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Spatial Target Localization Using Fuzzy Square-Root Cubature Kalman Filter, Haoshen Lin, Xiaojun Yang, He Bing 2019 Rocket Force University of Engineering, Xi’an 710025, China;

Spatial Target Localization Using Fuzzy Square-Root Cubature Kalman Filter, Haoshen Lin, Xiaojun Yang, He Bing

Journal of System Simulation

Abstract: The tracking of spatial target based on bearing-only measurements belongs to the nonlinear model of serious. Uncertain statistical characteristics of noise, which is caused by complex space environment, leads to reduced accuracy of traditional methods. The fuzzy square-root cubature Kalman filter was presented (FS-CKF) by introducing the thought of fuzzy in square-root cubature Kalman filter (SCKF). The algorithm which uses trapezoid subordinate function to describe noise gets rid of the limitations of traditional methods and broadens the range of SCKF. The result of simulation shows that the convergence speed of FS-CKF was 32.52% and 18.28% faster than SCKF …


Simulation Of Two Stages-Variant Growth Evolution Model Of High-Speed Railway And Civil Aviation Compound Network, Xu Feng, Jinfu Zhu, Jianjun Miao, Rongrong Ding 2019 1. Nanjing Communications Institute of Technology, Nanjing 211188, China; ;2. Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;

Simulation Of Two Stages-Variant Growth Evolution Model Of High-Speed Railway And Civil Aviation Compound Network, Xu Feng, Jinfu Zhu, Jianjun Miao, Rongrong Ding

Journal of System Simulation

Abstract: Combining the special evolving characteristics of the high-speed railway and civil aviation compound network, an evolution model which has two stages with variant growth mechanism and variable parameters is constructed, and the rationality of the model is verified through mathematical simulation. The model divides the evolutionary process into two stages: the stage of single-point growth pattern, and the stage of variant and alternant growth pattern. The probability of two sub-networks’ random and commutative growth could be controlled by changing the parameters’ values, and then the evolving rhythm and scale of the compound network could be adjusted. The simulation results …


Real-Time Pricing Strategy Considering The Risk Of Smart Grid, Hongbo Zhu, Gao Yan, Yeming Dai 2019 1. School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China; ;2.Faculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai’an 223003, China; ;

Real-Time Pricing Strategy Considering The Risk Of Smart Grid, Hongbo Zhu, Gao Yan, Yeming Dai

Journal of System Simulation

Abstract: The real-time electricity price mechanism is an ideal method to adjust the power balance between supply and demand in smart grid. Its implementation has profound impacts on the users' behavior and the operation and management of electricity power grid’s safety. The users’ demand behavior plays a regulatory role in designing real-time electricity pricing strategy. Aiming at maximizing social welfare, the dynamic change of users’ aggregate demand is analyzed, which corrects the electricity risk items in online real-time risk model in the way of changing the individual user’s power fluctuations to all the users’ demand power fluctuations, and the optimization …


Simulation And Analysis Of Forced Caving Blasting Scheme For Overburden Steep Inclined Strata In Coal Mining, Tiejun Cui, Yundong Ma, Laigui Wang 2019 1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China; ;2. Tunnel & Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian 116028, China; ;

Simulation And Analysis Of Forced Caving Blasting Scheme For Overburden Steep Inclined Strata In Coal Mining, Tiejun Cui, Yundong Ma, Laigui Wang

Journal of System Simulation

Abstract: According to the actual situation of overburden steep inclined strata with horizontal fracture, the reasonable goaf forced caving blasting schemes are studied. Considering overburden characteristic and representative, two schemes are put forward with the attachment perpendicular to their break point locations. By setting different places of blasting points, the different directions of blasting and blasting area are determined, and the overlying strata movement and development characteristics of blasting fracture are analyzed. The overlying strata movement range is larger and can develop to the surface after blasting; The conclusion is that the influence range of the fracture is wide in …


Cam Of Possible Accident For Longitudinal Slope Curve Of Mountain Freeway, Mingbao Pang, Zhanghui Cai 2019 School of Civil and Transportation, Hebei University of Technology, Tianjin 300401, China;

