markovian Jumping Neural Network With Unknown Transition Probabilities, Lu Yang, Shujuan Yi, Weijian Ren, Jiandong Liu
Research On Asymptotic Stability For Markovian Jumping Neural Network With Unknown Transition Probabilities, Lu Yang, Shujuan Yi, Weijian Ren, Jiandong Liu
Journal of System Simulation
Abstract: The analysis problem of asymptotic stability for a class of uncertain neural networks with Markovian jumping parameters and time delays was addressed. The general representative dynamic stochastic neural network model was established. The considered transition probabilities were assumed to be partially unknown. The parameter uncertainties were considered to be norm-bounded. Based on Lyapunov stability theory, by constructing a suitable Lyapunov-Krasovskii function and using the stochastic analysis method, some sufficient criteria for the stability of discrete Markovian neural networks was derived. Through the Matlab LMI toolbox, solving a set of linear matrix inequalities to test criterion, the new criterion reduced …
Research On Adaptive Analysis For Battlefield Environment Voxel Model And Classification Method Of Volume Elements, Bingchuan Jiang, Wan Gang, Chengxiao Fan, Xia Qing
Research On Adaptive Analysis For Battlefield Environment Voxel Model And Classification Method Of Volume Elements, Bingchuan Jiang, Wan Gang, Chengxiao Fan, Xia Qing
Journal of System Simulation
Abstract: For the lack of battlefield environment modeling based on surface model, the whole elements and details of the battle-field environment were described. The fundamental conception and feature of the voxel and voxel model were discussed. The battle-field environment modeling and visualization like battle-filed terrestrial environment, weather environment, electromagnetic environment and ocean environment were analyzed and researched using the voxel model. The adaptability of each battlefield environment elements modeling was discussed using the Voxel model, and the elements were classified which were suitable with the voxel model. It is the basis for modeling and visualizing the battlefield environment elements using …
Particle Swarm Ant Colony Optimization Algorithm For Solving Circle Permutation Problem, Xiaoping Xu, Qiuqiu Zhu, Wang Feng
Particle Swarm Ant Colony Optimization Algorithm For Solving Circle Permutation Problem, Xiaoping Xu, Qiuqiu Zhu, Wang Feng
Journal of System Simulation
Abstract: A particle swarm ant colony optimization algorithm of solving circle permutation problem was proposed. Based on the basis of analyzing relationship between circular permutation problem and traveling salesman problem, circular permutation problem was translated into traveling salesman problem, and it was further transformed into an optimization problem. In order to further improve the performance of the algorithm, here, four kinds of new scheme were proposed to solve circular permutation problem based on particle swarm ant colony optimization algorithm. In the simulation experiments, compared with the existing algorithm, the simulation results show that the proposed method is reasonable and feasible. …
Research Of Chinese Diphthongs Pronunciation Based On Diva Model, Shaobai Zhang, Yanli Chen, Liwen He
Research Of Chinese Diphthongs Pronunciation Based On Diva Model, Shaobai Zhang, Yanli Chen, Liwen He
Journal of System Simulation
Abstract: DIVA (Directions Into Velocities of Articulators) is a kind of adaptive neural network model which is used to simulate and describe some associative functions in brain regions involved speech production and understanding. DIVA takes 29 essential English phonemes as its language background. Since the number of Chinese pronunciation phonemes is much larger than English and the pronunciation brain mechanisms of both also make a big difference, the adaptability of DIVA model for Chinese background has to be studied specially, in order that the model can read out the thinking processes in Chinese brain. Based on DIVA, the Chinese pronunciation …
Flower Pollination Algorithm With Invasive Weed Optimization, Huihui Xiao, Yanming Duan
Flower Pollination Algorithm With Invasive Weed Optimization, Huihui Xiao, Yanming Duan
Journal of System Simulation
Abstract: In order to overcome the problems of easily relapsing into local extremum and low speed of convergence, a flower pollination algorithm with invaded weeds strategy was propsed. The algorithm generate dynamically populations, and creased the diversity and effectiveness of population by breeding, spatial diffusion and competition of invasive weeds. It could effectively avoid local optimum, enhance the capacity of global optimization, and improve the convergence speed. The comparison and analysis results of the 8 CEC2005 benchmark functions, the simulation results show that the proposed algorithm has the advantages of better global searching ability, faster convergence and more precise convergence …
Reconfigurable Rtgpu's Architecture And Simulation, Xiaopeng Cao, Jungang Han
Reconfigurable Rtgpu's Architecture And Simulation, Xiaopeng Cao, Jungang Han
Journal of System Simulation
Abstract: Although GPU has developed rapidly, the core still uses rasterization and it is a hard problem for the complex scene. The ray tracing can simulate the geometrical optics and get the better effect, but it needs the amounts of computing power. Thus, the characteristic of the ray tracing was studied and the new pipeline was designed. A dynamic reconfigurable hardware architecture (RTGPU) was put forward mapping the pipeline to it. A simulation platform was designed. According to results of experiments, more than 11x on RTGPU could be gained achieving the better performance than GPU.
