Simulation Study Of Multiple Model Decentralized-Coordinated Predictive Control For Hybrid Wind-Thermal Power System,
2020
1. State Key Laboratory for Alternate Electric Power System with Renewable Energy SourceNorth China Electric Power University, Beijing 102206, China;;
Simulation Study Of Multiple Model Decentralized-Coordinated Predictive Control For Hybrid Wind-Thermal Power System, Yuguang Niu, Xiaoming Li, Shilin Wang, Zhongwei Lin
Journal of System Simulation
Abstract: The large-scale integration of wind power presents a higher requirement of power system operation and control. A multiple model predictive control based decentralized coordinated control, which combined the characteristics of multiple model predictive control (MPC) and interaction measurement modeling, was proposed and applied to the simulation study of a hybrid wind-thermal power system. In order to enhance the resistance against the stochastic disturbance from wind turbine, an augment correlative measured method was employed to hybrid power system modeling. The Bayesian probability based iteration method was employed to calculate the model weighting. A simple, generic hybrid power system model was …
Polynomial Neural Network With Direct Solutions And Its Interpretation Of Inputs,
2020
Department of Economics and Management of North China Electric Power University, Beijing 102206, China;
Polynomial Neural Network With Direct Solutions And Its Interpretation Of Inputs, Shen Wei, Qiushi Li, Yukun Song
Journal of System Simulation
Abstract: The generalized multivariate polynomial neural network and single-hidden-layer generalized multivariate polynomial neural network were designed and systematically studied, and the existence of the optimal weight vector was proved which could make the network the best approximation polynomial for an unknown function; The concepts of the natural upper and lower nodes in the hidden layer were created, and an indicator “value of importance” was creatively designed and the partial derivative analysis was introduced to solve the problem that the neural network was not able to interpret the relationship between variables. The weight vector directly was solved proving it optimal. In …
Research On Model Predictive Control With Dual Feedback Based On State Extension,
2020
Department of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China;
Research On Model Predictive Control With Dual Feedback Based On State Extension, Zho Xilin, Lijuan Yin
Journal of System Simulation
Abstract: Depending on the online implementation demand of Model Predictive Control (MPC) for the receding horizon control characteristic, a control strategy of dual feedback structure based on state extension was proposed. The control strategy was aimed to improve the online computational capability about the control system to achieve the control target without any change of the system information. Based on the analysis of the characteristic of MPC, the extension and conversion method of state variable was proposed according to the relationship between state variable, control variable, output variable and system model. And the structure of the control system after state …
Prediction And Estimation Of 95% Distillation Point Diesel In Delayed Coking Unit Based On Kernel Partial Least Squares,
2020
Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;
Prediction And Estimation Of 95% Distillation Point Diesel In Delayed Coking Unit Based On Kernel Partial Least Squares, Cheng Jian, Lingbo Zhang, Xingsheng Gu
Journal of System Simulation
Abstract: In order to save labor cost and time of 95% distillation point of diesel analysis, and improve the efficiency of adjusting the device, an algorithm was proposed to predict 95% distillation point of diesel based on Kernel Partial Least Squares(KPLS), on the basis of studying the process of delayed coking unit and analyzing the main factors related to 95% distillation point of diesel. The experiment results show that this algorithm can deal with the non-linear relationship among the variables effectively and quickly. Furthermore, the results also show that the model based on KPLS is better than that based on …
Research On Electronic-Protection Circuit Of Chopper Cascade Speed System Based On Matlab,
2020
1. Department of Automation North China Electric Power University, Baoding 071003, China;;
Research On Electronic-Protection Circuit Of Chopper Cascade Speed System Based On Matlab, Yongguang Ma, Zhaoyan Zhang, Xingwu Wang, Bingshu Wang, Yaming Yuan
