Neural Based Lumped Element Model of Capacitive RF MEMS Switches

Frequenz ◽  
2018 ◽  
Vol 72 (11-12) ◽  
pp. 539-546 ◽  
Author(s):  
Tomislav Ćirić ◽  
Rohan Dhuri ◽  
Zlatica Marinković ◽  
Olivera Pronić-Rančić ◽  
Vera Marković ◽  
...  
Keyword(s):  
Neural Networks ◽  
Good Accuracy ◽  
Rf Mems ◽  
Element Model ◽  
Capacitive Switches ◽  
Mems Switches ◽  
Lumped Element ◽  
Rf Mems Switches ◽  
Lumped Element Model ◽  
The Relationship

Abstract In this paper a lumped element model of RF MEMS capacitive switches which is scalable with the lateral dimensions of the bridge is proposed. The dependence of the elements of the model on the bridge dimensions is introduced by using one or more artificial neural networks to model the relationship between the bridge dimensions and the inductive and resistive elements of the lumped element model. The achieved results show that the developed models have a good accuracy over the whole considered range of the bridge dimension values.

scholarly journals Hybrid neural lumped element approach in inverse modeling of RF MEMS switches

2020 ◽  
Vol 33 (1) ◽  
pp. 27-36
Author(s):  
Tomislav Ciric ◽  
Zlatica Marinkovic ◽  
Rohan Dhuri ◽  
Olivera Pronic-Rancic ◽  
Vera Markovic
Keyword(s):  
Resonant Frequency ◽  
Inverse Modeling ◽  
Communication Systems ◽  
Rf Mems ◽  
Element Model ◽  
Mems Switches ◽  
Lumped Element ◽  
Rf Mems Switches ◽  
Element Approach ◽  
Lumped Element Model

RF MEMS switches have been efficiently exploited in various applications in communication systems. As the dimensions of the switch bridge influence the switch behaviour, during the design of a switch it is necessary to perform inverse modeling, i.e. to determine the bridge dimensions to ensure the desired switch characteristics, such as the resonant frequency. In this paper a novel inverse modeling approach based on combination of artificial neural networks and a lumped element circuit model has been considered. This approach allows determination of the bridge fingered part length for the given resonant frequency and the bridge solid part length, generating at the same time values of the elements of the switch lumped element model. Validity of the model is demonstrated by appropriate numerical examples.

Experimental Investigation of Dynamic Response of RF-MEMS Switches

2004 ◽  
Author(s):  
O. Burak Ozdoganlar ◽  
David S. Epp ◽  
Christopher W. Dyck
Keyword(s):  
Microelectromechanical Systems ◽  
Rf Mems ◽  
Electrical Contacts ◽  
Mode Shapes ◽  
Main Function ◽  
Capacitive Switches ◽  
Mems Switches ◽  
Damping Characteristics ◽  
Rf Mems Switches ◽  
Opening And Closing

Ohmic and capacitive switches constitute an important segment of radio frequency microelectromechanical systems (RF-MEMS) components. The main function of these switches is to provide very rapid opening and closing of electrical contacts. To fulfill this requirement, the structural dynamics and coupled-physics response of candidate switch designs must be thoroughly understood. This paper presents a set of dynamic experimentation of two RF-MEMS ohmic switches with different geometries to determine their natural frequencies, mode shapes, and damping characteristics at pressures spanning from vacuum to atmospheric. The experimental facility used for the tests is also described in detail.

Target Application Based Design Approach for RF MEMS Switches using Artificial Neural Networks

2022 ◽  
Author(s):  
Lakshmi Narayana Thalluri ◽  
Samuyelu Bommu ◽  
Sathuluri Mallikharjuna Rao ◽  
K. Srinivasa Rao ◽  
Koushik Guha ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Rf Mems ◽  
Design Approach ◽  
Mems Switches ◽  
Rf Mems Switches ◽  
Artificial Neural

scholarly journals Artifical neural networks in RF MEMS switch modelling

2016 ◽  
Vol 29 (2) ◽  
pp. 177-191 ◽  
Author(s):  
Zlatica Marinkovic ◽  
Vera Markovic ◽  
Tomislav Ciric ◽  
Larissa Vietzorreck ◽  
Olivera Pronic-Rancic
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Communication Systems ◽  
Rf Mems ◽  
Mems Switches ◽  
Mems Switch ◽  
Artifical Neural Networks ◽  
Rf Mems Switches ◽  
Artificial Neural ◽  
Similar Accuracy

The increased growth of the applications of RF MEMS switches in modern communication systems has created an increased need for their accurate and efficient models. Artificial neural networks have appeared as a fast and efficient modelling tool providing similar accuracy as standard commercial simulation packages. This paper gives an overview of the applications of artificial neural networks in modelling of RF MEMS switches, in particular of the capacitive shunt switches, proposed by the authors of the paper. Models for the most important switch characteristics in electrical and mechanical domains are considered, as well as the inverse models aimed to determine the switch bridge dimensions for specified requirements for the switch characteristics.