Cam Of Possible Accident For Longitudinal Slope Curve Of Mountain Freeway, Mingbao Pang, Zhanghui Cai

Journal of System Simulation

Abstract: Based on the analysis of vehicle driving behaviors and accidents, a cellular automaton (CA) simulation model of longitudinal slope curve on mountain freeway with the possible occurrence of traffic accident was established. The model was preliminarily validated via the comparisons between the accident rates in simulation experiments and that in actual statistics for the concrete roads. The possible schemes were determined by setting the different values of road geometric linear parameters. The nonlinear behaviors of traffic flow were simulated and the accident probabilities were obtained. The relations among the accident rate and the parameters’ values were discussed. …


Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue 2019 1.College of Engineering, Bohai University, Jinzhou 121013, China; ;

Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue

Journal of System Simulation

Abstract: Elevator traffic demand pattern recognition is the prerequisite for effectively implementing the strategies of elevator group control system. In view of the characteristics of time-varying, nonlinear and uncertainty of elevator traffic demand, an elevator traffic pattern recognition method with FCM (Fuzzy C-means) clustering based fuzzy neural network is presented. The method introduces the fuzzy logic into the calculation and learning of BP neural network, and employs FCM clustering algorithm to cluster the original traffic demand to realize the fuzzy partition of the input space of fuzzy system to determine the initial value of network membership function and clustering center …


Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song 2019 School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;

Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song

Journal of System Simulation

Abstract: With the rapid development of smart grid, the status monitoring data of power grid equipment increase exponentially and gradually form the big data. Traditional computing architectures are no longer to meet the demand of computing performance. This paper explores how Spark and Cloud computing can accelerate performance of missive insulator leak current data pattern recognition. The Parallel KNN (k-Nearest Neighbor) algorithm is designed and implemented by using Spark and Aliyun E-MapReduce cloud computing platform. The results from experiments show that the performance of Spark-KNN is 2.97 times of MapReduce-KNN and gains acceleration of 8.8 times. The experimental results confirm …


Simulation And Experimental Research On Real-Time Nurbs Interpolator For Industrial Robot, Zhang Tie, Wentao Gong, Yanbiao Zou 2019 School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China;

Simulation And Experimental Research On Real-Time Nurbs Interpolator For Industrial Robot, Zhang Tie, Wentao Gong, Yanbiao Zou

Journal of System Simulation

Abstract: A real-time non uniform rational B-spline (NURBS) path interpolator with look-ahead algorithm for six-axis industrial robot is investigated. The algorithm consists of two modules: the global interpolation of the NURBS, and the look-ahead interpolator. The parametric equation of NURBS is built based on the parameter u and v, and the smooth NURBS curve is achieved from several teaching points. The velocity constraint equations are introduced initially based on chord error and centripetal acceleration, and the look-ahead velocity plan and the interpolator are investigated. The current strategy is compared with the trapezoidal acceleration and deceleration interpolator in a real-time controller …


Simulation Of Blade Tip Grooving Effect On Performance Of Twin-Stage Variable-Pitch Axial Fan, Xuemin Ye, Jiankun Zhang, Chunxi Li 2019 Key Lab of Condition Monitoring and Control for Power Plant Equipment of Education Minstry (North China Electric Power University), Baoding 071003, China;

Simulation Of Blade Tip Grooving Effect On Performance Of Twin-Stage Variable-Pitch Axial Fan, Xuemin Ye, Jiankun Zhang, Chunxi Li

Journal of System Simulation

Abstract: For a twin-stage variable-pitch axial fan, a novel blade tip treatment carving a chute from the pressure side to suction side is proposed, and fan performance under different blade tip treatments is simulated to determine the excellent treatment. The effects of blade tip grooving in a single stage or both stages on fan performance and internal dynamics are examined. Numerical results show that both blade tip treatments can improve the fan performance; the overall promotion of fan performance illustrates that the best scheme is the blade tip grooving in the first stage followed by the blade tip grooving …


