scholarly journals Modeling and analysis of the characteristics of SiC MOSFET

2021 ◽  
Vol 2125 (1) ◽  
pp. 012051
Author(s):  
Guoqing Qiu ◽  
Kedi Jiang ◽  
Shengyou Xu ◽  
Xin Yang ◽  
Wei Wang
Keyword(s):  
Simulation Model ◽  
Circuit Simulation ◽  
Power Conversion ◽  
Simulation Models ◽  
Data Sheet ◽  
Superior Performance ◽  
Power Devices ◽  
Matlab Simulink ◽  
Modeling And Analysis ◽  
Mathematical Processing

Abstract Although the superior performance of SiC MOSFET devices has beenvalidated by many studies, it is necessary to overcome many technical bottlenecks to make SiC MOSFET gradually replace Si-based power devices into the mainstream. In view of the current situation where the performance of SiC MOSFETs in power conversion devices cannot be evaluated well at this stage, it is necessary to carry out fine modeling of SiC MOSFETs and establish accurate simulation models. In this paper, the powerful mathematical processing capability and rich modules of Matlab/Simulink are used to build a SiC MOSFET model, and then the product data sheet is compared with the fitted data. The results show that the switching simulation waveforms are in general agreement with the data sheet waveforms, and the error is less than 7%. Verifing the accuracy of the model and reducing the difficulty of modeling, it provides a new idea for establishing the circuit simulation model of SiC MOSFET in Matlab/Simulink.

scholarly journals Modeling and Analysis of Autonomous Agents’ Decisions in Learning to Cross a Cellular Automaton-Based Highway

Computation ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 53 ◽  
Author(s):  
Shengkun Xie ◽  
Anna T. Lawniczak ◽  
Chong Gan
Keyword(s):  
Simulation Model ◽  
Cellular Automaton ◽  
Knowledge Base ◽  
Autonomous Agents ◽  
Regression Tree ◽  
Simulation Models ◽  
Traffic Density ◽  
Cognitive Agents ◽  
Modeling And Analysis ◽  
Traffic Environment

For a better understanding of the nature of complex systems modeling, computer simulations and the analysis of the resulting data are major tools which can be applied. In this paper, we study a statistical modeling problem of data coming from a simulation model that investigates the correctness of autonomous agents’ decisions in learning to cross a cellular automaton-based highway. The goal is a better understanding of cognitive agents’ performance in learning to cross a cellular automaton-based highway with different traffic density. We investigate the effects of parameters’ values of the simulation model (e.g., knowledge base transfer, car creation probability, agents’ fear and desire to cross the highway) and their interactions on cognitive agents’ decisions (i.e., correct crossing decisions, incorrect crossing decisions, correct waiting decisions, and incorrect waiting decisions). We firstly utilize canonical correlation analysis (CCA) to see if all the considered parameters’ values and decision types are significantly statistically correlated, so that no considered dependent variables or independent variables (i.e., decision types and configuration parameters, respectively) can be omitted from the simulation model in potential future studies. After CCA, we then use the regression tree method to explore the effects of model configuration parameters’ values on the agents’ decisions. In particular, we focus on the discussion of the effects of the knowledge base transfer, which is a key factor in the investigation on how accumulated knowledge/information about the agents’ performance in one traffic environment affects the agents’ learning outcomes in another traffic environment. This factor affects the cognitive agents’ decision-making abilities in a major way in a new traffic environment where the cognitive agents start learning from existing accumulated knowledge/information about their performance in an environment with different traffic density. The obtained results provide us with a better understanding of how cognitive agents learn to cross the highway, i.e., how the knowledge base transfer as a factor affects the experimental outcomes. Furthermore, the proposed methodology can become useful in modeling and analyzing data coming from other computer simulation models and can provide an approach for better understanding a factor or treatment effect.

A Circuit Simulator Applicable to Fault Simulation

2011 ◽  
Vol 58-60 ◽  
pp. 1287-1293
Author(s):  
Guang Yan Zhao ◽  
Yu Feng Sun ◽  
Qing Tang
Keyword(s):  
Simulation Model ◽  
Simulation Analysis ◽  
Circuit Simulation ◽  
Fault Simulation ◽  
Simulation Models ◽  
Fault Models ◽  
Logical Variable ◽  
Simulation Tools ◽  
Circuit Simulator ◽  
Basic Functions

In view of the demand of circuit fault simulation analysis, a novel circuit simulator for fault simulation was designed to overcome the shortcomings of traditional circuit simulation tools in fault simulation. The principles and method of this simulator were proposed, which focus on the realization of the basic functions and weakens detail characteristics. Based on the method, the components simulation models and fault models with the combination of the numerical variable with logical variable were built. Moreover, the implementation algorithm and simulation flow were introduced to show how to simulate a circuit based on this simulation model. At last, an example was simulated to verify the feasibility of this method. It is shown that, this circuit simulator will become a valuable tool for the circuit fault simulation and analysis.