Progressive Image Denoising Algorithm, Haiyang Li, Weiguo Cao, Shirui Li, Kelu Tao, Li Hua
Progressive Image Denoising Algorithm, Haiyang Li, Weiguo Cao, Shirui Li, Kelu Tao, Li Hua
Journal of System Simulation
Abstract: Currently almost all denoising algorithms are implemented by processing original noisy image itself simply, which could not enhance the performance further by combining original noisy image with the denoised image. To solve the problem, a framework of progressive image denoising method was proposed. The framework is based on the block matching and 3D collaborative filtering (BM3D) algorithm, which has the most remarkable denoising effect. It includes three layers and two fusions. Each layer is implemented by BM3D and denoises the fused image generated from the previous layers. Adequate statistical results show that under the same noise condition, our proposed …
Research On Chicken Swarm Optimization-Based Particle Filter, Jianchun Zhang, Fengju Kang, Hongtao Liang, Xu Hao
Research On Chicken Swarm Optimization-Based Particle Filter, Jianchun Zhang, Fengju Kang, Hongtao Liang, Xu Hao
Journal of System Simulation
Abstract: To solve the particle impoverishment caused by resampling in particle fileter (PF), the Chicken Swarm Optimization (CSO) was integrated into the sampling phase of generic particle filter and an intelligent optimized particle filter of CSO was proposed. According to the weight of focused particles as the fitness, the type of each particle in the population and interrelation between each one was determined. Various designed mechanisms about individual movement were introduced to update the location. Moreover, the dynamical structure of particle population was utilized to overcome weakness of local optimum and improve the optimization. On the basis, particles moved towards …
Variation Bat Algorithm With Self-Learning Capability And Its Property Analysis, Junna Shang, Chunju Liu, Keqiang Yue, Li Lin
Variation Bat Algorithm With Self-Learning Capability And Its Property Analysis, Junna Shang, Chunju Liu, Keqiang Yue, Li Lin
Journal of System Simulation
Abstract: Regarding to the evolution characteristics of standard bat algorithm, a bat algorithm with the capability of self-learning and individual variation was proposed. In this proposed algorithm, the best global individual with the self-learning capability could self-optimize within a small range of solutions and lead to other individuals develop deep searching. In addition, the each individual generated a dynamic number variation cluster in proportion its fitness value. According to the rule of greedy selection, the best individual in the variation cluster was selected which protected the excellent individual and avoided the individual degradation. The proposed algorithm made use of …
Memory Principles-Based Interpersonal Relationship Optimization, Su Jia, Guangqiu Huang
Memory Principles-Based Interpersonal Relationship Optimization, Su Jia, Guangqiu Huang
Journal of System Simulation
Abstract: In order to solve the complicated function optimization problems, a new optimization algorithm was constructed based on the memory principles (MP) and interpersonal relationship (IR), namely memory principles-based interpersonal relationship optimization (MP-IRO). There are five object types in interpersonal relationship system, including lovers, friends, enemies, villains and strangers which successively correspond to loving, gathering, attacking, rejecting, defending instincts and five operators; the loving operator gives preference to individuals which memory type is long memory(LM) and shares CP with other individuals; the gathering operator could make individuals avert local optima; the attacking operator enables an individual's vitality to increase; …
Simulation Of Cooperative Evolution Of Growing Network Based On Dynamic Payoff Matrices, Xin Qi, Zhou Xiao
Simulation Of Cooperative Evolution Of Growing Network Based On Dynamic Payoff Matrices, Xin Qi, Zhou Xiao
Journal of System Simulation
Abstract: A cooperative evolution model of growing network based on dynamic payoff matrices was built. The model involved network structure evolution caused by the increasing number of individuals and the links between them, and individual strategy evolution according to the changing payoff matrices. In this model, feedback mechanism was used to make payoff matrices vary with the network environment. And considering some parameters such as feedback intensity, the initial value of the temptation for defecting, average node degree, the effect of feedback mechanism on cooperative evolution of growing network was analyzed. Numerical simulation results show that the network grown up …