Important Object Recognition Method For C4Isr System Based On Operation Traffic Mining, Zhou Fang, Chu Wei, Wendi Cheng 2019 The Information System Important Laboratory of the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;

Important Object Recognition Method For C4Isr System Based On Operation Traffic Mining, Zhou Fang, Chu Wei, Wendi Cheng

Journal of System Simulation

Abstract: Considering the problem of vital object recognition for C4ISR system under confrontation condition, a vital object recognition method based on operation traffic mining is proposed. The system operation traffics are collected, the operation data packet describing model is established based on six attribute group described method. The operation traffic association matrix and connectivity matrix are built based on the source IP and destination IP address on data packet. The inflow and outflow operation traffics about system node are counted, and the system vital computation model is established based on statistical traffics as the measurement criteria of system …


Design Of Third-Order Zero-Free Mracs Taking State Variables From Model, Qian Chao, Song Fei 2019 1. Office of Research & Development, Naval University of Engineering, Wuhan 430033, China; ;

Design Of Third-Order Zero-Free Mracs Taking State Variables From Model, Qian Chao, Song Fei

Journal of System Simulation

Abstract: Since the current design method of the relative order n*≥3 MRACS taking state variables from model introduces some linear positive feedback loops, so it is difficult to be used in practical systems. This paper took the third-order zero-free (n*=3) system as the study object and designed the controller for third-order zero-free MRACS taking state variables from model by using the zero state equivalence relation between two different control systems. The design method of the controller is based on the Popov hyperstability theory. The controller only used integrators except for a differentiator and avoided introducing linear …


Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu 2019 School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;

Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu

Journal of System Simulation

Abstract: This paper studies the formation mechanism of cutting force of SiCp / Al composite based on the processing parameters from the turning experiment, and explains the effect of cutting parameters on the cutting force of SiCp/Al composite such as cutting speed and cutting depth. To further investigate the influence of cutting parameters on cutting force, this paper conducts cutting force simulation of SiCp/Al composite based on ABAQUS, and verifies the accuracy and feasibility of the simulation by comparing with turning experimental results. The S/N ratio and variance of cutting force are analyzed using Taguchi methods. The results show that …


Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei 2019 1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China; ;2. Automation Institute of Lanzhou Petrochemical of Petro China, Lanzhou 730060, China;

Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei

Journal of System Simulation

Abstract: Adopting the discrete event-triggered communication scheme (DETCS), the satisfactory fault-tolerant control of nonlinear networked control system (NNCS) under the sparse data transmission circumstance was studied. Based on the background of event-triggered sparse data transmission, a closed-loop model with actuator failure and actuator saturation was established. Based on Lyapunov-Krasovskii function and the safety degree definition proposed in this paper, a sufficient condition was presented for NNCS with the generalized H?/H2 performance under the case of actuator saturation and actuator failure, which was the contractively invariant set of fault-tolerance with α-safety degree, and …


Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu 2019 School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China;

Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu

Journal of System Simulation

Abstract: Considering the uncertain factors in flight simulator servo system, such as friction torque and modeling error, a sliding backstepping mode control strategy based on the nonlinear extended state observer (NESO) and differentiator was put forward. The uncertain factors were defined as compound disturbances, and the NESO was used for observations in combination with real-time compensations that reduced impact on the system brought by disturbances. Differentiator was used to estimate the system state variables, hence preventing the noise amplifications caused by the difference method; law design came under the control of a sliding backstepping mode controller designed in accordance with …


Improved Model Reference Adaptive And Its Application In Grinding Process, Zhou Ying, Chen Yang, Bin Yue 2019 1. College of Control Science and Engineering,Hebei University of Technology, Tianjin 300130, China; ;2. ChinaHebei Control Engineering Research Center, Tinajin 300130, China;

Improved Model Reference Adaptive And Its Application In Grinding Process, Zhou Ying, Chen Yang, Bin Yue

