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modeling and control of a novel mechatronic model of a 750 kW-FSWT with power-splitting transmission using RBF neural network: a bond graph approach

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simulation-TRANSACTIONS OF THE SOCIETY FOR modeling AND simulation international 2024年第11期100卷 1153-1174页

作者： Karimi, Mohssine Zekraoui, Mustapha Khaouch, Zakaria Touairi, Souad Sultan Moulay Slimane Univ Fac Sci & Tech Ind & Surface Engn Lab Beni Mellal Morocco

This work addresses issues that appear from wind turbines equipped with frequency converters and presents a new fixed-speed wind turbine (FSWT) concept based on a split power transmission, along with a Mechatronic Control Model. The wind turbine rotor drives the first transmission shaft, while a servomotor with variable speed powers the second input. The differential gear transmission output is linked to the electric grid through an asynchronous generator. To optimize the power extracted from the wind energy while minimizing excessive dynamic loads on the wind turbine, a mechatronic control model of a 750 kW-FSWT is applied using a proportional and integral controller (PI). The paper suggests employing neural networks and evolutionary algorithms for determining appropriate PI gains. For collective servomotor control of a 750 kW-FSWT, a radial basis function (RBF) neural networks based on PI controller is proposed. To acquire an optimum dataset for RBF training, the particle swarm optimization (PSO) evolutionary algorithm is harnessed. The robustness and effectiveness of the proposed model and controller are verified and confirmed through simulation results. Hands-on experience is conducted using the 20-sim software package.

关键词： Wind turbine fixed-speed wind turbine bond graph modeling mechatronic control radial basis function neural network particle swarm optimization evolutionary algorithm gain scheduling

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Development of an open-source library for supply chain modeling and optimization 38

Development of an open-source library for supply chain model...

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38th ACM SIGSIM international conference on Principles of Advanced Discrete simulation (ACM SIGSIM PADS)

作者： Lone, Tushar Indian Inst Technol Goa Bandiwada Goa India

ISBN: (纸本)9798400703638

Modern-day Supply Chains (SC) are intricate networks spanning the globe, that are vulnerable to disruptions ranging from natural calamities to changing international policies. Their design, optimization and management requires a consideration of aspects such as resilience and sustainability alongside profitability. simulation plays a key role in SC design. Despite the existence of commercial tools, there is a dearth of well-documented, open-source libraries for supply chain simulation. This paper presents an outline and work-in-progress towards the development of an open-source Python library for modeling and discrete-event simulation of supply chain networks. The design of the library is guided by a detailed literature survey of supply chain models and applications, through which we have identified a set of configurable model components, their parameters and optimization measures that have wide applicability. A Graph Neural Network (GNN) based meta-model generation and optimization flow is also planned to be integrated with the library for aiding design exploration. We present a brief summary of the review and takeaways along with an outline of the SC modeling library and the planned design exploration flow.

关键词： Discrete event simulation

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Global optimization Based Small-Signal modeling applied to AlGaN/GaN Transistors

Global Optimization Based Small-Signal Modeling Applied to A...

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2024 IEEE international conference on modeling, simulation and Intelligent Computing, MoSICom 2024

作者： Mansour, Aisha Jarndal, Anwar University of Sharjah Electrical Engineering Department Sharjah United Arab Emirates

ISBN: (纸本)9798331533311

Operating the GaN transistor at high frequencies stimulates additional parasitic effects, which have a strong impact on the RF characteristics of the device. Directly extracting these distributed elements may not be practical, especially for large parameters devices. In this case, an optimization-based approach could be the best alternative. In this paper, different optimization algorithms will be investigated and applied to a small-signal equivalent circuit model. MATLAB codes have been developed and implemented to extract the practical extrinsic elements of a 4 × 125 μ ~m GaN on Diamond high electron mobility transistor (HEMT). An extrinsic parameters extraction procedure has been developed based on the Sine-Cosine Algorithm (SCA). The performance of the proposed method was compared with reported optimizations, and the results were very good. The results of this paper are very important for accurate small and large-signal modeling and reliable circuit design. © 2024 IEEE.

关键词： Gallium nitride

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Microstructure-insight topology optimization for efficient interconnect flow channels in solid oxide fuel cells

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international JOURNAL OF HEAT AND MASS TRANSFER 2025年 242卷

作者： Ren, Keda Su, Yunpeng Zhong, Zheng Jiao, Zhenjun Harbin Inst Technol Shenzhen Sch Sci Shenzhen 518055 Peoples R China

The channel layouts on bipolar interconnects play an important role in improving the electrochemical performance of solid oxide fuel cells (SOFCs). Most previous layout design studies are performed based on artificial predetermination without optimization. In this study, a topology optimization method for the flow channel layout of SOFCs based on the real microstructure of SOFC components is presented. Based on the reconstructed real microstructure, relevant numerical simulations are performed to analyze the multiphysics coupling mechanisms in SOFCs and provide an effective tool for SOFC performance prediction. To further improve SOFC performance, a numerical framework for flow field optimization based on the actual microstructure of a specific SOFC is proposed. The density-based topology optimization is used for the layout of the flow channels by coupling it with the multiphysical fields generated from electrochemical simulation coupled with flow field modeling. The optimization is modified based on the modification of the source term derived from the electrochemical simulation to achieve a significant improvement in the electrochemical performance of the SOFCs.

