System-Level Behavioral Model of a 12-Bit 1.5-Bit Per Stage Pipelined ADC Based on Verilog®=-AMS

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.

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Prediction of Conducted Emissions in Satellite Power Buses

International Journal of Aerospace Engineering ◽

10.1155/2015/601426 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 3

Author(s):

Giordano Spadacini ◽

Flavia Grassi ◽

Diego Bellan ◽

Sergio A. Pignari ◽

Filippo Marliani

Keyword(s):

Behavioral Model ◽

Wide Frequency Range ◽

System Level ◽

Power Cables ◽

Power Conditioning ◽

Frequency Spectra ◽

Unit Level ◽

Modeling Methodology ◽

Multiconductor Transmission Line ◽

Conducted Emissions

This work reports a modeling methodology for the prediction of conducted emissions (CE) in a wide frequency range (up to 100 MHz), which are generated by dc/dc converters and propagate along the power buses of satellites. In particular, the dc/dc converter seen as a source of CE is represented by a behavioral model, whose parameters can be identified by two unit-level experimental procedures performed in controlled test setups. A simplified multiconductor transmission-line (MTL) model is developed to account for the propagation of CE in shielded bundles of twisted-wire pairs used as power cables. The whole power system is represented by the interconnection of the circuit models of dc/dc converters, cables, and Power Conditioning and Distribution Unit (PCDU). By solving the obtained network, frequency spectra of CE can be predicted. Experimental results are reported to substantiate the accuracy of the proposed unit-level dc/dc converter model and the MTL model of cables. Finally, a system-level test setup composed of three dc/dc converters connected to a PCDU is considered, and predicted CE are compared versus experimental measurements.

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Analysis simulation and comparison different types of the Sigma Delta ADC modulators based on ideal model system level and behavioral model using MATLAB

2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI) ◽

10.1109/kbei.2017.8324982 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sina Mahdavi ◽

Faeze Noruzpur ◽

Rezvan Ebrahimi ◽

Zahra Alizad

Keyword(s):

Behavioral Model ◽

Model System ◽

System Level ◽

Ideal Model ◽

Sigma Delta ◽

Different Types ◽

Ideal Model System ◽

Sigma Delta Adc

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Behavioral Model Based on SIMULINK for 14-bit 200MS/s Pipelined ADC

2012 International Conference on Control Engineering and Communication Technology ◽

10.1109/iccect.2012.109 ◽

2012 ◽

Cited By ~ 1

Author(s):

Lan Dai ◽

Xudong Liu

Keyword(s):

Behavioral Model ◽

Pipelined Adc ◽

Model Based

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Analysis of Dynamic Wireless Power Transfer Systems Based on Behavioral Modeling of Mutual Inductance

Sustainability ◽

10.3390/su13052556 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2556

Author(s):

Giulia Di Capua ◽

Antonio Maffucci ◽

Kateryna Stoyka ◽

Gennaro Di Mambro ◽

Salvatore Ventre ◽

...

Keyword(s):

Wireless Power Transfer ◽

Behavioral Model ◽

Mutual Inductance ◽

Training Data ◽

System Level ◽

Programming Algorithm ◽

Power Transfer ◽

Wireless Power ◽

Data Set ◽

Vehicle Trajectory

This paper proposes a system-level approach suitable to analyze the performance of a dynamic Wireless Power Transfer System (WPTS) for electric vehicles, accounting for the uncertainty in the vehicle trajectory. The key-point of the approach is the use of an analytical behavioral model that relates mutual inductance between the coil pair to their relative positions along the actual vehicle trajectory. The behavioral model is derived from a limited training data set of simulations, by using a multi-objective genetic programming algorithm, and is validated against experimental data, taken from a real dynamic WPTS. This approach avoids the massive use of computationally expensive 3D finite element simulations, that would be required if this analysis were performed by means of look-up tables. This analytical model is here embedded into a system-level circuital model of the entire WPTS, thus allowing a fast and accurate analysis of the sensitivity of the performance as the actual vehicle trajectory deviates from the nominal one. The system-level analysis is eventually performed to assess the sensitivity of the power and efficiency of the WPTS to the vehicle misalignment from the nominal trajectory during the dynamic charging process.

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A Behavioral Model of MEMS Convective Accelerometers for the Evaluation of Design and Calibration Strategies at System Level

Journal of Electronic Testing ◽

10.1007/s10836-011-5207-x ◽

2011 ◽

Vol 27 (3) ◽

pp. 411-423 ◽

Cited By ~ 13

Author(s):

Ahmed Amine Rekik ◽

Florence Azaïs ◽

Norbert Dumas ◽

Frédérick Mailly ◽

Pascal Nouet

Keyword(s):

Behavioral Model ◽

System Level

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Opto-Electro-Mechanical Mixed-Signal System-Level Modeling of Micro Deformable Mirror

First International Conference on Integration and Commercialization of Micro and Nanosystems, Parts A and B ◽

10.1115/mnc2007-21188 ◽

2007 ◽

Author(s):

Yang He ◽

Chengyu Jiang ◽

Weizheng Yuan ◽

Binghe Ma ◽

Pengfei Huo

Keyword(s):

Behavioral Model ◽

Optical Signal ◽

System Level ◽

Deformable Mirror ◽

Signal System ◽

Mixed Signal ◽

Mechanical Coupling ◽

Mechanical Structure ◽

System Level Modeling ◽

Functional Components

This paper presents opto-electro-mechanical mixed-signal system-level modeling of micro deformable mirror, the core component of micro adaptive optics system. Micro deformable mirror element was decomposed into functional components and those components were connected to establish a network to represent the real device. Many mirror element models were put together to represent mirror arrays. Then simulations were implemented in just one emulator. The mirror element was decomposed into three kinds of functional components based on this method, i.e. mechanical structure component (beam and mass), electro-mechanical coupling component (electrostatic gap) and optics component (reflective mirror). The mechanical structure behavioral model, the electro-mechanical coupling behavioral model and optical behavioral model could be set up based on the theory of rigid body relative movement and matrix structural analysis, the law of energy conservation and the theory of ray optics and Gaussian beam, respectively. The models were coded in analog hardware description language and a system-level model of micro deformable mirror was established using these models. Electro-mechanical coupling simulations were implemented to find the resonance frequency, the response time and voltage-displacement relationship of the micro deformable mirror element. The frequency analysis results were compared with ANSYS simulations, and the result proved that the method has near FEM accuracy. Then optical phase modulation simulation of micro deformable mirror arrays was implemented to investigate the relationship between input optical signal and output optical signal when control voltage was applied. The simulation result indicated that the mixed-signal system-level simulation of micro deformable mirror could be accomplished rapidly in this way.

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