Journal of System Simulation

Abstract: Aiming at the characteristics between a ball mill and a grader during the grinding process such as multi variable, strong-coupling and parameter time variation, after decoupling the mathematical model, a model reference adaptive control (MRAC) method for online automatic gain adjustment by differential evolution algorithm is proposed. Due to return sand and water supply and other factors bringing uncertainty to the controlled object model, it needs to adjust constantly adaptation gain online through the differential evolution so as to overcome the effects of parameter variations in mine operation process and various kinds of interference to system. Simulation results show …


Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui 2019 1.Tianjin University of Technology, Tianjin 300384, China; ;2.Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; ;

Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui

Journal of System Simulation

Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online …


Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang 2019 College of Information Science and Engineering, East China University, Shanghai 200237, China;

Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang

Journal of System Simulation

Abstract: Channel selection is used to locate the mental task related brain area in the brain computer interface systems. In the previous studies, the channels were selected based on the data recoded from the multi-mental tasks. However, the different mental tasks are corresponding to the different brain area. If one same brain area is selected for different mental tasks, the features of one mental task would be noises of another mental task. In this paper, a new method was presented to solve this problem based on the data of motor imagery tasks. The SVM-RFE method was used to select the …


Mining Method Of Crop Spectral And Image Correlation Modelbased On Spatio-Temporal Information, Ronghua Gao, Qifeng Li, Jingqiu Gu, Sun Xiang 2019 1. Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; ;2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; ;3. Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture, Beijing 100097, China; ;4. Beijing Engineering Research Center of Agricultural Internet of Things, Beijing 100097, China;

Mining Method Of Crop Spectral And Image Correlation Modelbased On Spatio-Temporal Information, Ronghua Gao, Qifeng Li, Jingqiu Gu, Sun Xiang

Journal of System Simulation

Abstract: When crop disease occurs, it is often displayed in the leaf, and the appearance and internal structure of the crop are changed, and the growth environment also has a certain influence on the disease. The growth environment, leaf RGB images and spectral images are fused to study the sparse feature recognition method of crop diseases based on information combination of multi spectral images. In this paper, a spatial-temporal information mining method for crop spectral and image correlation models is studied. The correlation between spectral reflectance characteristics of crop diseases and crop development, health status and growth conditions are analyzed …


Synthesized Capability-Effectiveness Evaluation Method Of Contribution Ratio To System-Of-Systems, Xiaobo Li, Lin Mu, Zhe Shu, Guibai Liu, Wang Tao, Weiping Wang 2019 1.College of Information System and Management, National University of Defense Technology, Changsha 410073, China; ;

Synthesized Capability-Effectiveness Evaluation Method Of Contribution Ratio To System-Of-Systems, Xiaobo Li, Lin Mu, Zhe Shu, Guibai Liu, Wang Tao, Weiping Wang

Journal of System Simulation

Abstract: Since modern combats represent the development trend of systematization and network, it has become an essential requirement to build and use the equipment through a system-of-systems approach. The evaluation of contribution ratio to system-of-systems (CRSOS) is an important means to advance the development of weapon equipment systematization, and it is also urgently needed to carry out in-depth research on the theoretical concepts and methods. This paper establishes the research framework of CRSOS from the classification of contribution type and the equipment management life cycle. It proposes a CRSOS definition from the perspective of capability-efficiency dimension based on current …


A Practical Approach For Building The Model Family’S Framework Of A Simulation System, Xiaocheng Liu, Bin Chen, Xiaogang Qiu 2019 1. Troop 31002 of the PLA, Beijing 100049, China; ;2. School of System Engineering, National University of Defense Technology, Changsha 410073, China;

A Practical Approach For Building The Model Family’S Framework Of A Simulation System, Xiaocheng Liu, Bin Chen, Xiaogang Qiu

Journal of System Simulation

Abstract: The model architecture of a simulation system is derived from its family’s framework, and the building approach is the first issue to be tackled to build a simulation system. Considering the experience for building model family’s framework of some typical simulation systems and the recent development of modeling technology, this paper gives a measure-centred guidable procedure for building the model family’s framework of a simulation system, summarizes its basic rules, as well as lists some key technologies and supporting tools. The approach describes step-by-step the process of framework building by two phases (eight steps). Our proposed approach has been …


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