Behavioral Modeling of Microwave Amplifiers Including Large-signal and Noise Interaction

2006 ◽  
Author(s):  
Cedric Chambon ◽  
Laurent Escotte ◽  
Eric Gonneau
Keyword(s):  
Behavioral Modeling ◽  
Large Signal ◽  
Microwave Amplifiers

Application of Floquet theory to the large signal stability analysis of microwave amplifiers

WAMICON 2013 ◽  
2013 ◽  
Author(s):  
Fabio L. Traversa ◽  
Fabrizio Bonani ◽  
Federica Cappelluti ◽  
Simona Donati Guerrieri ◽  
Giovanni Ghione
Keyword(s):  
Stability Analysis ◽  
Floquet Theory ◽  
Large Signal ◽  
Signal Stability ◽  
Microwave Amplifiers

scholarly journals Behavioral Modeling Paradigm for DC Nanogrid Based Distributed Energy Systems

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7904
Author(s):  
Muhammad Saad ◽  
Yongfeng Ju ◽  
Husan Ali ◽  
Sami Ullah Jan ◽  
Dawar Awan ◽  
...  
Keyword(s):  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Systems ◽  
Behavioral Model ◽  
Operating Conditions ◽  
Behavioral Modeling ◽  
System Level ◽  
Distributed Energy ◽  
New Paradigm ◽  
Large Signal

The remarkable progress of power electronic converters (PEC) technology has led to their increased penetration in distributed energy systems (DES). Particularly, the direct current (dc) nanogrid-based DES embody a variety of sources and loads, connected through a central dc bus. Therefore, PECs are required to be employed as an interface. It would facilitate incorporation of the renewable energy sources and battery storage system into dc nanogrids. However, it is more challenging as the integration of multiple modules may cause instabilities in the overall system dynamics. Future dc nanogrids are envisioned to deploy ready-to-use commercial PEC, for which designers have no insight into their dynamic behavior. Furthermore, the high variability of the operating conditions constitute a new paradigm in dc nanogrids. It exacerbates the dynamic analysis using traditional techniques. Therefore, the current work proposes behavioral modeling to perform system level analysis of a dc nanogrid-based DES. It relies only on the data acquired via measurements performed at the input–output terminals only. To verify the accuracy of the model, large signal disturbances are applied. The matching of results for the switch model and its behavioral model verifies the effectiveness of the proposed model.

scholarly journals Behavioral modeling of nonlinear transfer systems with load-dependent <i>X</i>-parameters

2017 ◽  
Vol 15 ◽  
pp. 37-41
Author(s):  
Seyed Mohammadamin Moosavi ◽  
Christian Widemann ◽  
Wolfgang Mathis
Keyword(s):  
Reflection Coefficient ◽  
Measurement Techniques ◽  
Large Error ◽  
Behavioral Modeling ◽  
Large Signal ◽  
Arbitrary Load ◽  
Nonlinear Transfer ◽  
S Parameters ◽  
Load Pull ◽  
Smith Chart

Abstract. In this contribution, different approaches based on the X-parametersTM to model the behavior of mismatched nonlinear transfer systems are examined. The X-parameters based on the PHD1-principle introduced by Verspecht and Root (2006) as an extension of the well-known S-parameters describe nonlinear microwave 2-port-networks under large signal conditions. Using load-pull measurement techniques they can be used for arbitrary load situations. Beside this load-pull approach, in the work of Cai et al. (2015), it is stated that it is sufficient to use one optimized X-parameter set for each value of the load reflection coefficient without introducing a large error. In another contribution of Cai and Yu (2015), this approach is extended to cover the whole smith chart with one optimized X-parameter set instead. In this work, these different approaches are compared and brought into question. 1 polyharmonic distortion; Verspecht and Root (2006).

Sign in / Sign up

Export Citation Format

Share Document