A large number of power electronic devices in the new power system bring great challenges to the efficient and accurate solution of electromagnetic transient real-time simulation, and the existing converter modeling a...
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ISBN:
(纸本)9798350375145;9798350375138
A large number of power electronic devices in the new power system bring great challenges to the efficient and accurate solution of electromagnetic transient real-time simulation, and the existing converter modeling and simulation algorithms are difficult to take into account the needs of real-time simulation on the computational efficiency and accuracy. This paper focuses on the research of voltage source type converter modeling and real-time simulation algorithm. Firstly, the semi-implicit decoupling principle is used to establish a semi-implicit model of VSC and MMC with constant conductance characteristics;then the limitations of the traditional electromagnetic transient simulation process in real-time simulation are analyzed, and the algorithm is improved by using the semi-implicit model and the characteristics of the FPGA, so that a highly efficient calculation method of the converter for real-time simulation is proposed;finally, the output waveforms of the real-time simulation model of the FPGA and the PSCAD model are compared;finally, the output waveforms of the FPGA real-time model and the PSCAD model are compared. Finally, the output waveforms of the FPGA real-time simulation model and the PSCAD model are compared, and the validation results show that the method proposed in this paper has sufficient computational accuracy and has certain advantages in terms of simulation efficiency.
This paper deals with particle motion on a cone-shaped feeder unit of an industrial multihead weigher, that distributes products through rotation. Thereby, rotational speed, rotational direction, and constraint-depend...
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ISBN:
(纸本)9781665476331
This paper deals with particle motion on a cone-shaped feeder unit of an industrial multihead weigher, that distributes products through rotation. Thereby, rotational speed, rotational direction, and constraint-dependent friction substantially influence particle motion. Thus, particle motion is modeled considering dynamic friction and constraint forces for a viscoelastic case. Due to the cone-shape of the feeder, a specific kinematic model is proposed that comprises a differentiable restriction functions for calculating constraint forces. Afterwards, simulation results are tested against real data for a food application. Furthermore, application cases for the resulting model are proposed: The model can be incorporated into a digital twin environment of the weigher as well as used to generate simulation data for data-driven control algorithms.
In this paper, we focus on arbitration inter-frame space (AIFS), an essential mechanism within the enhanced distributed channel access (EDCA) to support service differentiation. A novel modeling approach is proposed f...
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ISBN:
(纸本)9798350378412
In this paper, we focus on arbitration inter-frame space (AIFS), an essential mechanism within the enhanced distributed channel access (EDCA) to support service differentiation. A novel modeling approach is proposed for throughput optimization and service differentiation guarantee of EDCA-based networks with AIFS differentiation. In particular, a discrete-time Markov renewal process is established to model the channel state transition of EDCA-based networks, and the channel state is segmented into more granular states according to AIFS differentiation. Based on this approach, explicit expressions of the throughput of each access category (AC) are obtained as functions of the transmission probability and AIFS number. An optimal transmission probability and AIFS number to maximize the total network throughput under target service differentiation, i.e., a given ratio of node throughput of ACs, are derived. simulation results demonstrate that with the optimal setting derived in this paper, both the maximum total network throughput and the extreme target throughput ratio can be achieved.
Nonlinear behavioral Field-Effect Transistor (FET) models often rely on large look-up tables extracted from extensive load-pull characterization. Besides the numerical burden, these models have limited extrapolation c...
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ISBN:
(纸本)9798350385120;9782874870781
Nonlinear behavioral Field-Effect Transistor (FET) models often rely on large look-up tables extracted from extensive load-pull characterization. Besides the numerical burden, these models have limited extrapolation capabilities and can hardly be made dependent on the device technology. In this paper, we demonstrate that a Long Short-Term Memory (LSTM)-based Deep Neural Network (DNN) is an effective alternative modeling approach. The DNN is trained with the load-pull data within a simulation platform where data exchange between an Electronic Design Automation (EDA) tool (such as PathWave ADS) and a programming platform (such as MATLAB) is exploited. As a test case, the DNN model has been extracted for an S-band MACOM 10W GaN power device, for which the Enhanced Poly-Harmonic Distortion (EPHD) behavioral model is also available in the ADS. The accuracy of DNN model is verified against the EPHD model in terms of output power, gain, efficiency, and dynamic load lines. Compared to other behavioral models, the DNN approach is expected to provide superior extrapolation capability and to be easily reconfigurable to add/combine heterogeneous device data e.g. from advanced characterization, including memory, and physical (TCAD, EM) simulations.
