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Data-driven Model Order Reduction via Loewner Approach for Fast Frequency Sweep in Hybrid BI-FEM Solution in Large Finite Frequency Selective Surfaces

Data-driven Model Order Reduction via Loewner Approach for F...

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IEEE-MTT-S International conference on Numerical Electromagnetic and Multiphysics modeling and optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： de la Rubia, Valentin Peng, Zhen Univ Politecn Madrid ETSI Telecomunicac Dept Matemat Aplicada TIC Ave Complutense 30 E-28040 Madrid Spain Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA

ISBN: (纸本)9781509048373

A data-driven model order reduction technique for fast frequency sweep in computationally intensive full-wave solution in large finite frequency selective surfaces is detailed. A hybrid Boundary Integral-Finite Element Domain Decomposition Method is addressed to accurately predict the electromagnetic behavior of these structures. A reduced-order model is built up by means of output data provided by the electromagnetic solver, which is used as a black box as regards the model order reduction process. A Loewner matrix approach is taken into account to provide a tangential interpolation to S parameter output data. As a result, a dynamical system representation fitting the simulation data is obtained, and further electromagnetic insight can be earned from this system representation.

关键词： Boundary element methods discontinuous Galerkin methods finite element methods Loewner framework reduced order systems

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simulation-driven DESIGN OF SAILING YACHTS AND MOTOR BOATS 7

SIMULATION-DRIVEN DESIGN OF SAILING YACHTS AND MOTOR BOATS

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7th International conference on Computational Methods in Marine Engineering (MARINE)

作者： Hasubek, Bodo Harries, Stefan Dreamcatcher 1 Sonnenblumenring 39 D-86415 Mering Germany FRIENDSHIP SYST AG Benzstr 2 D-14482 Potsam Germany

ISBN: (纸本)9788494690983

The design of yachts and boats can significantly benefit from simulation-driven design (SDD) using codes of Computational Fluid Dynamics (CFD). In SDD a large number of virtual prototypes is investigated numerically for key objectives. In hydro- and aerodynamics objectives often relate to resistance and lift which govern the performance of both sailing yachts and fast motor boats. In order to reduce the dimensionality of the design space, i.e., the degrees-of-freedom, a parametric approach is utilized. For the flow simulation different levels of fidelity are used, ranging from potential flow analysis to viscous flow simulation solving the RANS equations. Design examples applying the SDD approach will be presented for both a sailing yacht and a motor boat. The sailing yacht is a 20m catamaran for worldwide travel and the motor boat is a 6m planing boat for day cruises. Parametric models for the two vessels will be discussed, comprising the generation of surfaces and watertight tri-meshes, the latter of which can be fed to the CFD code of choice. Here SHIPFLOW (R) and FINE (TM)/Marine were applied in connection with CAESES (R) which provided both the shapes and the integration of CFD for SDD. To close the simulation driven design cycle of the sailing catamaran an appended version of the parametric model with rudders and daggerboard is used for virtual tank testing. Combining these results with a suitable sail model allows for an accurate velocity prediction (VPP) in an early design stage.

关键词： simulation-driven Design (SDD) Yacht Design Computational Fluid Dynamics (CFD) Parametric modeling optimization

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Towards simulation-Based Role optimization in Organizations 40th

Towards Simulation-Based Role Optimization in Organizations

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40th Annual German conference on Artificial Intelligene (KI)

作者： Reuter, Lukas Berndt, Jan Ole Timm, Ingo J. Trier Univ Business Informat 1 Behringstr 21 D-54296 Trier Germany

ISBN: (纸本)9783319671901;9783319671895

The modern workplace is driven by a high amount of available information which can be observed in various domains, e. g., in Industry 4.0. Hence, the question arises: Which competences do actors need to build and efficient work environment? This paper proposes an simulationbased optimization approach to adapt role configurations for team work scenarios. The approach was tested using a multiagent-based job-shop-scheduling model to simulate the effects of various role configurations.

关键词： optimization Multiagent-based simulation Agent-based modeling Team cognitions

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3rd Workshop on Advances in simulation-driven optimization and modeling, ASDOM 2014

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3rd Workshop on Advances in simulation-driven optimization and modeling, ASDOM 2014

ISBN: (纸本)9783319275154

The proceedings contain 15 papers. The special focus in this conference is on simulation-driven optimization and modeling. The topics include: Numerical aspects of model order reduction for gas transportation networks;parameter studies for energy networks with examples from gas transport;assessment of inverse and direct methods for airfoil and wing design;two-stage Gaussian process modeling of microwave structures for design optimization;efficient reconfigurable microstrip patch antenna modeling exploiting knowledge based artificial neural networks;optimal design of photonic crystal nanostructures;linear and nonlinear system identification using evolutionary optimisation and sobol indices for dimension adaptivity in sparse grids.

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Intelligent Computing, Networked Control, and Their Engineering Applications 1st ed. 2017

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丛书名： Communications in Computer and Information Science

2017年

作者： Dong Yue Chen Peng Dajun Du Tengfei Zhang Min Zheng Qinglong Han

ISBN: (数字)9789811063732

ISBN: (纸本)9789811063725

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International conference on Life System modeling and simulation, LSMS 2017, and of the International conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; modeling and simulation of Life Systems; Data driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; modeling, simulation and Control in Smart Grid and Microgrid; optimization Methods; Computational Methods for Sustainable Environment.

