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3rd international conference on Energy, Power and Electrical engineering, EPEE 2023

作者： Kumar, Anupam Rathore, Arun Ies College of Technology Department of Electrical and Electronics Engineering Madhya Pradesh Bhopal India Dr.B.R.Ambedkar National Institute of Technology Department of Electrical Engineering Punjab Jalandhar India

ISBN: (纸本)9798350318180

Dual active bridge (DAB) is propounded in the paper which is a DC-DC bidirectional power converter, along with a simulation of output power based optimum phase shift controller. While regulating the flow of power, the output power based optimum phase shift controller allows it to have a better response and better voltage stability of DC-link. The power-flow determines the voltage output, and the power flow is influenced by the ratio of primary to secondary bridge phase shift. With the control described here, the power flow is administered by computing the phase shift ratio after computing the reference from the load current and output voltage. A separate section on practical problems associated with practical DAB prototype is also presented in this paper. © 2023 IEEE.

关键词： Dead time Dual Active Bridge Converter Output power based controller phase shift angle

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Coordinated control and application of multi-terminal DC distribution system

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ENERGY REPORTS 2023年 9卷 11-21页

作者： Deng, Wei Pei, Wei Teng, Yuting Wu, Qi Yi, Yin Cao, Xinji Chinese Acad Sci Inst Elect Engn Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

Because of the rapid development of power electronics, DC loads, and distributed energy resources, the advantages of DC distribution systems are increasingly prominent. This paper provides a brief description of the concepts and functional advantages of DC distribution systems, introducing the main equipment of multi-terminal DC (MTDC) distribution system, the topologies, and the typical application scenarios of each topology. The coordinated control technology of MTDC distribution system is analysed and summarized in terms of control architecture, coordinated control, damping control, and operation mode. The existing MTDC distribution demonstration projects are summarized, and recent typical projects are introduced. Finally, the issues that can be studied regarding to the innovation and application of MTDC distribution system are pointed out.(c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Multi -terminal DC Distributed energy resources Coordinated control Power electronic transformer Demonstration projects

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Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry 3

Systematic Literature Review on Industry Revolution 4.0 to P...

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3rd international conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Sowmya, P. Ravichandran, Sathish Kumar Rakshitha Department of Robotics and Artificial Intelligence Karnataka Nitte India Christ University School of Engineering and Technology Department of Computer Science Karnataka Bangalore India Department of Artificial Intelligence and Machine Learning Karnataka Nitte India

ISBN: (纸本)9781665462167

Industry 4.0 is digitized revolution for manufacturers or companies where in new technologies are imbibed into their production system for their day-to-day operations or activities. So that their overall economic needs and efficiency can be improved. In manufacturing industry maintenance of the equipment is the key concern. When the equipment requires maintenance, it has to be done at the earliest, failing which companies will have to face consequences in terms of loss of customers, time and money. Solution is provided to this problem in terms of a technique called predictive maintenance. The content of the article focuses on different predictive maintenance strategies, which help manufacturers to forecast if equipment/component will fail so that its maintenance and repair can be scheduled exactly before the component fails. The results will be useful for manufacturers to understand the importance of industry 4.0 for predictive maintenance. © 2023 IEEE.

关键词： Industry 4.0

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A Collaborative control Model for Shop-Floor Material Handling System Based on Artificial Intelligence 3

A Collaborative Control Model for Shop-Floor Material Handli...

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3rd international conference on Electronic Information engineering and Computer Communication, EIECC 2023

作者： Zhu, Zhenfei Pang, Yifan Zhang, Yingfeng School of Mechanical Engineering Northwestern Polytechnical University Department of Mechanical Engineering Xi'an China

ISBN: (纸本)9798350359961

Industrial robots like automated guided vehicles (AGV) have drawn increased attention due to their flexibility and low cost. However, there are still several challenges, such as serious waste of vehicle loading capacity and the inability to change strategies when needed. To address these challenges, an Artificial Intelligence (AI) based collaborative control model is proposed. To achieve rapid response to changes from both high-level control systems and plant environment, the optimized decision rules are built to support the AGV self-decision-making to improve flexibility and interoperability. Then, by sharing the information on transport tasks, the vehicle can submit requests to take tasks proactively. The production logistic service system is built to assess the transport capabilities of vehicles and optimize the task plans to decrease the No-load rate of vehicles, improving overall efficiency. The presented method is demonstrated by a set of simulations, which proved that the overall task completion efficiency and the utilization of the vehicles are improved. © 2023 IEEE.

关键词： Artificial Intelligence Automated Guided Vehicle Collaborative control model rule-based decision making shop-floor material handling

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Exploring Deep Learning-Based Visual Localization Techniques 3

Exploring Deep Learning-Based Visual Localization Techniques

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2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： Yu, Zhuoyi Maynooth University International Engineering College Fuzhou University Fuzhou China

ISBN: (纸本)9798350341546

This comprehensive review paper explores the state of the art in visual localization and navigation, drawing on the principles and methodologies of three significant deep learning networks: Visual Localization Network (VLocNet), Deep Fusion Network (DFNet), and Hybrid Frontend Network (HFNet). Each of these networks demonstrates the application of deep learning to spatial awareness and navigation tasks in unique and significant ways. Rather than an exhaustive dissection of these networks, the paper provides an encompassing overview, illuminating their underlying principles, architectural design, and their relative performance within the field. Additionally, the paper delves into the practical implications of these networks, examining their applications in diverse real-world scenarios. It underlines this examination with a comprehensive analysis of existing literature and experimental results, intended to impart a profound understanding of these networks' strengths, limitations, and potential application areas. Ultimately, this review aims to present a valuable compass to researchers navigating the evolving landscape of advancements in visual localization and navigation, thereby fostering enriched understanding and facilitating future exploration and development in this compelling field. © 2023 IEEE.

