Edge computing has emerged as a popular paradigm to meet the growing demands of time-sensitive and compute-intensive tasks. In edge computing systems, the problem of task load imbalance among edge servers often leads ...
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With advancements in computer technology, modeling and simulation have become increasingly important in reducing development costs and enhancing performance. And the core of simulation is mesh generation, the first an...
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ISBN:
(纸本)9798350348712;9798350348705
With advancements in computer technology, modeling and simulation have become increasingly important in reducing development costs and enhancing performance. And the core of simulation is mesh generation, the first and most fundamental step in numerical computations. In this paper, utilizing the Delaunay triangulation method, we've developed a three-dimensional mesh generator for microwave tube structures, for significantly enhancing mesh quality and stability. Additionally, the mesh optimization algorithm based on Quasi-Newton method effectively refines poor-quality meshes, a crucial step towards ensuring a numerical simulation reliability under various operational conditions. The numerical results have shown the success of the implemented mesh optimization algorithm, particularly in significantly improving the quality of poor-quality mesh elements. This mesh generator will be incorporated as a core component of Microwave Tube Simulator Suite.
Due to inherent the 3-D magnetic structure of axial flux machines (AFM), 3-D finite element analysis (FEA) is the most commonly utilized approach for simulation in the design and analysis. However, these simulations a...
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ISBN:
(纸本)9798350362213;9798350362220
Due to inherent the 3-D magnetic structure of axial flux machines (AFM), 3-D finite element analysis (FEA) is the most commonly utilized approach for simulation in the design and analysis. However, these simulations are exceedingly time-demanding, particularly during the early phases of the design. This challenge has not been properly addressed in the design of an axial flux magnetic resonant motor (AFMRM). This in turn has limited the level of optimization that has been achieved in the design of AFMRM motor. In this paper, we present a method to quasi-3-D conduct FEA modeling analysis of an AFMRM motor. It is achieved by slicing the 3-D geometries of the AFMRM machine with cylindrical planes of different radii to form equivalent 2-D linear machine (2DLM) models. The magnetic problem is then solved in each slice with a 2-D finite element method (FEM). As a result, the generated mesh required for computation is faster and many designs analysis can therefore be implemented for optimization.
A multi microgrid system can interconnect adjacent microgrids for overall scheduling, effectively increasing the proportion of renewable energy consumption and improving the economic and stability of the operation of ...
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ISBN:
(纸本)9798350375794;9798350375800
A multi microgrid system can interconnect adjacent microgrids for overall scheduling, effectively increasing the proportion of renewable energy consumption and improving the economic and stability of the operation of microgrids. However, the uncertainty of distributed renewable generation bring challenges to the operation of multi microgrid systems. Moreover, the current collaborative strategy of multi microgrid systems has not taken the optimization goals of different types of microgrids into account. This paper proposes a multi-objective optimization model for multi microgrid systems that considers the operational objectives of each microgrid. A scenario feature analysis method which combines Latin hypercube sampling and cluster analysis is applied to simulate the impact of uncertainty in wind and photovoltaic output on multi microgrid systems which can greatly reduce the scale of optimization problem. Adaptive grid particle swarm optimization algorithm is applied to solve the objective problem and the simulation results show that the collaborative optimization algorithm can effectively improve the renewable energy consumption rate of the system, reduce the external energy dependence of the system, and lower operating costs.
For precise control, it can be achieved through a feedforward controller with a feedback control scheme. The feedforward controller can be automatically tuned with the data-driven methods through experimental results....
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ISBN:
(纸本)9781665466615
For precise control, it can be achieved through a feedforward controller with a feedback control scheme. The feedforward controller can be automatically tuned with the data-driven methods through experimental results. However, these data-driven methods are interrupted when the input disturbance is applied. This problem can be solved using Disturbance Observer (DOB) in the control loop. In addition, a data-driven method derives accurate control performance by simultaneously tuning the feedforward controller and DOB model. Furthermore, a tuning algorithm with a rational model is proposed for the corresponding modeling to a flexible system. The simulation results verify that the proposed method accurately tunes the controller for an unknown plant under an input disturbance.
The authors' recent research into the use of Kane's equations with bond-graph models of mechanical systems is summarized. A bond-graphic derivation of Kane's equations for a general particle system with em...
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In this work conventional PID and fractional order PID (FOPID) controllers are designed for Twin Rotor Aerodynamic System (TRAS). TRAS is a nonlinear and multi input multi output (MIMO) system. The aim of the proposed...
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Ultrasound imaging is characterized by low resolution due to the point spread function, which limits its application in medical diagnosis. Most improvement algorithms proposed for the point spread function ignore its ...
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ISBN:
(纸本)9798350380903;9798350380910
Ultrasound imaging is characterized by low resolution due to the point spread function, which limits its application in medical diagnosis. Most improvement algorithms proposed for the point spread function ignore its spatial variability, and there is still a need for improvement. In this paper, we propose an ultrasound image improvement method based on the parameter optimization of the spatially variable point spread function, which takes into account the spatial variability of the point spread function while modeling the point spread function, and determines the desired spatially variable point spread function through parameter optimization. Better beam parameters and image quality are achieved by the method, and its validity is verified on both simulation data and experimental data.
This study investigated the modeling of heat and current distribution in interconnect structure used in semiconductor systems based on their shapes, utilizing Finite Element Method (FEM) simulations. Through experimen...
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ISBN:
(纸本)9798350385182;9798350385175
This study investigated the modeling of heat and current distribution in interconnect structure used in semiconductor systems based on their shapes, utilizing Finite Element Method (FEM) simulations. Through experimental validation, the research aims to optimize power efficiency in interconnect structures. It identifies issues such as increased current density due to reduced contact area between metal lines and vias and temperature rise from Joule heating. The findings provide insights into considerations for reliably scaling down interconnect structures in semiconductor systems and can be widely applied to research aimed at enhancing reliability.
In the present work, we review and analyze the most widely adopted theoretical models to characterize the radiated terahertz pulse in photoconductive antennas, with a focus on the impact of antenna gap size, small gap...
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