Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control,
2020
Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China;
Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control, Zhiling Ren, Jiahao Han
Journal of System Simulation
Abstract: Grey model of water inflow in tunnel and time with measuring data and economic model was established after analysis for energy conservation issue of mine drainage system. Using model predictive control, a coal mines pumping water pump scheduling in non-peak periods was establish, executing the simulation of the gray model based on model predictive control and predicting the water inflow at times of peak demand in morning and evening. A load shifting schedule for system was formulated. The result show that the pump scheduling established in non-peak periods based on model predictive control can reduce the cost of electricity …
Numerical Simulation And Experimental Study Of Three-Dimensional Flow Field On Roots-Type Power Machine Based On Dynamic Mesh Technique,
2020
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China;
Numerical Simulation And Experimental Study Of Three-Dimensional Flow Field On Roots-Type Power Machine Based On Dynamic Mesh Technique, Yanjun Xiao, Yuxiang Liu, Dayuan Wang, Feng Hua, Chunxia Li
Journal of System Simulation
Abstract: A new roots-type power machine was recommended. As for it, the working fluid of low pressure waste heat according was simulated to both the different operating conditions and the different intake and exhaust pressure and flow, and the changing process of internal flow field over time period using dynamic mesh technique was simulated when the power machine was in rotating work. The pressure field, velocity field and mass flow rate with the simulation results were analyzed, thus reaching the optimum operating conditions and the key parameters of the roots-type power machine. A test platform and conducted field tests was …
Ontology Based Devs Modeling Method,
2020
Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China;
Ontology Based Devs Modeling Method, Rong Gang, Xiao Jun, Yunping Hu, Yiping Feng
Journal of System Simulation
Abstract: In the field of modeling and simulation, it’s difficult to reuse the models because the models and simulation system are coupled seriously. The Ontology-driven modeling theory is a simulation modeling methodology for model reuse. A new DEVS modeling method was proposed based on this theory. The DEVS modeling ontology DEVSMO was built and the DEVS model could be described as the instance of the DEVSMO. This form of DEVS model was independent of the DEVS simulation environment, which improved the model reusability. A tool was developed to translate the DEVSMO instance to DEVS executable models to verify the …
Simulation Research On Impact Of Consumer Bounded Rationality On Optimal Pricing Strategy In Supply Chain,
2020
1. School of Business Administration, South China University of Technology, Guangzhou 510640, China; ;
Simulation Research On Impact Of Consumer Bounded Rationality On Optimal Pricing Strategy In Supply Chain, Li Feng, Wei Ying
Journal of System Simulation
Abstract: Noticing increasing market responses to online sales channel, the impact of bounded rationality of consumer on pricing strategy was studied in a dual-channel supply chain system, which consists of one manufacturer and one retailer. A multiple-agent based modeling and simulation approach was proposed and employed. In a Stackelberg game setting with the manufacturer the leader, optimal pricing decisions were calculated from the simulation model. Impacts of consumer behavior parameters on channel prices and sales revenue were analyzed, i.e., degree of consumer bounded rationality, consumer’s acceptance of online channel, as well as consumer’s valuation distribution to the product. Results …
Modeling And Scheduling Of Reentrant Automatic Assembly Equipment Based On Cpn Tools,
2020
1. School of Automation Science and Control Engineering, South China University of Technology, Guangzhou 510640, China; ;2. Engineering Research Centre for Precision Electronic Manufacturing Equipment of Ministry of Education,South China University of Technology, Guangzhou 510640, China;
Modeling And Scheduling Of Reentrant Automatic Assembly Equipment Based On Cpn Tools, Zhang Mei, Guangsen Chen, You Jia
Journal of System Simulation
Abstract: The idea about treating automatic immunoassay detection equipment as a reentrant dual-armed automatic assembly equipment was brought forward. Using timed colored Petri nets (TCPN) to model the equipment according to its detection, the performance of model and simulation experiment were evaluated. To optimize the detection process, DPC dynamic feeding strategy and LSPON, FIFO scheduling strategy were designed. Based on that, a hybrid control strategy was proposed to schedule the model more efficiently. Batch-detecting projects of different scale examples were scheduled on the platform of CPN tools according to the strategies above. The simulation results illustrate the reasonability and feasibility …
Improved Quantum-Behaved Particle Swarm Optimization For Solving Multi-Objective Flexible Job-Shop Scheduling Problems,
2020
1. Institute of Educational Informatization, Jiangnan University, Wuxi 214122, China; ;2. Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Improved Quantum-Behaved Particle Swarm Optimization For Solving Multi-Objective Flexible Job-Shop Scheduling Problems, Tian Na, Zhicheng Ji