Multi-Pose Pedestrian Detection Based On Posterior Multiple Sparse Dictionaries, Lingkang Gu, Mingzheng Zhou, Wang Jun, Xiu Yu
Multi-Pose Pedestrian Detection Based On Posterior Multiple Sparse Dictionaries, Lingkang Gu, Mingzheng Zhou, Wang Jun, Xiu Yu
Journal of System Simulation
Abstract: In order to detect pedestrians effectively, a multi-pose pedestrian detection method based on posterior multiple sparse dictionaries was proposed. Through pre-learning multiple different sparse dictionaries, and sparse coding the image, statistics for each dictionary corresponds to sparse coding histogram as the pedestrian image feature descriptor. The common information of multiple sparse dictionary features of all positive samples was obtained, and the feature of a single pedestrian sample was weighted, and the features of a posteriori multiple sparse dictionary could be obtained. Then pedestrians of different poses and views were divided into subclasses with clustering algorithm. A classifier was trained …
Search Algorithm Of Multi-Level Simulation System Based On Improved B-Tree, Honghong Li, Fengju Kang
Search Algorithm Of Multi-Level Simulation System Based On Improved B-Tree, Honghong Li, Fengju Kang
Journal of System Simulation
Abstract: As the problem of low efficiency search in many members of multi-level distributed simulation system, research and analysis simulation member of multi-level tree structure, the inferiority of commonly used search methods on multi-level simulation system was given. The separation strategy to improve B-tree search algorithm and B-tree network with low communication and color in search of high efficiency was achieved by combining a low consumption of multiple simulation members fast search and network resources. The results show that this method can achieve quickly search on the multi-level simulation system simulation members and little communication network resources, and ensure the …
Online Scheduling Method Of Cluster Tools With Residency Time Constraint, Linying Li, Lu Rui, Shaohua Li, Jing Yu, Jianhua Diao
Online Scheduling Method Of Cluster Tools With Residency Time Constraint, Linying Li, Lu Rui, Shaohua Li, Jing Yu, Jianhua Diao
Journal of System Simulation
Abstract: For cluster tools with residency time constraints in semiconductor manufactory, online scheduling problem was studied when temporary wafers arrived with emergency order, rework and new product development, et al. Utilizing available resource interval, the two-layer online scheduling method was proposed without changing existing schedule. The outer layer algorithm used an improved quantum evolutionary algorithm to optimize processing order of temporary wafers. Based on the results, the inner layer algorithm gained feasible solutions from available space by backward stepwise recursive strategy, and determined start time of wafer in feasible solution space by means of reverted sequence maximum backtrack strategy. Simulation …
Research On Robot Processing Path Optimization For Multi-Contour, Xianlun Wang, Yu Yang, Yuxia Cui
Research On Robot Processing Path Optimization For Multi-Contour, Xianlun Wang, Yu Yang, Yuxia Cui
Journal of System Simulation
Abstract: The problem of robot processing path optimization for multi-contour parts was studied, and a new path planning algorithm based on the improved genetic algorithm and the minimum external triangle method was proposed. The genetic algorithm based on modified circle was applied to optimize the cutting path which selected arbitrarily, and an optimal contour sequence was found. The minimum external triangle method was used to seek the node as the tool entrance on each adjacent contour dynamically, and an optimal cutting path was constructed through several iterations in this way. Simulation results show that the cutting path for robot can …
Cascade Pid Parameter Optimization Of Main Steam Temperature Control System Based On Imperialist Competitive Algorithm, Liu Shuai, Changliang Liu
Cascade Pid Parameter Optimization Of Main Steam Temperature Control System Based On Imperialist Competitive Algorithm, Liu Shuai, Changliang Liu
Journal of System Simulation
Abstract: Thermal power plants for the main steam temperature are difficult to control, using Imperialist Competitive Algorithm to accomplish main steam temperature cascade control strategy simulation optimization. The main steam cascade PID control system with limiting and speed actuator as simulation object determined the appropriate error indicator function ITAE criterion. Several types of Cascade PID control scheme were compared. Simulation results show that Imperialist Competitive Algorithm is convenient and effective method of parameter optimization, and PID-PI cascade type system has better balanced dynamic performance, anti-interference ability.