scholarly journals Simulation Model of an Asynchronous Machine with Wound Rotor in Matlab Simulink

2021 ◽  
Vol 288 ◽  
pp. 01110
Author(s):  
Igor Doroshchenko ◽  
Vladimir Zakharenko ◽  
Mikhail Pohulayev ◽  
Nailya Miftakhova
Keyword(s):  
Simulation Model ◽  
Asynchronous Motor ◽  
Experimental Studies ◽  
Matlab Simulink ◽  
Asynchronous Machine ◽  
Modeling And Analysis ◽  
Proposed Model ◽  
Three Phase ◽  
Dynamic Operating ◽  
Derivatives Of

The article presents a three-phase mathematical model of asynchronous machine with wound rotor based on differential equations. The equations are resolved with respect to the derivatives of flux linkages. The description of the computer program in the Matlab Simulink that implements the model and allows to simulate transients of the asynchronous motor is present. A simulation model of a three-phase asynchronous machine with wound rotor, which allows to investigate static and dynamic operating ranges when power converters are connected to the rotor circuit has been obtained. The results of approbation of the obtained simulation model in the Matlab Simulink environment and experimental research of asynchronous engine with wound rotor, driving into the asynchronous-valve cascade, are presented. The results of experimental studies of the asynchronous machine under sinusoidal voltage using a stand based on the asynchronous-valve cascade, and comparison of the oscillograms obtained with simulation results of the proposed model are presented. The comparison of experimental and calculated oscillograms of the current of the investigated asynchronous motor can be concluded on satisfactory accuracy of the proposed model and the possibility of its application for modeling and analysis of asynchronous electric drives.

The Extraction of Fault Feature Vector in Inverter Open Base on Matlab/Simulink

2013 ◽  
Vol 846-847 ◽  
pp. 706-709
Author(s):  
Zhan She Yang ◽  
Xian Min Ma
Keyword(s):  
Fault Diagnosis ◽  
Simulation Model ◽  
Feature Vector ◽  
Circuit Simulation ◽  
Open Circuit ◽  
Intelligent Fault Diagnosis ◽  
Mathematical Basis ◽  
Matlab Simulink ◽  
Three Phase ◽  
Bridge Rectifier

Fault is classified when the thyristor open in three phase bridge rectifier circuit in this paper,Circuit simulation model is established based on Matlab/Simulink,and for a variety of open circuit fault is simulinked,extracted all kinds of fault feature vector, provided the theory of mathematical basis for intelligent fault diagnosis.

scholarly journals THE MODEL OF BRUSHLESS DC MOTOR DRIVE / IMITACINIS ELEKTRONIŠKAI KOMUTUOJAMOS NUOLATINĖS SROVĖS PAVAROS MODELI

2013 ◽  
Vol 5 (2) ◽  
pp. 164-168
Author(s):  
Aurelijus Pitrėnas
Keyword(s):  
Simulation Model ◽  
Simulation Models ◽  
Bldc Motor ◽  
Matlab Simulink ◽  
Brushless Dc ◽  
Hall Effect Sensor ◽  
Research Article ◽  
Sensor Signals ◽  
Operation Control ◽  
Control Study

The research considered the operation, control, mathematical and simulation models of BLDC motor. A simplified idealized simulation model was designed and tested using Matlab Simulink software package. The simulation model uses Hall effect sensor signals for determining the rotor position. Simulation was done for Maxon, EC-4 pole 22 BL A series motor. The obtained model testing results deviate from the data supplied by the motor manufacturer by as little as 0.2–10.6%; consequently, the implemented model is suitable for BLDC motor control study and research. Article in Lithuanian. Santrauka Straipsnyje analizuojamas elektroniškai komutuojamų nuolatinės srovės variklių veikimas ir valdymas, išnagrinėtas nuolatinės srovės pavaros matematinis modelis. Matlab Simulink terpėje sukurtas ir ištirtas elektroniškai komutuojamos pavaros imitacinis modelis. Naudojant sudarytą imitacinį modelį gautos pereinamųjų vyksmų kreivės yra idealizuotos, tačiau gaunamos jų parametrų vertės yra artimos gamintojo pateiktiems kataloginiams duomenims. Modelis pasižymi didele greitaveika, t. y. laikas, per kurį įvykdoma imitacija, yra trumpas.

scholarly journals Simulation modeling and analysis of primary health center operations