Journal of System Simulation
Abstract: Due to the complexity of flexible job-shop scheduling problem (FJSP), it is still the hot topic for research. FJSP was given deep insight into with three objectives to be minimized simultaneously: makespan, maximal machine workload and total workload. Quantum-behaved particle swarm optimization (QPSO) with different coefficient selection methods was compared. The benchmark function tests show that QPSO with adaptive coefficient outperforms other selection methods in unimodal functions, while QPSO with cosine coefficient performs better in multi-modal functions. Therefore, QPSO with cosine decreasing coefficient is adopted to solve the multi-objective FJSP, which is a complex multi-modal optimization problem. Simulation results …
Study Of Adaptive Dynamic Search Pso Based Svm Parameter Optimization,
2020
Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Study Of Adaptive Dynamic Search Pso Based Svm Parameter Optimization, Chunneng Gao, Zhang Biao, Zhicheng Ji
Journal of System Simulation
Abstract: According to critical control points (CCPs) selection problem in wheat processing HACCP (hazard analysis and critical control point), an automatic identification method based on SVM model was introduced. In order to improve the model’s recognition stability and accuracy, an adaptive dynamic search particle swarm optimization (ADS-PSO) for the optimization of kernel function parameters in SVM was proposed. ADS-PSO introduced an evolutionary factor and threshold (ET) to estimate the evolutionary state and adjusted the search strategy adaptively. Besides, an inertia parameter for the velocity was defined in ADS-PSO. The simulation results show that the improved SVM model can identify …
Three-Dimensional Relief Generation On Freedom Surface Based On Monocular Image,
2020
Department of Information Technology of Beijing Normal University, Beijing 100875, China;
Three-Dimensional Relief Generation On Freedom Surface Based On Monocular Image, Meng Yue, Mingquan Zhou, Wuyang Shui, Zhongke Wu
Journal of System Simulation
Abstract: For better protection of relief relics which was apt to be corroded and destroyed, the three-dimensional reconstruction technology was utilized to reconstruct 3D model from monocular image. Namely, the SFS (Shape From Shading) method estimated metric depth of relief model according to monocular image, and then restored it using filter transformation and model superposition. For most relief, their carrier surface was irregular curved surface, so estimated metric depth should be map to curved surface. The carrier model was put into Riemannian geometry space, parameterizing local region which position and size was assigned using exponential map. Corresponding vertex coordinate …
Pipeline Design And Simulation Optimization Of Hydraulic Driving System For Rape Windrower,
2020
College of Engineering, Huazhong Agricultural University, Wuhan 430070, China;
Pipeline Design And Simulation Optimization Of Hydraulic Driving System For Rape Windrower, Caixia Shu, Yan Lei, Li Lei, Cairui Han, Yajun Jiang, Youchun Ding, Qingxi Liao
Journal of System Simulation
Abstract: Based on disadvantages with large pipeline size and tube loss about the existing hydraulic driving system of rape windrower, according to the pipelines of hydraulic drive system for rape windrower, the relationship between the tube loss and pipeline structure parameters was analyzed and determined. Combined with the effect of tube losses, minimum bend radius and cost, the comprehensive scoring method was used to optimize the pipe diameter of the header, horizontal and vertical conveyor assembly operating branches. Consistency was.determined between the simulation of the tube loss by FLUENT module of the ANSYS and the result obtained by fuzzy evaluation …
Simulative Study Of Machining Mechanism Of Material In Micro-Edm,
2020
1. Department of Computer Engineering, Dongguan Polytechnic, Dongguan 523808, China; ;2. DG-HUST Manufacturing Engineering Institute, Dongguan 523808, China; ;
Simulative Study Of Machining Mechanism Of Material In Micro-Edm, Wang Shi, Jianwen Guo, Wuxue Jiang, Wenliang Cao
Journal of System Simulation
Abstract: Great complexity and randomness exist in micro-electrical discharge machining (micro-EDM) process. Considering the limitations of molecular dynamics model and numerical model based on heat transfer theories in studies on machining mechanism of micro-EDM, a hybrid modeling method in which the two-temperature model and molecular dynamics simulation model were integrated was used to construct the machining model for the anode in micro-EDM process, and the corresponding parallel simulation platform was built based on MPI technology. In this simulation model, a heat source was placed in the electron system to mimic the thermal action of the discharge channel on the anode …
Improved Apit Localization Algorithm Based On Wireless Sensor Network,
2020
Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Improved Apit Localization Algorithm Based On Wireless Sensor Network, Wu Dong, Zhicheng Ji, Zhang Biao
Journal of System Simulation