Wind Turbine Gearing Temperature Prediction Based On Sample Optimization, Dazhong Li, Chang Cheng, Bingkun Xu
Wind Turbine Gearing Temperature Prediction Based On Sample Optimization, Dazhong Li, Chang Cheng, Bingkun Xu
Journal of System Simulation
Abstract: Condition monitoring of wind turbine can greatly raise the operation of unit and reduce the maintenance cost. Nonlinear state estimation technique (NSET) was used to construct the behavior model of gearbox bearing temperature to complete bearing temperature prediction; grey correlation analysis method was used to verify the rationality of variable selection aiming at the lack of theoretical basis for observation vector choose; similarity analysis method was used to structure simple process memory matrix to shorten the modeling time for the data redundancy of process memory matrix. Prediction residual distribution of model will change when gear box works abnormally and …
Research On General Ocean Simulation Technology, Shunli Wang, Fengju Kang, Jianhua Xu
Research On General Ocean Simulation Technology, Shunli Wang, Fengju Kang, Jianhua Xu
Journal of System Simulation
Abstract: In order to make the ocean wave simulation generalization, a generalization of the wave simulation method was put forward. In order to adapt to the deep and shallow wave simulation, the improvement based on the viewpoint of multi-resolution grid, adaptive depth wave grid model was given. In view of the diversity of wave model, the height map of a replaceable and combined of multiple wave model was generated. To speed up the simulation of the computing, the CUDA (Compute Unified Device Architecture) accelerated program was embedded in the simulation program, in the case of ocean model based on FFT, …
Adaptive Steady State Feedback Control Method Of Remote Control Console Of Well Control Simulation System, Ruimin Ma, Wenjing Zhang, Fangzhou Zhang, Ruixue Sun, Li Qiang
Adaptive Steady State Feedback Control Method Of Remote Control Console Of Well Control Simulation System, Ruimin Ma, Wenjing Zhang, Fangzhou Zhang, Ruixue Sun, Li Qiang
Journal of System Simulation
Abstract: In order to effectively protect and control right the process of drilling well control equipment and ensure the safety of the well control, it is necessary to do the drilling well control simulation training for employees. The well control remote physical simulation was designed, which created the real drilling environment for training personnel and objectively reflected the skill levels of training personnel. In order to the simulate operating close to the real environment of well control equipment, the adaptive state feedback control was applied to the remote computer simulation system of well control. According to the system characteristics, combined …
Permanent Magnet Synchronous Motor Parameter Identification Based On Improved Teaching-Learning-Based Optimization, Li Jie, Wang Yan, Zhicheng Ji
Permanent Magnet Synchronous Motor Parameter Identification Based On Improved Teaching-Learning-Based Optimization, Li Jie, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. In order to overcome the shortages of traditional identification methods such as slow speed and low identification accuracy, an improved teaching-learning-based optimization algorithm (ITLBO) was proposed to identify the permanent magnet synchronous motor parameters. In the teaching phrase, tutorial teaching mechanism was introduced to strengthen teacher's capacity and improved the convergence rate of algorithm, in the learning phrase, the course stepwise learning was used to improve learners' learning efficiency. Besides, opposition-based-learning was introduced for small probability mutation, which enhanced the possibility out …
Ship Maneuverability Index Identification Based Ais Data, Fangxin Ning, Xiong Yong, Junmin Mou, Xingdong Huang
Ship Maneuverability Index Identification Based Ais Data, Fangxin Ning, Xiong Yong, Junmin Mou, Xingdong Huang
Journal of System Simulation
Abstract: A novel method of ship maneuverability index identification on the basis of Automatic Identification System (AIS) data was proposed. By decoding and processing the raw data of AIS, data of rate of turning (ROT) are re-constructed with application of cubic spline interpolation method. Time series spectrum analysis was introduced to select appropriate ROT data segment. Based on the ROT data segment, rudder angle information was obtained by using ship Voyage Data Recorder (VDR). To identify ship's maneuverability index, particle swarm optimization algorithm (PSO) was applied to obtain ship maneuvering parameters under the current speed. The result was compared …
