Method And Simulation Of Gradual Rough Milling Based On Surface Deformation,
2019
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China;
Method And Simulation Of Gradual Rough Milling Based On Surface Deformation, Xiulin Sui, Xiaoqi Chen, Jianghua Ge
Journal of System Simulation
Abstract: In view of uneven allowance and rough surface of traditional equal height stratification for rough milling, a gradual hierarchy process method was proposed. As the model established by T-spline surface has unified parameter domain, an improved variable distance offset method was used to define the rules of surface deformation, and a series of deformation surface sequences were obtained. The cutting depth, tool radius and other machining parameters were used as constraint conditions so as to get the sequence of processing layers. By planning the tool path of each layer, the whole tool path of gradual hierarchy process which was …
Cam Of Possible Accident For Longitudinal Slope Curve Of Mountain Freeway,
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. …
Simulation Of Blade Tip Grooving Effect On Performance Of Twin-Stage Variable-Pitch Axial Fan,
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 …
Design Of Third-Order Zero-Free Mracs Taking State Variables From Model,
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 …
Improved Model Reference Adaptive And Its Application In Grinding Process,
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 …
Collaborative Optimal Scheduling Method For Production And Energy Consumption In Discrete Manufacturing Process,
2019
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Collaborative Optimal Scheduling Method For Production And Energy Consumption In Discrete Manufacturing Process, Wenjie Chen, Wang Yan
Journal of System Simulation
Abstract: The collaborative optimization of manufacturing process and energy consumption is one of the hot research issues in intelligent optimization manufacturing. To solve the scheduling optimization problem of discrete manufacturing process, a coordinated scheduling optimization of production and energy consumption with the shortest processing time and lowest energy consumption is established. The model proposes an improved differential evolution algorithm based on adaptive mutation and crossover probability factor to solve the optimal scheduling problem. By establishing the operation-based coding method, the application of continuous algorithm in discrete optimization scheduling problem is realized by using ascending ordering rules. The effectiveness of …
System Simulation Study On Influences Of Oil Price, Policy And Public Opinion On Travel,
2019
1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100190, China; ;
System Simulation Study On Influences Of Oil Price, Policy And Public Opinion On Travel, Yijun Liu, Mengwei Li, Lian Ying
Journal of System Simulation
Abstract: With the advancement of urbanization, environmental problems such as traffic congestion and automobile exhaust pollution have received widespread attention, which made it of great significance to rationally adjust and guide people to choose green travel modes to optimize the structure of consumer travel. By constructing agent-based binary and ternary consumer driving state simulation models, three measures that may affect the consumer travel, namely, oil price regulation, policy intervention and public opinion guidance are researched, in order to explore the most influential measures, and how the three measures are more suitable for guiding healthy travel and optimizing urban road conditions, …
Domain Decomposition Based Sph Parallel Computing Method Study And Its Application,
2019
Hypervelocity Impact Research Center, China Aerodynamics Research and Development Center, Mianyang 621000, China;
Domain Decomposition Based Sph Parallel Computing Method Study And Its Application, Chen Hong, Huang Jie, Li Yi, Liu Sen
Journal of System Simulation
Abstract: To improve the speed and the capability of large scale simulation of SPH (Smoothed particle hydrodynamics), a parallel SPH method based on dynamic domain decomposition is developed. The decomposition of arbitrary numbers of subdomains is achieved by adopting dimension based factorable method. Rapid parallel cut plane search is achieved by adopting bisection method. The data communication between compute nodes is reduced by improving the subdomain assignment. A parallel SPH program was developed based on this method, with which the process of projectile hypervelocity impacting thin plate producing debris cloud was simulated. The result shows that: the method is …
Tracking Control Method Of Autonomous Dynamic Collision Avoidance For Unmanned Surface Vehicle,
2019
School of Marine Electrical Engineerin, Dalian Maritime University, Dalian 116026, China;
Tracking Control Method Of Autonomous Dynamic Collision Avoidance For Unmanned Surface Vehicle, Yunsheng Fan, Xiaojie Sun, Guofeng Wang, Guo Chen
Journal of System Simulation
Abstract: To solve the dynamic tracking control of autonomous avoidance problem of the "Lanxin" Unmanned Surface Vehicle (USV) in the unknown ocean environment, by combining the unknown dynamic collision avoidance path planning and tracking control, a dynamic tracking control of autonomous avoidance method in the unknown ocean environment is presented. In this method, in consideration of the unknown ocean environment and real time dynamic obstacle avoidance, using a dynamic obstacle avoidance algorithm based on the velocity decomposition, a dynamic autonomous avoidance controller based on USV experimental platform is designed. Simulation results show that the method is effective and accurate, …