Reliability and Failure Analysis of RF MEMS Switches

2002 ◽  
Author(s):  
Ingrid De Wolf ◽  
Anne Jourdain ◽  
Ann Witvrouw ◽  
Paolo Fiorini ◽  
Harrie A. C. Tilmans ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Rf Mems ◽  
Optical Investigation ◽  
Capacitive Switches ◽  
Mems Switches ◽  
Rf Mems Switches ◽  
Lifetime Testing

Abstract In this paper we discuss reliability and failure analysis issues of RF-MEMS capacitive switches. We describe specific instrumentation and methods that can be used for testing and examination of these switches. These include SEM, AFM, SAM, static and dynamic optical investigation and electrical lifetime testing. Processing as well as testing and packaging issues are discussed.

Lumped element modelling of coplanar series RF MEMS switches

2004 ◽  
Vol 40 (20) ◽  
pp. 1272 ◽  
Author(s):  
R. Marcelli ◽  
G. Bartolucci ◽  
G. Minucci ◽  
B. Margesin ◽  
F. Giacomozzi ◽  
...  
Keyword(s):  
Rf Mems ◽  
Element Modelling ◽  
Mems Switches ◽  
Lumped Element ◽  
Rf Mems Switches

scholarly journals A computationally efficient hybrid 2D–3D subwoofer model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ahmad H. Bokhari ◽  
Martin Berggren ◽  
Daniel Noreland ◽  
Eddie Wadbro
Keyword(s):  
Hybrid Model ◽  
3D Model ◽  
Element Model ◽  
Acoustic Properties ◽  
Computational Time ◽  
Average Response ◽  
Frequency Range ◽  
Computationally Efficient ◽  
Lumped Element ◽  
Lumped Element Model

AbstractA subwoofer generates the lowest frequency range in loudspeaker systems. Subwoofers are used in audio systems for live concerts, movie theatres, home theatres, gaming consoles, cars, etc. During the last decades, numerical simulations have emerged as a cost- and time-efficient complement to traditional experiments in the design process of different products. The aim of this study is to reduce the computational time of simulating the average response for a given subwoofer design. To this end, we propose a hybrid 2D–3D model that reduces the computational time significantly compared to a full 3D model. The hybrid model describes the interaction between different subwoofer components as interacting modules whose acoustic properties can partly be pre-computed. This allows us to efficiently compute the performance of different subwoofer design layouts. The results of the hybrid model are validated against both a lumped element model and a full 3D model over a frequency band of interest. The hybrid model is found to be both accurate and computationally efficient.

scholarly journals A general theory of glacier surges

2019 ◽  
Vol 65 (253) ◽  
pp. 701-716 ◽  
Author(s):  
D. I. Benn ◽  
A. C. Fowler ◽  
I. Hewitt ◽  
H. Sevestre
Keyword(s):  
General Theory ◽  
Frictional Heating ◽  
Element Model ◽  
Geothermal Heating ◽  
Lumped Element ◽  
Systems Model ◽  
Flow Speeds ◽  
Glacier Surges ◽  
Lumped Element Model ◽  
Polythermal Glacier

AbstractWe present the first general theory of glacier surging that includes both temperate and polythermal glacier surges, based on coupled mass and enthalpy budgets. Enthalpy (in the form of thermal energy and water) is gained at the glacier bed from geothermal heating plus frictional heating (expenditure of potential energy) as a consequence of ice flow. Enthalpy losses occur by conduction and loss of meltwater from the system. Because enthalpy directly impacts flow speeds, mass and enthalpy budgets must simultaneously balance if a glacier is to maintain a steady flow. If not, glaciers undergo out-of-phase mass and enthalpy cycles, manifest as quiescent and surge phases. We illustrate the theory using a lumped element model, which parameterizes key thermodynamic and hydrological processes, including surface-to-bed drainage and distributed and channelized drainage systems. Model output exhibits many of the observed characteristics of polythermal and temperate glacier surges, including the association of surging behaviour with particular combinations of climate (precipitation, temperature), geometry (length, slope) and bed properties (hydraulic conductivity). Enthalpy balance theory explains a broad spectrum of observed surging behaviour in a single framework, and offers an answer to the wider question of why the majority of glaciers do not surge.

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