SIMULATION ◽  
2021 ◽  
pp. 003754972110309
Author(s):  
Mohd Shoaib ◽  
Varun Ramamohan
Keyword(s):  
Resource Utilization ◽  
Waiting Times ◽  
Discrete Event ◽  
Simulation Models ◽  
Modeling And Analysis ◽  
Healthcare Facilities ◽  
Event Simulation ◽  
Analytical Approximations ◽  
Primary Health ◽  
Generic Modeling

We present discrete-event simulation models of the operations of primary health centers (PHCs) in the Indian context. Our PHC simulation models incorporate four types of patients seeking medical care: outpatients, inpatients, childbirth cases, and patients seeking antenatal care. A generic modeling approach was adopted to develop simulation models of PHC operations. This involved developing an archetype PHC simulation, which was then adapted to represent two other PHC configurations, differing in numbers of resources and types of services provided, encountered during PHC visits. A model representing a benchmark configuration conforming to government-mandated operational guidelines, with demand estimated from disease burden data and service times closer to international estimates (higher than observed), was also developed. Simulation outcomes for the three observed configurations indicate negligible patient waiting times and low resource utilization values at observed patient demand estimates. However, simulation outcomes for the benchmark configuration indicated significantly higher resource utilization. Simulation experiments to evaluate the effect of potential changes in operational patterns on reducing the utilization of stressed resources for the benchmark case were performed. Our analysis also motivated the development of simple analytical approximations of the average utilization of a server in a queueing system with characteristics similar to the PHC doctor/patient system. Our study represents the first step in an ongoing effort to establish the computational infrastructure required to analyze public health operations in India and can provide researchers in other settings with hierarchical health systems, a template for the development of simulation models of their primary healthcare facilities.

scholarly journals Guidelines to Calibrate a Multi-Residential Building Simulation Model Addressing Overheating Evaluation and Residents’ Influence

Buildings ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 242
Author(s):  
Christoph Schünemann ◽  
David Schiela ◽  
Regine Ortlepp
Keyword(s):  
Simulation Model ◽  
Time Window ◽  
Residential Building ◽  
Simulation Models ◽  
Building Simulation ◽  
Night Time ◽  
Building Performance Simulation ◽  
Starting Point ◽  
3D Simulation Model ◽  
Building Physics

Can building performance simulation reproduce measured summertime indoor conditions of a multi-residential building in good conformity? This question is answered by calibrating simulated to monitored room temperatures of several rooms of a multi-residential building for an entire summer in two process steps. First, we did a calibration for several days without the residents being present to validate the building physics of the 3D simulation model. Second, the simulations were calibrated for the entire summer period, including the residents’ impact on evolving room temperature and overheating. As a result, a high degree of conformity between simulation and measurement could be achieved for all monitored rooms. The credibility of our results was secured by a detailed sensitivity analysis under varying meteorological conditions, shading situations, and window ventilation or room use in the simulation model. For top floor dwellings, a high overheating intensity was evoked by a combination of insufficient use of night-time window ventilation and non-heat-adapted residential behavior in combination with high solar gains and low heat storage capacities. Finally, the overall findings were merged into a process guideline to describe how a step-by-step calibration of residential building simulation models can be done. This guideline is intended to be a starting point for future discussions about the validity of the simplified boundary conditions which are often used in present-day standard overheating assessment.

Settings, Experimentation and Evaluation of the Simulation Models

2013 ◽  
Vol 309 ◽  
pp. 366-371 ◽  
Author(s):  
František Manlig ◽  
Radek Havlik ◽  
Alena Gottwaldova
Keyword(s):  
Simulation Model ◽  
New Technology ◽  
Simulation Models ◽  
Manufacturing Processes ◽  
Customer Requirements ◽  
Evaluation Functions ◽  
Operational Management ◽  
Minimum Number ◽  
User Friendly ◽  
Setting Parameters

This paper deals with research in computer simulation of manufacturing processes. The paper summarizes the procedures associated with developing the model, experimenting with and evaluating the model results. The key area is of experimentation with the simulation model and evaluation using indicators or multi-criteria functions. With regards to the experiment the crucial variables are the simulation model. The key ideas are to set the number of variables, depending on what a given simulation will be. For example, when introducing new technology into production, modify the type of warehouse, saving workers, thus economizing. The simulation models for the operational management uses simplified models, if possible, a minimum number of variables to obtain the result in shortest possible time. These models are more user friendly and the course will be conducted mostly in the background. An example of a criteria function is the number of parts produced or production time. Multi-criteria function has given us the opportunity to make better quality decisions. It is based on the composition of several parameters, including their weight to one end point. The type of evaluation functions, whether it is an indicator or criteria function is selected and based on customer requirements. In most cases it is recommended to use the multi-dimensional function. It gives us a more comprehensive view of the results from the model and facilitates decision-making. The result of this paper is a display of setting parameters for the experimentation on a sample model. Furthermore, the comparisons of results with a multi-criteria objective function and one-criterion indicator.

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