Variable Step-Size Constrained Total Least Squares Algorithm For Space Registration,
2019
1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China; ;
Variable Step-Size Constrained Total Least Squares Algorithm For Space Registration, Jiaqiang Li, Chunyan Zhao, Jinli Chen, Ronghua Zhao, Yanping Zhu
Journal of System Simulation
Abstract: To solve the problem of location inaccuracy caused by abnormal error registration, a variable step-size constrained total least squares algorithm is presented. By building a nonlinear function relationship between step size and steps, algorithm step size is relatively large in initial stage and is very small during steady state. So this algorithm can achieve faster convergence rate and smaller steady-state imbalance noise at the same time. This algorithm reduces the convergence steps and improves the stability after convergence. Therefore this algorithm reduces the impact of abnormal error registration on location result. Meanwhile, this algorithm also makes location result more …
Spatial Target Localization Using Fuzzy Square-Root Cubature Kalman Filter,
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 …
Flower Pollination Algorithm For Multi-Objective Fuzzy Flexible Job Shop Scheduling,
2019
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Flower Pollination Algorithm For Multi-Objective Fuzzy Flexible Job Shop Scheduling, Wenhao Xu, Wang Yan, Dahu Yan, Zhicheng Ji
Journal of System Simulation
Abstract: For the uncertainty of parameters during flexible industrial process in the manufacturing workshops, a model of multi-objective fuzzy flexible job shop scheduling is established. To solve this model, the processing time, processing cost and material cost are described by triangular fuzzy numbers to minimize the makespan and production cost. An adaptive discrete flower pollination algorithm (ADMOFPA) is proposed. A discrete operator is utilized in the algorithm to discretize the solutions at the initialization period. To enhance the global exploration and local exploitation ability of ADMOFPA, an adaptive mutation operator is adopted. By simulating the instance of one …
Micro Modeling And Simulation Of Bi-Directional Pedestrian Flows Crossing Bottleneck,
2019
1. College of Computer Science, Inner Mongolia University, Hohhot 010021, China; ;
Micro Modeling And Simulation Of Bi-Directional Pedestrian Flows Crossing Bottleneck, Li Yue, Renyong Guo, Chen Liang, Jingdong Li
Journal of System Simulation
Abstract: An improved bi-directional pedestrian model based on reciprocal velocity obstacles (RVO) is proposed to investigate self-organization phenomena for bi-directional pedestrian flows crossing bottlenecks, and the influencing factors of pedestrian flow are analyzed. According to the RVO model problem, an improved method is constructed. The model of bi-directional pedestrian flows crossing bottleneck in subways based on Unity 3D is established. Based on this improved model, the bi-directional pedestrian flows crossing bottleneck in subways is simulated. Simulation results indicate that the model can veritably simulate self-organization phenomena for bi-directional pedestrian flows crossing bottlenecks in subways and pedestrians flow is an increasing …
Variable Sampling Period Scheduling Algorithm Based On Grey Neural Networks With Resource-Constrained System,
2019
1. College of Electrical and Information, Dalian Jiaotong University, Dalian 116028, China; ;
Variable Sampling Period Scheduling Algorithm Based On Grey Neural Networks With Resource-Constrained System, Weiguo Shi, Wang Li, Shao Cheng
Journal of System Simulation
Abstract: Considering networked control system of the limited resources, a kind of variable sampling period scheduling algorithm based on grey-RBF-neural-network prediction network bandwidth is proposed. According to the history and current network bandwidth values of monitoring period, the original time series of different lengths are built, and the grey prediction method is used to get different grey prediction data; the grey prediction data as the input of the RBF neural network are used to realize secondary prediction for network bandwidth, which ensures that prediction data can reflect the actual situation of the network; the absolute error integral parameter is used …
Group Consensus Of Multi-Agent Networks With Multiple Time Delays,
2019
Chongqing key laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Group Consensus Of Multi-Agent Networks With Multiple Time Delays, Lianghao Ji, Xinyue Zhao
Journal of System Simulation
Abstract: The group consensus problems for first-order and second-order multi-agent networks with multiple time delays are investigated respectively. Based on the theory of frequency-domain, some algebraic criteria are analytically proposed, which can guarantee the achievement of group consensus. The results show that the input time delays, the coupling weights and the coupling strengths between the agents play key roles in reaching group consensus, whereas communication time delays can only affect the convergence rate of the systems. The validity of the results is verified by several simulated examples.