Abstract: To address the problems of Approximate Point-In-Triangulation Test (APIT) algorithm in Wireless Sensor Network requiring high anchor node density, Out-To-In or In-To-Out error judgment, nodes failure and so on, an improved APIT localization algorithm based on Wireless Sensor Network was proposed. The method based on directional searched node and combined with RSSI ranging calculation by Gaussian fitting method was used to deal with error judgment. Besides, a geometrical method was used to process the failure nodes. The simulation results show that the improved localization algorithm performs greatly better, both in positioning accuracy and number of error judgment, than the …
Three-Dimensional Virtual Reassembling For Broken Artifact Fragments Based On Leap Motion,
2020
1. College of Information Science and Technology, Beijing Normal University, Beijing 100875, China; ;
Three-Dimensional Virtual Reassembling For Broken Artifact Fragments Based On Leap Motion, Haoran Lu, Zhang Yu, Miaomiao Niu, Wuyang Shui, Mingquan Zhou
Journal of System Simulation
Abstract: 3D laser scanning technique has been widely used to acquire geometry information of artifacts. The broken relics can be virtually restored with the help of computer technologies. Aiming at solving the problems of the automatic virtual restoration for broken artifact fragments, a new method of semi-automatic reassembly was proposed. The motions of the user’s hands were simulated by using the data captured by Leap Motion. The movement of each fragment model was controlled interactively so that two fragments could be roughly matched. The matching results were fed back to the user in real-time, and the user could optimize …
Signal Denoising Method Based On Atom Curve Fitting Improved Dictionary Learning,
2020
National Key Lab of Radar Signal Processing, Xidian Univ. , Xi’an 710071, China;
Signal Denoising Method Based On Atom Curve Fitting Improved Dictionary Learning, Gao Bo, Wang Jun, Gege Zhang
Journal of System Simulation
Abstract: In signal denoising problems, using K-SVD and other classic dictionary learning algorithm can not effectively eliminate the noise impact. The method made some amendments for classical dictionary learning by applying nonlinear least squares curve fitting and particle swarm optimization. K-SVD algorithm was used to train the dictionary. Nonlinear least-squares approach was used to fit every atom in the dictionary. Particle swarm optimization method was used to solve the sparse representation of the signal. The reconstructed signal was obtained. The experimental results show that, the denoising effects of the proposed method apparently has increased compared with K-SVD and RLS-DLA.
Optimization Model Of Cis Network Architecture Based On Information Flow,
2020
School of Information and Navigation Air Force Engineering University, Xi’an 710077, China;
Optimization Model Of Cis Network Architecture Based On Information Flow, Jianhua Li, Junwei Zhao
Journal of System Simulation
Abstract: In order to explore the internal relationship between Command Information System (CIS) network and combat system, a layered combat system model was built, including organizational relationship layer, information interaction layer and communication link layer. Conception of the system coupling intensity was defined, which reflected the influence of network architecture to combat system. An optimization model of CIS network architecture aimed at maximizing the ratio of system coupling intensity to cost coefficient was built. A route programming genetic algorithm was designed and applied into simulation of Air Offensive Campaign (AOC) system network. The results show that the model and algorithm …
Building Arc-Sprial Search Models Of Dipping Sonar Based On Transcendental Target Moving Course,
2020
Department of Teaching and Studying, Naval Flying Academy, Huludao 125001, China;
Building Arc-Sprial Search Models Of Dipping Sonar Based On Transcendental Target Moving Course, Wu Min
Journal of System Simulation
Abstract: Based on the known probable moving course of submarine targets, and the actual searching process of anti-submarine airplane, to search the target in the finite domain, the wind factor to affect searching process was analyzed. The arc-spiral searching model of dipping sonar and submarine moving models were built. In the factor of given ocean environments, the experimental results simulated and analyzed the arc-spiral searching course of dipping sonar. The experimentation compared and analyzed the influence of searching probabilities on curve searching, sector searching, and arc-spiral searching manners. The experimental results indicate that the searching probability of arc-spiral searching …
Simulation Study On Scheduling Strategy Of Dynamic Vehicle Routing Problem,
2020
1. Institute of Software, Dalian Jiaotong University, Dalian 116045, China; ;2. School of Management, Dalian University of Technology, Dalian 116026, China;
Simulation Study On Scheduling Strategy Of Dynamic Vehicle Routing Problem, Ning Tao, Guo Chen, Chen Rong, Jin Hua
Journal of System Simulation
Abstract: For the purpose of solving the rescheduling of dynamic vehicle routing problem, the simulation model was established to minimize the cost and optimize the stability. The method of double chains structure coding was proposed. An improved hybrid multi-phases quantum particle swarm algorithm was proposed. An AHP (Analytic hierarchy process strategy) was introduced to obtain the optimal strategy from the Pareto solution. A novel method was applied to a dynamic simulation and the result of comparing with other classical algorithms verifies its effectiveness.