Journal of System Simulation
Abstract: According to the topology of conventional chopper cascade speed system, the transient process of main loop during of contactor operation was analyzed when device failed. Because the contactor action required a longer time, equipment was vulnerable to the impact of high voltage, high current during the contactor action, which caused damage to power electronic devices. For contactors' drawbacks, the main circuit topology with electronic protection circuit was designed. Then transient process of conventional chopper cascade speed system and chopper cascade speed system with electronic protection circuit under high voltage power failure conditions was analyzed, and theoretics was detailedly deduced. …
Infrared Radiation Modeling Of Planets Based On Vsop87 Theory,
2020
School of Electronic Information Engineering, Beihang University, Beijing 100191, China;
Infrared Radiation Modeling Of Planets Based On Vsop87 Theory, Guo Feng, Xiaojian Xu
Journal of System Simulation
Abstract: Based on the Variations Seculaires des Orbites Planetaires (VSOP) 87 theory, an approach for generating infrared radiant scene of planetary background was presented. With the VSOP87 theory, the heliocentric coordinates of eight planets in the solar system were worked out at given time. The coordinates were revised by time correction so that real coordinates were achieved. The corrected heliocentric ecliptic coordinates of planets were converted into geocentric horizontal coordinates according to the position of the observer. After that, the projected coordinates and projected radiuses of planets were achieved from projection transformation based on the field of view (FOV) and …
Simulation Study Of Soft Switching Technology For Quasi-Z-Source Boost Converter,
2020
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Simulation Study Of Soft Switching Technology For Quasi-Z-Source Boost Converter, Kun Xia, Yanneng Zeng, Ge Yue, Xiaodi Li
Journal of System Simulation
Abstract: With the same input voltage and duty cycle, quasi-Z-source boost converter can provide higher output voltage than traditional boost converter. It has the advantages of high efficiency, wide range of practical output voltage. A quasi-Z-source boost converter topology with soft switching technology was proposed. Using assist switch replaced the diode of original topology, which could accomplish the zero voltage switching on state of the main switch. The MATLAB/Simulink simulation results show that the new topology can reduce the switch stress of main switch and increase the system stability, also it can prolong the life time of switching devices.
Research Progress On Virtual Pruning Fruit Trees,
2020
1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;;2. School of Information Science and Technology, Capital Normal University, Beijing 100048, China;
Research Progress On Virtual Pruning Fruit Trees, Mengmeng Lü, Shenglian Lu, Xinyu Guo
Journal of System Simulation
Abstract: The tree structure has a strong influence on fruit yield and quality, and pruning is one of the most important management measures of tree shapes with high yield and good quality. Pruning test or technology demonstration in real fruit trees are irreversible defects, high cost, and difficult to fast rendering of pruning. Virtual pruning of fruit trees, which is in this context with rapid progress of virtual reality technology has developed rapidly and becomes the hot research topic. The aim is to create a space of virtual and simulate fruit tree pruning and the influence of pruning, so as …
Gait Planning And Control Of Quadruped Robot With High Payload,
2020
1. Department of Automation, Key Laboratory of System Control and Information Processing, Shanghai Jiaotong University, Shanghai 200240, China;;
Gait Planning And Control Of Quadruped Robot With High Payload, Hu Nan, Shaoyuan Li, Huang Dan, Gao Feng
Journal of System Simulation
Abstract: A position controller for a quadruped robot with high payload was proposed. The robot was developed by the lab, and the high payload capacity was realized by the specific design of its actuation system, integrating novel high precision actuators, and by its legs, composed by a new family of parallel mechanisms. The foot trajectory was scheduled based on the Bezier curve in order to improve the stability of quadruped robot. The performance and efficiency of the proposed methods were verified by simulation and experiments.