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simulation of nozzle position optimization based on single-phase flow

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IOP conference Series: Materials Science and Engineering 2019年第1期542卷

作者： Guang Chen Yuancong Zhou Xuelin Qian Wenmin Wu Yifan Zhao Yumei Hu State Key Laboratory of Mechanical Transmission Chongqing University Chongqing 400044 China Chinese helicopter Desigh and Research Institude 333001 China

The numerical simulation on the lubrication of the complex gearbox was studied and an optimization for its injection lubrication system was carried out. Firstly, a pair of high speed gear test bench was built and related experiments were completed. The experimental results verified the correctness of the numerical simulation modeling method. Then the numerical model of the injection lubrication of the complex gear box was established, the simulation analysis was carried out. The results show that the overlong injection distance, the angle of the end face and the arrangement of the nozzle in the out of mesh side are not good for lubrication. And there is a trace in the center plane of the two meshing gear, along which the ejected oil will be under the least impact of the high speed airflow that driven by the rotating gears. When the nozzle axis is in the direction of the trace, the gear lubrication condition is the best.

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration 1st ed. 2017

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丛书名： Communications in Computer and Information Science

2017年

作者： Kang Li Yusheng Xue Shumei Cui Qun Niu Zhile Yang Patrick Luk

ISBN: (数字)9789811063640

ISBN: (纸本)9789811063633

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A new method to transform petri nets to digital circuits using input-driven reachability graphs 31

A new method to transform petri nets to digital circuits usi...

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31st Annual European simulation and Modelling conference, ESM 2017

作者： Brandau, Christoph Tutsch, Dietmar School of Electrical Information and Media Engineering University of Wuppertal Germany

ISBN: (纸本)9789492859006

This paper introduces the transformation process from digital circuit Petri nets (DCPN) to digital circuits. It describes the complete process from modeling a Petri net to the generation of VHDL code. First, a short introduction to DCPN is given. Then the transformation process will be discussed and several strategies are shown. This paper introduces a new way to generate sequential circuits from Petri nets. For this purpose, the input-driven reachability graphs will be introduced. Combina-tional logic will be transformed by the use of truth tables and optimization like Quine-McCluskey or Karnaugh maps. All strategies are implemented in the tool Logical Petri Net (LPN). The LPN is described in (Brandau et al., 2016a). © 2017 EUROSIS-ETI. All rights reserved.

关键词： Petri nets

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optimization of Neural Network Architecture using Particle Swarm Algorithm for Dissolved Oxygen Modelling in a 200L Bioreactor PHA Production

Optimization of Neural Network Architecture using Particle S...

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Student conference on Research and Development (SCOReD)

作者： Nor Hana Mamat Samsul Bahari Mohd Noor Azura Che Soh Ahmad Hazri Ab. Rashid Nur Liyana Jufika Ahmad Ishak Mohd Yusoff Faculty of Engineering Universiti Putra Malaysia Selangor Malaysia SIRIM Berhad Industrial Biotechnology Research Centre Selangor Malaysia

ISBN: (纸本)9781538691762;9781538691755

In a polyhydroxyalkanoates (PHA) production, optimized fermentation process helps in reducing overall cost by increasing productivity. Dissolved oxygen (DO) concentration influences growth rate which in turn affect the PHA production rate. Data driven technique using artificial neural network (ANN) is beneficial as process data based on real conditions are used. In this paper, we propose the use of particle swarm optimization (PSO) method in artificial neural network (ANN) model to determine the optimal number of neurons in hidden layer for modelling dissolved oxygen (DO) concentration in PHA fermentation process. The neural network is modelled using real production data from a pilot scale 200L fed-batch bioreactor. A comparison between the proposed ANN-PSO and ANN is provided. simulation result shows that ANN-PSO eliminates the need for time consuming repeated runs and able to obtain similar number of optimal hidden neuron with improved model accuracy.

关键词： Neurons Training Production Artificial neural networks Testing Biological system modeling Biological neural networks

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Model Predictive driven Volt/VAr Control for Smart Grid Enabled CVR in Active Distribution Network

Model Predictive Driven Volt/VAr Control for Smart Grid Enab...

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IEEE Power India conference

作者： Shailendra Singh Sunil Kr. Muwal Devesh Shukla S. P. Singh Department of Electrical Engineering Indian Institute of Technology (BHU) Varanasi Varanasi India

ISBN: (纸本)9781538673409;9781538673393

Energy conservation through voltage reduction methodology is becoming popular now a days. Enabling of conservation of voltage reduction (CVR) through smart grid technologies makes informal and effective way. However, the integration of distributed energy resources (DERs) in active distribution grids are facing some operational issues. Moreover, the enabling of CVR through conventional schemes are restricted with limited voltage reduction and unable to cope up during intermittency. This paper proposes a model predictive driven Volt/VAR Control (VVC) scheme for smart grid enabled CVR operation in presence of solar photovoltaic (PV) power system. The impact of uncertainty in PV power generation and error in load forecasting are incorporated in predictive model. Scenario based Volt/VAR optimization (VVO) approach is utilized to CVR deployment. The VVO objective is to minimize the voltage deviations between load node voltage and expected CVR voltage. The VVO problem is solved through particle swarm optimization. In order to avoid the voltage violation due to cloud transients, PV inverter-based VAR has been dispatched as a local voltage control. The proposed CVR method is validated on modified IEEE 13 node feeder of radial distribution network. The simulation results revels that the remarkable energy demand and peak load power is reduced through proposed CVR scheme with suitable feeder voltage profile.

关键词： Load modeling Uncertainty Predictive models Voltage control Smart grids Reactive power Capacitors

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