Autonomous Flight Control And Simulation Study Of Independent Developed Soft-Wing Uav,
2020
1. Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang 110015, China; ;
Autonomous Flight Control And Simulation Study Of Independent Developed Soft-Wing Uav, Juntong Qi, Jinda Liu, Shang Hong, Liying Yang, Mei Sen, Jianda Han
Journal of System Simulation
Abstract: Soft-wing UAV is composed of ram air parafoil hanging powered vehicle with ropes. The special structure of soft-wing UAV makes it possess apparent mass, flexible structure and relative motions, which are the difficulties of modeling and controlling of soft-wing UAV. Autonomous flight controller design method based on mathematical model can low-costly and high-efficiently achieve control algorithms for UAV. Based on the physical parameters of the self-designed soft-wing UAV, a 6 DOF mathematical model was built. A flight controller and visual simulation system was designed. By using the trajectory points simulation, the numerical and visual simulation was synchronously realized which …
Optimized Composite Input Shaping Based On Residual Oscillation Suppressing,
2020
Research Institute of Mechanical Engineering; Southwest Jiaotong University, Chengdu 610031, China;
Optimized Composite Input Shaping Based On Residual Oscillation Suppressing, Huasen Liu, Wenming Cheng
Journal of System Simulation
Abstract: The optimized input shaping control method was proposed to reduce the under actuated overhead crane’s oscillation caused via the inertia force. The dynamic model of the overhead crane was proposed according to the physics structure of the crane. The probability distribution function of the crane’s swing frequency was obtained. The optimized multi-model composite based on the probability distribution function of the crane’s swing frequency was used as the feed-forward input to increase the frequency of robustness. Simulation results indicate that the optimized multi-model composite input shaping can reduce the oscillation the overhead crane.
Modeling And Quaternion Control Of X-Type Quadrotor,
2020
1. Hubei Inland Shipping Technology Key Laboratory, Wuhan 430063, China; ;2. Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, School of Information Engineering,Wuhan University of Technology, Wuhan 430070, China;
Modeling And Quaternion Control Of X-Type Quadrotor, Shaobin Ding, Changshi Xiao, Jingen Liu, Yuanqiao Wen
Journal of System Simulation
Abstract: A comprehensive dynamic model of X-type quadrotor was established and simulated. Different from other widely used models that usually treated quadrotor as a single-rigid-body system, the rotors, propellers and the aircraft body were treated as a multi-rigid-body system in the proposed model. The 3D model wireframe was constructed using Solidworks and the important inertial parameters were extracted from the design data. Two types of multi-channel-double-loop vector PD flight controller were designed and fine tuned, one was based on quaternion feedback and the other was based on Euler angle feedback. The close-loop systems were simulated on Matlab/Simulink. The simulation results …
Research On Bifurcation Of A Class Of Cortical Eeg Model With Time Delay,
2020
1. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China; ;
Research On Bifurcation Of A Class Of Cortical Eeg Model With Time Delay, Chunsheng Li, Zhang Xue
Journal of System Simulation
Abstract: The bifurcation characters of a cortical-model with bidirectional time delays were studied, proposed by Robinson, et al. before. Considering transmitting delay between excitatory and inhibitory populations, the stability, bifurcation characters and bifurcation region were achieved. The relationship of cortical potential spectrum density and transmit delay was analyzed when white noise was introduced. Result shows that time delay between different population acts as an important role of model’s dynamic characters and stability, and numerical simulation verifies the theoretical analysis. This research shows the importance of transmit delay in cortical-model, and provides theoretical illustration for further research of epileptic …