关键词： Solid oxide fuel cell (SOFC) Multiphysics coupling model Flow channel layout Modified topology optimization method Electrochemical performance improvement

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A review on simulation-based metamodeling in emergency healthcare: methodology, applications, and future challenges

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simulation-TRANSACTIONS OF THE SOCIETY FOR modeling AND simulation international 2023年第10期99卷 989-1009页

作者： Sahlaoui, Fatima-Zahra Aboueljinane, Lina Lebbar, Maria Mohammed V Univ Res Team MOAD6 EMI Rabat Morocco Lab Appl Math & Business Intelligence LMAID ROSDM Res Team ENSMR Rabat Morocco Mohammed V Univ Res Team MOAD6 EMI Bloc AG N36 CYM Rabat 10120 Morocco

simulation-based metamodels or surrogate models are simplified models that capture the relationship between inputs and outputs of the simulation model. The analytical expression of metamodels is defined using a sample of input/output points obtained from the simulation model. This analytical expression is then embedded in an optimization process that usually provides solutions much faster than other simulation-based optimization techniques such as metaheuristics or mathematical modeling. The goal of this paper is to describe the simulation-based metamodeling approach and to provide a thorough review of the literature on its applications to emergency healthcare systems. For this purpose, we examine the recent literature (journals and conference proceedings) published in the last 15 years (2008-2022). Finally, we identify findings and avenues of research in simulation-based metamodeling that deserve special attention from the scientific community and allow the potential of this approach to be used for better decision-making in emergency healthcare.

关键词： simulation-based metamodeling simulation optimization emergency healthcare operations management healthcare management literature review

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Mathematical simulation and optimization of xylene isomerization reactor to enhance p-xylene production

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international JOURNAL OF CHEMICAL KINETICS 2023年第10期55卷 653-661页

作者： Hafizi, Ali Farsi, Mohammad Esfandyari, Morteza Shiraz Univ Dept Chem Engn Shiraz Iran Univ Bojnord Dept Chem Engn Bojnord Iran

This study investigated mathematical modeling and optimization of the xylene isomerization reaction in a commercial adiabatic reactor. The proposed model, consisting of a set of algebraic and ordinary differential equations, is based on a heterogeneous one-dimensional steady-state formulation. To verify the proposed model, the simulation results have been compared to available data from an industrial reactor. A good agreement has been found between the simulation and plant data. The genetic algorithm (GA) method is applied to optimize the reactor operating conditions considering the para-xylene (p-xylene) mole fraction in reactor outlet as the main objective function. According to the simulation results, there is an optimum initial temperature for maximizing the objective function. In the optimization process, the p-xylene mole fraction was enhanced by 3.0% at an optimized feed temperature of 678.04K.

关键词： genetic algorithm heterogeneous model optimization p-xylene isomerization

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Optimizing and simulating dynamic check-in counter opening with passenger allocation considerations

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simulation-TRANSACTIONS OF THE SOCIETY FOR modeling AND simulation international 2025年

作者： Yuan, Xiao-Ting Tang, Tie-Qiao Chen, Liang Qin, Meng-Xin Beihang Univ Sch Transport Sci & Engn Beijing 100191 Peoples R China Minist Educ Key Lab Intelligent Transportat Technol & Syst Beijing Peoples R China Beijing Univ Technol Beijing Key Lab Traff Engn Beijing Peoples R China

With the increasing adoption of self-service bag drop facilities, modern airports necessitate check-in counter optimization models that strategically allocate passengers between staffed and self-service facilities while balancing operational costs and service quality. This study develops a two-tiered decision framework integrating dynamic integer programming and discrete-event simulation (DES) to minimize manual counter-staffing costs while guaranteeing service level agreements. We first formulate an integer programming model that allocates passengers to manual or self-service channels based on passengers' profiles. To address queue overflow during peak hours, a dynamic capacity scaling factor is introduced to the integer programming model. The DES module then iteratively validates queueing dynamics and feeds back queueing time to optimization layer, triggering increase in the capacity scaling factor and reallocations when predicted wait times exceed 15-min thresholds. applied to Baiyun Airport Terminal 2, the model results show a 9.2% increase in operational cost (from 8824.5 to 9633.75) but a 30.9% reduction in average manual check-in wait time (from 8.1 to 5.6 min), reducing peak-period congestion. This study provides decision support for optimizing check-in counter operations at airports.

关键词： Airport check-in passengers' allocation staff shift scheduling optimization model discrete-event simulation

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d-MALIBOO: a Bayesian optimization framework for dealing with Discrete Variables 32

d-MALIBOO: a Bayesian Optimization framework for dealing wit...

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32nd international conference on modeling, Analysis and simulation of Computer and Telecommunication Systems

作者： Sala, Roberto Guindani, Bruno Ardagna, Danilo Guglielmi, Alessandra Politecn Milan Dept Elect Informat & Bioengn Milan Italy Politecn Milan Dept Math Milan Italy

ISBN: (纸本)9798331531317;9798331531300

Cloud computing has become essential for delivering flexible and scalable resources. In this environment, finding the optimal hardware-software configuration is crucial and often involves solving constrained black-box problems on discrete multi-dimensional domains. These optimizations must be performed within a limited number of evaluations to contain costs. Bayesian optimization (BO) addresses this problem by providing near-optimal solutions with few iterations. However, the original BO algorithm was designed for continuous and unbounded domains. On the other hand, Machine Learning (ML) models are powerful tools for predicting the values of a black-box function. In this work, we present d-MALIBOO, a framework that integrates BO and ML techniques to improve the efficiency of finding optimal solutions in discrete and bounded domains. While BO suggests the next point to be evaluated by effectively balancing exploration and exploitation, ML models are valuable for determining feasibility regions and focusing the search for the optimum. Experimental results show that our algorithm outperforms alternative methods from the literature in all tested environments, especially in complex optimization scenarios, resulting in an improvement in regret by approximately 2-8 times.

关键词： Discrete Variables Bayesian optimization Machine Learning Black-box optimization Cloud Computing

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Electrothermal Modelling of Drain Current in GaN HEMTs using Artificial Neural Network and Global optimization Techniques

Electrothermal Modelling of Drain Current in GaN HEMTs using...

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2024 IEEE international conference on modeling, simulation and Intelligent Computing, MoSICom 2024

作者： Jarndal, Anwar Hashmi, Mohammad University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates Nazarbayev University School of Engineering and Digital Sciences Astana Kazakhstan

ISBN: (纸本)9798331533311

Thermal effect represents one of the main challenges for GaN power transistors. In addition to ambient temperature, the power dissipation-induced self-heating represents the main source of heating. This electrothermal effect must be accounted for by the transistor model to provide reliable circuit design. This paper makes use of a single-hidden layer Artificial Neural Network (ANN) to model the drain current. A recently developed global optimization approach is used to train the model and optimize its weights and biases. The model is applied to 8 × 125-μ m and 16 × 250-μ m GaN High Electron Mobility Transistors (HEMTs) and compared with measurements. Excellent results obtained validate the effectiveness of the ANN-based modeling and optimization methods of power transistors. The main advantage of the approach is its technology independence;thus, it could be applied to a wide range of microwave power transistors. © 2024 IEEE.

关键词： Gallium nitride

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An Investigation of Op-Amp Circuit optimization Based on Monte Carlo simulation and PVT simulation 7

An Investigation of Op-Amp Circuit Optimization Based on Mon...

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7th international conference on Automation Electronics and Electrical Engineering

作者： Zhang, Bojiang Guo, Zixuan Yu, Xinyang Che, Xing Xue, Jiahao China Univ Geosci Sch Geophys & Informat Technol Beijing Peoples R China China Univ Geosci Sch Engn & Technol Beijing Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper focuses on the investigation of op amp circuit optimization based on Monte Carlo simulation and PVT simulation, focusing on the performance of the op amp in different operating environments and its optimization method of key performance indexes. First, the performance of the op amp under different conditions is evaluated through pre-simulation and post-simulation performance analysis. Then, the performance under various combinations of process variables is statistically analyzed using Monte Carlo simulation, and the performance indexes such as gain bandwidth product (GBW), common mode rejection ratio (CMRR), and power supply rejection ratio (PSRR) are examined during the study, and the corresponding optimization strategies are given. Then, the selection of the op-amp structure is analyzed, and the design optimization of the current reference and bias circuits is further carried out. Through mathematical modeling and small-signal analysis, this paper proposes a method to optimize the design of the current source, thus improving the bandwidth and stability of the op amp. In addition, the study utilizes small-signal model-based gain and bandwidth calculations, voltage-swing ratio analysis, and power supply rejection ratio calculations. Finally, through design and simulation optimization, the op-amp design proposed in this paper meets the design specifications in most cases and shows high stability and performance advantages under different conditions.

关键词： Operational Amplifier Monte Carlo simulation Small Signal modeling Gain Bandwidth Product (GBW) PVT simulation

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