16163

14428

كارشناسي ارشد

ميدان و موج

اصفهان : دانشگاه صنعتي اصفهان

1399

چهارده، 82 ص.: مصور، جدول، نمودار

ذاكر حسين فيروزه

ابولقاسم زيدآبادي نژاد

محسن مداح ، علي احمد بخت افروز

1399/10/08

كتابنامه

مخابرات

مهندسي برق و كامپيوتر

1399/10/08

2659122

Analysis of an EMC Problem using Macromodeling Mohsen Raeisi mohsen raisi@ec iut ac ir September 8 2020 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Assoc Prof Zaker Hossein Firouzeh zhfirouzeh@cc iut ac ir Abstract The widespread use of electronic circuits for communication computation automation and other purposes makesit necessary for diverse circuits to operate in close proximity to each other All too often these circuits affect each otheradversely Electromagnetic interference EMI has become a major problem for circuit designers The large number of elec tronic devices in common use is partly responsible for this trend In addition the use of integrated circuits and largescaleintegration has reduced the size of electronic equipment As circuitry has become smaller and more sophisticated morecircuits are being crowded into less space which increases the probability of interference Electromagnetic compatibil ity EMC then is the absence of effects due to EMI Numerical modeling and simulation is essential for understandingthe behavior of structures and systems in practically every branch of science and engineering Unfortunately the enor mous complexity of physical systems often prevents direct approaches where the whole system is characterized using first principle models typically systems of partial differential equations PDEs and then simulated on a suitable computer Divide and conquer techniques have been demonstrated as excellent alternatives to reduce this complexity and to performefficient numerical simulations with reasonable runtimes The overall system is first partitioned into well defined substruc tures e g connectors via fields coupled interconnect segments which are characterized separately through approximatereduced complexity behavioral models so called macromodels Macromodels can be identified from terminal responseseither in time or frequency domain leading to compact state space representations of the broadband dynamics of the struc ture Neural network computational modules have recently gained recognition as an unconventional and useful tool for RFand microwave modeling and design Neural networks can be trained to learn the behavior of passive active components circuits A trained neural network can be used for high level design providing fast and accurate answers to the task it haslearned Neural networks are attractive alternatives to conventional methods such as numerical modeling methods whichcould be computationally expensive or analytical methods which could be difficult to obtain for new devices or empiricalmodeling solutions whose range and accuracy may be limited Key Words Electromagnetic Compatibility EMC Macromodeling Artificial Neural Networks ANN

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محسن مداح ، علي احمد بخت افروز