Research Of Strategy To Restrain Surplus Force Of Aircraft Rudder Electro-Hydraulic Loading System, Xiaolin Liu, Chunting Wang
Research Of Strategy To Restrain Surplus Force Of Aircraft Rudder Electro-Hydraulic Loading System, Xiaolin Liu, Chunting Wang
Journal of System Simulation
Abstract: For the problem that is caused by surplus torque of aircraft rudder electro-hydraulic loading system is not easy to inhibit, compound controller structure function and control strategy were proposed that combined rubber-metal buffer spring, the displacement of steering gear and speed feed forward of aircraft rudder and the output force feedback use single neuron PID based on dynamic RBF neural network on-line identification. Ant clustering algorithm was used to optimize the dynamic RBF neural network to identify the object online to obtain Jacobian information, then use the single neuron PID controller complete control parameters online self-tuning control. The …
Optimization Design And Simulation Of Washout Algorithm For Flight Simulator, Wang Hui, Daoyang Zhu, Xiaojing Fu
Optimization Design And Simulation Of Washout Algorithm For Flight Simulator, Wang Hui, Daoyang Zhu, Xiaojing Fu
Journal of System Simulation
Abstract: The key of the fidelity of flight simulators lies in the merits of the washout algorithm; the classical washout algorithm has been widely applied owing to its convenient parameter adjustment as well as rapid feedback and execution speed. However, the classical washout algorithm still exists some certain defects in its structure design, which will cause exaggerated phase retardation error and false cues thus resulting in the deterioration in dynamic fidelity of flight simulators. According to vestibular perception system, the structure redesign of the classical washout algorithm was carried out, using the compensation theory to reduce its phase retardation and …
Force/Position Control For Dual-Arm Space Robot Capturing Object, Qiuhuang Dong, Chen Li, Haiyun Li, Zhiyong Chen
Force/Position Control For Dual-Arm Space Robot Capturing Object, Qiuhuang Dong, Chen Li, Haiyun Li, Zhiyong Chen
Journal of System Simulation
Abstract: The dynamics control and simulation of dual-arm space robot capture object was studied. The dynamics model of space robot was derived by the second Lagrange equation, for the object capture process, the impact influence on space robot base and arm was calculated by momentum theory. For the space robot and object close-chain system after capturing, a force/position coordinate control algorithm was designed to control the system motion and object clamp force; the stability, reliability and safety of capture process would be ensured by the control algorithm. The simulation result based on the dynamics model and control algorithm was carried …
Research On Modeling And Control For Fuel-Steam Pressure Of Super Critical Power Unit, Junjie Gu, Zhang Yan, Jianyong Chen, Wang Peng, Wensheng Yu
Research On Modeling And Control For Fuel-Steam Pressure Of Super Critical Power Unit, Junjie Gu, Zhang Yan, Jianyong Chen, Wang Peng, Wensheng Yu
Journal of System Simulation
Abstract: The main steam pressure is an important parameter which characterizes the energy supply and demand of supercritical boiler and steam turbine, which is affected largely by the mount of fuel. At present, most fuel coal of thermal power plant is complex, calorific value fluctuates, resulting in the frequent fluctuation of the main steam pressure, seriously affecting the safe operation of the unit. A fuel main steam pressure ADRC closed loop feedback control loop was designed in the fuel control system, the spontaneous disturbance of coal-fired thermal value was estimated by ESO, which was then real time compensated in …
Study On Pulverizing System Simulation Model Of 300mw Lignite Oxygen-Enriched Combustion Boiler, Jianqiang Gao, Shaodong Sun
Study On Pulverizing System Simulation Model Of 300mw Lignite Oxygen-Enriched Combustion Boiler, Jianqiang Gao, Shaodong Sun
Journal of System Simulation
Abstract: The simulation model of the pulverizing system of a 300 MW lignite oxygen-enriched combustion boiler was developed. And the dynamic and static simulation experiments were completed, the experiments included lignite surface moisture content variation, disturbance of feeder norm speed, flue gas inlet temperature and flow rate etc. The results show that, the model is able to correctly simulate the dynamic process of the system. Moisture reduction has a larger impact on the pulverizing system operating parameters. The mill outlet temperature gets a significant rise, especially when it is less than 30%. When the feeder norm speed or flow rate …