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Broadband lumped-element parameter extraction method of two-port 3D MEMS in-chip solenoid inductors based on a physics-based equivalent circuit model
- Source :
- Multidisciplinary Digital Publishing Institute
- Publication Year :
- 2020
-
Abstract
- Integrated 2D spiral inductors possess low inductance per unit area, which limits their application range. However, the state of investigation into the lumped-element parameter extraction method for integrated 3D in-chip multi-turn solenoid inductors, which possess higher inductance per unit area, is inadequate. This type of inductor can thus not be incorporated into fast computer-aided design (CAD)-assisted circuit design. In this study, we propose a broadband two-port physics-based equivalent circuit model for 3D microelectromechanical system (MEMS) in-chip solenoid inductors that are embedded in silicon substrates. The circuit model was composed of lumped elements with specific physical meanings and incorporated complicated parasitics resulting from eddy currents, skin effects, and proximity effects. Based on this model, we presented a lumped-element parameter extraction method using the electronic design automation software package, Agilent Advanced Design System (ADS). This method proved to be consistent with the results of two-port testing at low to self-resonant frequencies and could thus be used in CAD-assisted circuit design. The lumped element value variations were analyzed based on the physical meaning of the elements with respect to variations in structures and the substrate resistivity of inductors. This provided a novel perspective in terms of the design of integrated in-chip solenoid inductors.<br />National Natural Science Foundation of China (Grant 51906008 and 51822602)<br />High-Speed Moving Component Dynamic Tester (grant 2017YFF0107601 and 2017YFF0107604)
Details
- Database :
- OAIster
- Journal :
- Multidisciplinary Digital Publishing Institute
- Notes :
- application/pdf
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1239995282
- Document Type :
- Electronic Resource