Light Illumination Simulation Approach For Remote Sensing Image Based On Geometric Mapping,
2020
PLA Unit of 91635, Beijing 102249, China;
Light Illumination Simulation Approach For Remote Sensing Image Based On Geometric Mapping, Chenhao Wang
Journal of System Simulation
Abstract: Light Illumination is one of the most important parts of imaging simulation research. A new light illumination simulation approach for remote sensing image based on geometry mapping was proposed. The first step was the geometric calibration of the input image, and the visible light reflection property was extracted by the inverse rendering approach; Second, geometric information of each pixel in the input image was obtained by geometric mapping; and the simulation output of new light illumination condition could be got with the imaging calculation in the image space. Results show that the new approach can achieve simulation image of …
Flow Distribution Simulation About Slipper Pair Of Hydraulic Axial Ram Pump,
2020
1. College of Mechanical and Engineering, Liaoning Technical University, Fuxin 123000, China;;
Flow Distribution Simulation About Slipper Pair Of Hydraulic Axial Ram Pump, Wang Hui, Yuning Song, Yejiao Song
Journal of System Simulation
Abstract: Slipper pair is one of the most important frictional pairs of hydraulic axial ram pump, which is supported by static pressure to facilitate good lubricating. The fluid in the slipper pair was analyzed by using Reynolds number. The length when the flow in plunger damping hole was turbulence was shorter than that when it was laminar. To reduce the leak and prove the performance of slipper, the moisture film of sealing strip should be laminar. The flow distribution of slipper pair was analyzed by FLUENT after the model of moisture film was created. The distribution of pressure and velocity …
Partially Observed System Design Method Realizing Unambiguous Fault Diagnosis,
2020
1. School of Computer & Information, Heifei University of Technology, Hefei 230009, China;;2. College of Science, Anhui University of Science & Technology, Huainan 232001, China;;
Partially Observed System Design Method Realizing Unambiguous Fault Diagnosis, Fang Huan, Lu Yang, Yue Feng, Junming Guan
Journal of System Simulation
Abstract: The construction methodology of partially observed system realizing unambiguous fault diagnosis was studied. The observable places determination algorithm OPD was proposed, and the necessary and sufficient condition for solution existence of the algorithm with polynomial time complexity was presented, then it is proved that all transitions in the modeled system could be distinguished by setting SO. The system operating state determination algorithm SOSD was presented based on the OPD algorithm. The proposed SOSD algorithm was realized by 1-step forward marking computation of observable places set $S_O$, it doesn't rely on the initial marking $M_0$ of the controlled …
Simulation Analysis On Radial Diffusion Model For Solidification Process Of Carbon Fiber Production,
2020
1. College of Information Sciences and Technology, Donghua University, Shanghai 201620, China;;2. Engineering Research Center of Digitized Textile and Fashion Technology of Ministry of Education, Shanghai 201620, China;
Simulation Analysis On Radial Diffusion Model For Solidification Process Of Carbon Fiber Production, Lihong Ren, Xu Feng, Yongsheng Ding, Zhang Tao
Journal of System Simulation
Abstract: Considering that Polyacrylonitrile Dimethyl Sulfoxide solution and Dimethyl Sulfoxide aqueous solution were used as the spinning dope and coagulating liquid respectively, the solidification process in spinning system of carbon fiber was studied. The radial concentration distribution and the curve of time-dependence concentration were proposed. The influence of the spinning conditions on the solidification process was investigated by changing the parameters of the model. The results show that extending the coagulation time by using coarser article spinning or increasing the solid content in dope can help to obtain the fiber with uniform structure and densification. The proposed method has good …
Combat Crowd Behavior Modeling Based On Multilayered Decision-Making,
2020
Academy of Armored Forces Engineering, Beijing 100072, China;
Combat Crowd Behavior Modeling Based On Multilayered Decision-Making, Xue Qing, Wenchao Xu, Changwei Zheng, Guohui Zhang
Journal of System Simulation
Abstract: Training simulator is one important part of the virtual solider technology application, and the combat crowd behavior research can improve training effect efficiently. The model divided the combat decision-making into five layers: biomechanical, reactive, cognitive, and rational, and constructed combat crowd behavior model; proposed the concept of interaction unit that can save and perform the interaction between agents. The multilayered decision-making system used an oriented graph managed the behavior planning and built the interaction management. The model divided the combat behavior into seven basic behavior in order to simplify the combat goal. The model was used in an equipment …
Dynamic Offense And Defense Conversion Strategy Of Robot Soccer Based On Ant Colony System,
2020
Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Dynamic Offense And Defense Conversion Strategy Of Robot Soccer Based On Ant Colony System, Xianlun Tang, Jialin Zhou, Lamei Li, Zhang Yi