This paper presents a method for modeling and simulating three-phase grid-connected solid-oxide fuel cell systems in the Matlab/Simulink environment. The approach is utilized to analyze the interaction between solid-o...
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ISBN:
(纸本)9798350369397;9798350369380
This paper presents a method for modeling and simulating three-phase grid-connected solid-oxide fuel cell systems in the Matlab/Simulink environment. The approach is utilized to analyze the interaction between solid-oxide fuel cells and the electrical power system, focusing on understanding the dynamics of the electrochemical reaction and its impact on the performance of grid-connected fuel cell systems. The results highlight the effectiveness of the proposed method in accurately modeling and operating three-phase grid-connected solid-oxide fuel cell systems.
With the increasing global focus on electric vehicles, requirement of electric vehicle charging infrastructure has become imperative. Green electric vehicle (GEV) charging station is designed for recharging electric v...
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Fuel cell system modeling and simulation is an active research area focused on improving fuel cell performance, stability, and safety, as well as optimizing system design and operating parameters. The concept and feat...
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作者：
Wandke, KevinUniv Illinois
Dept Elect & Comp Engn Urbana IL 61801 USA Univ Illinois
Beckman Inst Adv Sci & Technol Urbana IL 61801 USA Univ Illinois
Dept Nucl Plasma & Radiol Engn Urbana IL 61801 USA Univ Michigan
Dept Nucl Engn & Radiol Sci Ann Arbor MI 48109 USA
Soft robots offer an exciting and novel alternative to traditional robots composed of rigid bodies. Many of the primary benefits soft robots have over more traditional robots result from their inherent compliance and ...
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ISBN:
(纸本)9798350332223
Soft robots offer an exciting and novel alternative to traditional robots composed of rigid bodies. Many of the primary benefits soft robots have over more traditional robots result from their inherent compliance and their potential for low force interactions with their environments. Therefore, modeling soft robots requires the ability to accurately simulate contact mechanics. In this work, we present the solution of contact mechanics finite element problems specifically for soft robots in a MOOSE-based multiphysics simulation platform we developed, Kraken. The primary contributions of this work are threefold. Firstly, our implementations enable the modeling of additional types of contact critical to the simulation of soft robots. Next, we demonstrate how our new self contact method can be used to dramatically decrease the computational cost of contact modeling. Finally, we demonstrate the abilities of Kraken as a platform to simulate the complex interactions of soft robots and the environment.
This paper reports a novel co-design methodology for signal integrity analysis considering thermal effects. Our analysis focuses on practical high-speed interconnect topologies. To ensure reliable and efficient system...
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ISBN:
(纸本)9798350347401
This paper reports a novel co-design methodology for signal integrity analysis considering thermal effects. Our analysis focuses on practical high-speed interconnect topologies. To ensure reliable and efficient system design, we introduce an efficient electrical-thermal methodology (EEM) for high-speed PCB interconnects. Using our proposed EEM, we perform electrical-thermal co-simulation to ensure efficient design and performance.
We present a microfluidic flow cytometer capable of dual-modality imaging/dielectric characterization of single biological cells. A high-speed camera captures and tracks multiple particles as they pass through a micro...
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ISBN:
(纸本)9798350347401
We present a microfluidic flow cytometer capable of dual-modality imaging/dielectric characterization of single biological cells. A high-speed camera captures and tracks multiple particles as they pass through a microfluidic channel and over a coplanar electrode array that applies a non-uniform electric field and induces dielectrophoresis (DEP) translation. Imaging and particle tracking provides particle morphology and velocity information. Multiphysics dielectric-fluid dynamics simulation is used to determine cell dielectric properties from velocity changes. The system is evaluated using polystyrene microspheres and demonstrated using Chinese hamster ovary (CHO) cells.
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