Progress Of Quantum Information System And Its Scale Model Test,
2019
Air Force Engineering University, Xi’an 710077, China;
Progress Of Quantum Information System And Its Scale Model Test, Miao Qiang, Dewei Wu
Journal of System Simulation
Abstract: In the free-space quantum information technology application fields, such as the quantum communication system, the quantum positioning/navigation system and the quantum radar system, the non-ideal channel environment can cause quantum fading effect to destroy the availability of the whole quantum system. The development of the channel fading experiment of the quantum information transmission system was summarized and analyzed. The scale model experiment idea of the free-space quantum transmission system was put forward: the whole free-space quantum transmission system including the channel environmentwas reduced in size with a big scale factor to establish a scale model system; the operational principle, …
Decision-Making Simulation Of Farmers’ Safe Production Behavior,
2019
Business School, Beijing Technology and Business University, Beijing 100048, China;
Decision-Making Simulation Of Farmers’ Safe Production Behavior, Cui Li, Liping Luo
Journal of System Simulation
Abstract: Farmers' production behavior is the source of quality and safety of agricultural products,and the primary task to control the quality and safety of agricultural products is to research the factors affecting farmers’ behavior for safe production. We explored the factors influencing farmers’ decision-making for safe production behavior based on the theory of planned behavior and established the model of farmers' decision-making for safe production behavior based on cost-benefit theory. The model which was simulated and analyzed revealed the specific impact on farmers' safe production behavior decision from every influence factor in the quantitative point of view. Results …
Real-Time Pricing Strategy Considering The Risk Of Smart Grid,
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 …
Vibration Performance Prediction And Reliability Analysis For Bearings,
2019
Mechatronical Engineering College, Henan University of Science and Technology, Luoyang 471003, China;
Vibration Performance Prediction And Reliability Analysis For Bearings, Xintao Xia, Chang Zhen, Yunfei Li
Journal of System Simulation
Abstract: The bearing vibration signal contains a large amount of information involved in degradation of spindle system. The adding-weight one-rank local-region method is used to predict the vibration time series for bearing, and the forecasting error can be obtained by comparing and analyzing the prediction values with the actual values so as to verify the feasibility of the model. The prediction results of the future state for the bearing are processed by grey bootstrap method, and the vibration thresholds are given by the requirements of the spindle system on the bearing vibration performance. The performance reliability prediction of the bearing …
Modeling And Simulation Of Pid Networked Control Systems Based On Neural Network,
2019
1. Mechanical Engineering Inst, Dalian Jiaotong University, Dalian 116028, China; ;2. Software Technology Inst, Dalian Jiaotong University, Dalian 116028, China;
Modeling And Simulation Of Pid Networked Control Systems Based On Neural Network, Zhanzhi Qiu, Shifeng Li
Journal of System Simulation
Abstract: According to the problems of the delay compensation and PID parameters tuning of networked control systems, a class of rapid PID networked control systems based on improved BP network was proposed. Considering the problems of obtaining hidden layer nodes number and local optimum of the BP network delay prediction model, a calculation method was proposed to obtain hidden layer nodes number, and an improved genetic algorithm was proposed to train the BP network. Considering the problems of integral saturation, parameters tuning and model mismatch of the PID network control systems, a PID parameter adjuster was designed based on …