Journal of System Simulation
Abstract: In order to improve the offense and defense capability of robot soccer, a dynamic offense and defense conversion strategy of robot soccer based on hybrid communication mechanism of ant colony system was proposed. The mechanism enhanced robots' collaboration capabilities and avoided the conflict or task deadlock. The strategy divided the region and established the formation according to the sub-regional pheromone, and the position of the ball was regarded as the drive information. Experimental results in FIRA simulation platform show that the dynamic offense and defense conversion strategy have better performance and improve the global offense and defense capability, so …
Fault Diagnosis For Automobile Coating Equipments Based On Extension Neural Network,
2020
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China;
Fault Diagnosis For Automobile Coating Equipments Based On Extension Neural Network, Yongwei Ye, Shedong Ren, Lianqiang Ye, Shenhao Ge, Zhiqin Qian
Journal of System Simulation
Abstract: Aiming at the difficulty in discovering and eliminating the system faults of automobile coating equipments in time, a new method of fault diagnosis based on extension neural network was proposed. The feature of extension theory was used in managing the structured information through qualitative and quantitative description, and it was also combined by the characteristic of parallel construct in neural network. So the extension reasoning process was completed by means of the parallel distributed processing construct of the network. Matter-element input and output models were established according to the equipment monitoring parameters and fault types for the heating system. …
Game Theory Based Self-Adaptive Power Control Algorithm For Cognitive Radio Networks,
2020
Department of Communication Engineering, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China;
Game Theory Based Self-Adaptive Power Control Algorithm For Cognitive Radio Networks, Zhonggui Ma, Ban Sha, Guimei Chen, Linqi Chen
Journal of System Simulation
Abstract: In order to meet all cognitive users' demands in the Cognitive Radio Networks(CRNs), non-cooperative game theory was used to model power control in the CRNs, and an adaptive power control algorithm for the CRNs was put forward using payoff unction and comprehensive cost function as utility function. Meanwhile, distances from the base station, stability of the algorithm and the interference between different cognitive users were considered. The existence and uniqueness of the Nash equilibrium were analyzed. By using the comprehensive cost function, each cognitive user in a non-cooperative game becomes cooperative and the Nash equilibrium can be convergent to …
Traction Calculation Analysis And Simulation Of Urban Rail Train On Multi-Particle Model,
2020
School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
Traction Calculation Analysis And Simulation Of Urban Rail Train On Multi-Particle Model, Jianjun Meng, Xiaoqiang Chen, Ruxun Xu, Yanlong Zhang, Tengzhou Wei, Xiaoqi Jiang
Journal of System Simulation
Abstract: In order to optimize the traction operation of urban rail train, and make the train operation more accurately and closely to the reality, train multi-particle model was established on the basis of train kinematic equations and hybrid optimization traction strategy. Linear interpolation was adopted in the process of traction and braking force analysis, and the selection of braking point was obtained by reverser trial method. Then, according to the set parameters of train and line, traction operation was simulated by Matlab. Simulation results show that multi-particle model compared with single-particle model, can effectively improve precision of additional resistance on …
Two-Level Systematic Calibration Method Of Fog Strap-Down Inertial Navigation System,
2020
School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
Two-Level Systematic Calibration Method Of Fog Strap-Down Inertial Navigation System, Guiling Zhao, Qihang Yang, Li Song
Journal of System Simulation
Abstract: According to the characteristics of traditional systematic calibration method that of high state variable dimension, poor observability and easy filtering divergence, a two-level systematic calibration method was proposed. By merging the accelerometer calibration errors and FOG calibration errors, the dimension of Kalman filter was reduced. The systematic calibration method took speed error and attitude error as observation vector and designed six positions to estimate the state vector, then decoupled the estimation and calculated the calibration errors. For the characteristics that the estimated time of FOG calibration error was long and the beginning of Kalman filter convergenced rapid, it estimated …
A Multi-Objective Model For Sustainable Perishable Food Distribution Considering The Impact Of Temperature On Vehicle Emissions And Product Shelf Life,
2020
University of Texas at Arlington
A Multi-Objective Model For Sustainable Perishable Food Distribution Considering The Impact Of Temperature On Vehicle Emissions And Product Shelf Life, Amin Gharehyakheh, Caroline C. Krejci, Jaime Cantu, K. Jamie Rogers
Industrial, Manufacturing, and Systems Engineering Faculty Publications - Archive
The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf …
