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21st IEEE International conference on Sciences and Techniques of Automatic Control and Computer Engineering, stA 2022

作者： Yetkin, Sarp Kaya Eren, Mert Zengin, Namik Rencuzogullan, Ender Ayhan Tomruk, Mert Yilmaz, Hakan AVL Research and Engineering Istanbul Turkey

ISBN: (纸本)9781665482615

Due to a greater demand for driving safety, vehicle-to-everything (V2X) communication studies has grown up. In this study, intersection assist (IA) function is developed to establish V2X communication in a vehicular network. Various tools are integrated into the co-simulation environment to execute the simulation. The main goal is to simulate different communication types, such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I), so several scenarios are created to simulate V2X communication. In Simulation of Urban Mobility (SUMO), simulations are performed for the given scenarios which are based on model-based systems engineering (MBSE) approach. Controllers are built in Simulink and used to control vehicles in SUMO, while Virtual Test Drive (VTD) is used to visualize the simulation in a 3D environment. ***™ is used to run each of these several tools simultaneously. MBSE section of this paper addresses the first major steps of system specification which are use case generation and requirement elicitation. Afterwards, specified use cases and requirements are modeled with systems modeling language (SysML) diagrams. The developed methodology shows that MBSE provides highly efficient advantages for the design of complex systems in terms of utilizing interconnectedness and traceability. Additionally, V2X impacts on the IA is analysed. © 2022 IEEE.

关键词： modeling languages

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Service Design of Vehicle system Based on Ergonomics 21st

Service Design of Vehicle System Based on Ergonomics

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21st International conference on Man-Machine-Environment system Engineering (MMESE)

作者： Zhang, Jiahe Kang, Xiaoyu Wu, Zhenming Northeast Petr Univ Sch Mech Sci & Engn Daqing 163318 Heilongjiang Peoples R China

ISBN: (纸本)9789811659638;9789811659621

This paper explores the development of service design concept and its application in vehicle-mounted system. It compares and analyzes the design concept, design idea, function integration characteristics, application and advantages and disadvantages of four mainstream vehicle-mounted entertainment systems in Drive, MMI, COMAND and Uconnect. It also summarizes the design methods of mainstream vehicle-mounted system design and the application of service design concept at the present stage, puts forward the optimization service design methods of vehicle-mounted system, and combs and contrasts the application of service design in vehicle-mounted system.

关键词： Service design On-board system Automotive interior Design method

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Power system Frequency and Phasor Estimation for a Low-Cost Synchrophasor Device Using the Nonlinear Least-Square Method

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IEEE TRANSACTIONS ON INDUstRY APPLICATIONS 2022年第1期58卷 39-48页

作者： Singh, Atul Parida, S. K. Indian Inst Technol Patna Dept Elect Engn Patna 801103 Bihar India

Wide area monitoring, protection, and control has now become an essential infrastructure to run an interconnected power system. To accomplish this by using synchrophasor technology, a wide range of phasor measurement unit (PMU) designs are available in the literature, but most of them are very costly because of the requirement of a high-speed processor to run complex algorithms. In this article, an algorithm for the synchrophasor and frequency estimation is proposed for processing platforms with low computational resources and is delineated extensively in respect of both accuracy and processing time. The proposed solution harnesses the main advantages of two well-known algorithms, viz. the zero-crossing detection and nonlinear least-squares method. Both algorithms are incorporated in a computationally efficient manner to reduce the processing time up to a lower extent while maintaining a good accuracy as per the standard IEEE testing conditions. The performance of the proposed algorithm has been evaluated through simulations as well as experimentally on the Raspberry Pi board. The consistency of the test results and minimum processing time provides clear evidence that the implemented design is suitable for PMU prototyping and is compliant with the mandatory IEEE standard C37.118.1-2011 and its amendment IEEE C37.118.1a-2014.

关键词： Phasor measurement units Estimation Heuristic algorithms Harmonic analysis Discrete Fourier transforms standards Computational modeling Nonlinear least square phasor measurement unit (PMU) Raspberry Pi synchrophasor zero-crossing detection (ZCD)

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Research on Graphical modeling and Simulation Method of Control system Based on Python 1

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21st Asia Simulation conference, AsiaSim 2022

作者： Xie, Yongxuan Song, Xiao Tu, Yuchun Cui, Yong Zhou, Junhua Zhai, Yanjun School of Automation Science and Electrical Engineering Beihang University Beijing China School of Cyber Science and Technology Beihang University Beijing China Beijing Simulation Center Beijing China

ISBN: (数字)9789811991981

ISBN: (纸本)9789811991974

Compared with traditional control system modeling, directed graph, as one of the graphical model representation methods, can be introduced into the control system modeling process to effectively improve the modeling efficiency. Based on this, a graphical modeling and simulation method of control system based on directed graph is proposed. Specifically, a control system modeling method based on hierarchical model elements and directed graph description is proposed. Secondly, a control system parsing method oriented to graphical description is designed and implemented, and an integrated environment of graphical modeling and simulation execution is realized. On this basis, control systems based on directed acyclic graphs and directed cyclic graph descriptions are constructed, and the effectiveness of the proposed method in control system modeling and simulation is demonstrated by cases of first-order system, second-order system, follower systems and hydraulic circuits. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Python

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Thermal error modeling for CNC machine tools using a random forest machine learning algorithm 21

Thermal error modeling for CNC machine tools using a random ...

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21st International conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021

作者： Zhu, Mengrui Yang, Yun Feng, Xiaobing Du, Zhengchun Yang, Jianguo State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780995775190

Thermal error modeling is essential to improving the machining accuracy as thermal error accounts for a majority of the total errors in CNC machine tools. Current modeling methods, such as physics-based modeling and conventional machine learning techniques (e.g. artificial neural networks) are limited in terms of accuracy and robustness. This paper presents a novel error modeling method for the spindle thermal errors based on the Random Forest algorithm. Spindle thermal errors in a three-axis machine tool as well as the temperature key points are both measured to train the proposed model. The model parameters of the regression trees are optimized by integrating the grid search method with five-fold cross-validation to derive the optimization tree model and prevent from overfitting. Comparing with the actual measurement results of spindle thermal errors, the model prediction accuracy is over 95%, which validates the proposed model. Compared to conventional modeling methods based on artificial neural networks, the proposed model requires less training data, achieves higher prediction accuracy, and is more robust against measurement noise. © 2021 Proceedings of the 21st International conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. All rights reserved.

关键词： Machine tools

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Prototype of Turbine Propulsion system with Controllable Thrust Vector for Long-Range Unmanned VTOL Aircraft 21st

Prototype of Turbine Propulsion System with Controllable Thr...

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21st Polish Control conference, PCC 2023

作者： Czyba, Roman Lemanowicz, Marcin Domin, Jaroslaw Grzybowski, Jacek stępień, Izabela Ungier, Lukasz Rosiek, Radoslaw Bialas, Piotr Niemiec, Michal Department of Automatic Control and Robotics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology ul. Akademicka 16 Gliwice44-100 Poland Department of Chemical Engineering and Process Design Faculty of Chemistry Silesian University of Technology ul. Ks. M. Strzody 7 Gliwice44-100 Poland Department of Mechatronics Faculty of Electrical Engineering Silesian University of Technology ul. Akademicka 10a Gliwice44-100 Poland

ISBN: (纸本)9783031351723

The aim of the project was to build a prototype of a turbine drive with a controllable thrust vector for a long-range vertical take-off and landing (VTOL) aircraft. The construction of the prototype required the development of a vectoring system for the tail propulsion system and a dedicated VTOL aircraft stabilization and control system. The prototype of the turbine drive system was based on energy-efficient electric motors. Research also involved modeling the turbine propulsion aerodynamics with usage of computational fluid dynamics (CFD) analysis. As a result of the design stage, a prototype of the propulsion system was created, on which flight tests were carried out. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computational fluid dynamics

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optimization Configuration Method for Voltage Sag Monitors Considering Photovoltaic Integration

Optimization Configuration Method for Voltage Sag Monitors C...

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International conference on Harmonics and Quality of Power

作者： Xiaorui Liang Huicong Liu Huaying Zhang China Southern Power Grid Corporation Shenzhen Power Supply Bureau Electric Power Research Institute Shenzhen China

ISBN: (数字)9798350382563

ISBN: (纸本)9798350382570

The integration of photovoltaic (PV) power sources has brought new problems to voltage sag in new power systems. Optimizing the configuration of voltage sag monitoring devices is an effective means to reduce monitoring costs. This article uses high-order Markov chains and Gaussian mixture models to probabilistic model PV power sources, improving the accuracy of PV probabilistic modeling. The calculation method for correcting residual voltage amplitude considering the low voltage ride through (LVRT) characteristics of PV is proposed. The optimization configuration method is based on the constraint that all system faults can be recorded by the monitoring device, and the optimization objective is to minimize the configuration cost of the monitoring devices. The obtained configuration scheme not only meets the economic requirements but also ensures that all voltage sags caused by faults in the system can trigger at least one monitoring device to record in power systems with PV access. The effectiveness of the proposed method was verified through simulation analysis using an IEEE30 node testing system.

关键词： Photovoltaic systems Low voltage Costs Power quality Power system harmonics Probabilistic logic Harmonic analysis Monitoring optimization Testing

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An Improved Multi-Objective GA for Low Frequency Metamaterial Unit Robust optimization under Uncertainty

An Improved Multi-Objective GA for Low Frequency Metamateria...

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IEEE conference on Electromagnetic Field Computation

作者： Yiying Li Xiaowen Xu Shiyou Yang College of Electrical Engineering Zhejiang Univesity Hangzhou China

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

Metamaterial (MM) is very promising in engineering application since it exhibits extraordinary physical properties that do not exist in nature. Nevertheless, the development of a MM still faces bottleneck problems such as to maximize negative permeability and ensure the robustness of the high permeability at the working frequency in engineering applications. To address the inefficiencies of existing multi-objective robust optimization methodologies in applications to MM designs, an improved multi-objective genetic algorithm and an adaptive response surface model are proposed. The numerical optimization results of a prototype MM unit have demonstrated the feasibility and merits of the proposed methodology.

关键词： Uncertainty Computational modeling Prototypes Metamaterials Robustness Response surface methodology Permeability

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21st International conference on Computing and Information Technology, IC2IT 2025

21st International Conference on Computing and Information T...

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21st International conference on Computing and Information Technology, IC2IT 2025

ISBN: (纸本)9783031902949

The proceedings contain 18 papers. The special focus in this conference is on Computing and Information Technology. The topics include: Predicting Employee Attrition Using Machine Learning: A Comparative Analysis of Traditional Models and Neural Networks;Leveraging PubMed Abstracts for Identifying COVID-19 Treatment Modalities;Distinguishing AI-Generated Text from Human-Written Text Using Machine Learning;a Comparative study of Machine Learning Models for Human Activity Recognition Using Signal Feature Extraction;development of a Network Threat Detection system Using Artificial Intelligence;Darknet Traffic Detection with Entropy Metrics and RNN;Reinforcement Learning Evaluation for Solving Fundamental AI Problem;HLBSA: Hierarchical Learning Backtracking Search Algorithm for Global optimization;ontology-Based Learning Assistant Chatbot: Enhancing Accurate and Explanatory Knowledge Provision in Myanmar’s Primary Education;clustering-Based Approach for Identifying Key Information to Develop Short Video Prototypes in Science Communication for Aging Populations;a Context-Aware Real-Time Security Model for Automotive systems;advancing Image Segmentation and Classification with Mamba-Based Architectures;exploring the Effectiveness of Fundus Image Enhancement for Diabetic Retinopathy Classification;enhancing Potato Blemish Detection Through Interactive Image Segmentation and Classification;application of Long Short-Term Memory Networks for Signature Recognition;enhancing Edge Detection in Images Using Ant Colony optimization.

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A Sustainable Energy Solution for Wind-PV-Battery Microgrid system with Enhanced Reliability 21

A Sustainable Energy Solution for Wind-PV-Battery Microgrid ...

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21st IEEE India Council International conference, INDICON 2024

作者： Mishra, Jyotismita Shankar, Ajay Rajesh, Utkarsh School of Electrical Engieering VIT Chennai Chennai India India Center of Excellence Energy Exemplar Pune India

ISBN: (纸本)9798350391282

Microgrid systems powered by distributed energy resources (DERs) are gaining prominence in remote areas. Optimizing the sizing of these DERs is crucial for achieving self-sufficiency, reliability, and cost-effectiveness. This paper proposes a stochastic three-dimensional (stD) optimization technique tailored for wind-solar-battery microgrid systems. To address the energy trilemma (ET), the proposed technique employs a three-dimensional objective function that prioritizes low cost, high reliability, and minimal energy loss. © 2024 IEEE.

关键词： Distributed Wind

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