关键词： Computer vision Deep learning Object recognition robotics Visual localization Convolutional neural networks

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Speaker Recognition in Realistic Scenario Using Multimodal Data 3

Speaker Recognition in Realistic Scenario Using Multimodal D...

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3rd IEEE international conference on Artificial Intelligence, ICAI 2023

作者： Shah, Saqlain Hussain Saeed, Muhammad Saad Nawaz, Shah Yousaf, Muhammad Haroon University of Engineering and Technology Taxila Pakistan Swarm Robotics Lab NCRA Pakistan Deutsches Elektronen-Synchrotron DESY Germany

ISBN: (纸本)9798350322125

In recent years, an association is established between faces and voices of celebrities leveraging large scale audio-visual information from YouTube. The availability of large scale audio-visual datasets is instrumental in developing speaker recognition methods based on standard Convolutional Neural Networks. Thus, the aim of this paper is to leverage large scale audio-visual information to improve speaker recognition task. To achieve this task, we proposed a two-branch network to learn joint representations of faces and voices in a multimodal system. Afterwards, features are extracted from the two-branch network to train a classifier for speaker recognition. We evaluated our proposed framework on a large scale audio-visual dataset named VoxCelebl. Our results show that addition of facial information improved the performance of speaker recognition. Moreover, our results indicate that there is an overlap between face and voice. © 2023 IEEE.

关键词： Large dataset

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Fuzzy Based Intelligent control Strategy to Mitigate Power Quality Issues in an Interconnected PV System 3

Fuzzy Based Intelligent Control Strategy to Mitigate Power Q...

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3rd international conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Farook, S. Hema Sekhar, A. Balaji Nanda Kumar Reddy, K. Kumar, N.M.G. Deepa, S. Mohan Babu University School of Engineering Tirupati India Vemu Institute of Technology Chittoor India Annamacharya Institute of Technology & Sciences Rajampet India Government College of Engineering Department of Physics Salem India

ISBN: (纸本)9798350399264

This study focuses on grid-connected solar PV systems using fuzzy controllers to separate the essential components from load current and produce firing pulses for voltage source converter operation. In order to meet the power demand, need and minimise power quality problems at the common point of coupling, a fuzzy-based MPPT is utilized to modify the duty cycle of the controller under controlled irradiance and ambient temperature circumstances as well as to manage the DC link voltage. The control approach was used to a PV system supplying both linear and non-linear loads that was connected to the grid. The system's harmonic distortions were seen to be in accordance with IEEE-519 specifications. © 2023 IEEE.

关键词： Power quality

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Improved control of virtual synchronous generator under unbalance of grid voltage

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ENERGY REPORTS 2023年 9卷 824-834页

作者： Wen, Chunxue Huang, Yijun Li, Jianlin Wang, Peng Northern Univ Technol Beijing Beijing Power Elect & Elect Drive Engn Res Ctr Energy Storage Technol Engn Res Ctr Beijing 100144 Peoples R China

Asymmetric faults in the power grid will lead to unbalanced grid voltage. When the traditional VSG control operates under unbalanced grid voltage, the output current will be unbalanced, resulting in output power oscillation. This article first establishes a mathematical model for traditional VSG control, and then analyzes the problems that arise when traditional VSG operates under unbalanced voltage in the power grid. The main reason is that there are too many negative sequence components in the system. In response to these issues, this article proposes a positive and negative sequence independent control strategy, which improves the adaptability of VSG under asymmetric faults in the power grid by adding a negative sequence current loop and transient current suppression, and can output different control objectives. The proposed control strategy does not change the VSG characteristics and can operate normally connected to the grid. Finally, the effectiveness of the proposed strategy was verified through MATLAB/simulink simulation. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under theCCBYlicense (http://***/licenses/by/4.0/).

关键词： Virtual synchronous generator Unsymmetrical fault Current unbalance Power oscillation

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Research on Variable Application Method Based on Fuzzy Active Disturbance Rejection control 3

Research on Variable Application Method Based on Fuzzy Activ...

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3rd international conference on Electrical engineering and control Science, IC2ECS 2023

作者： Luo, Yanling Wang, Xingmeng Li, Qinzheng Hu, Yang Yang, Kai Song, Lepeng School of Electrical Engineering Chongqing University of Science and Technology Chongqing China

ISBN: (纸本)9798350382426

In this paper, the variable spray application system is examined as the research object. The control principle of the application system is explored, and its mathematical model is established. The second-order nonlinear ADRC and the model-compensated ADRC are designed for pressure and flow control, respectively. The superiority of these control algorithms is verified in the precision application system. This study also investigates the optimization of ADRC controller parameters for flow compensation using the PSO algorithm and for pressure loop. Simulation results indicate that both the dynamic and static performance, as well as the anti-interference performance of the PSO-ADRC control system, are significantly superior to those of PID control and ADRC control. Experimental results analysis demonstrates that the control of precision application system spray using the PSO-ADRC algorithm outperforms PID and ADRC under various pressure and flow rate conditions. © 2023 IEEE.

关键词： decoupling control Fuzzy-ADRC parameter optimization variable application

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Line-Interactive Transformerless Bidirectional Buck-Boost Uninterruptable Power Supply System With Battery control Algorithm 3

Line-Interactive Transformerless Bidirectional Buck-Boost Un...

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IEEE 3rd international conference on Power engineering Applications (ICPEA) - Shaping Sustainability Through Power engineering Innovation

作者： Rahman, N. F. A. Abdul Sukimin, N. Univ Teknol MARA Coll Engn Sch Elect Engn Shah Alam 40450 Malaysia

ISBN: (纸本)9781665475013

This paper presents integrated control algorithms for a single-phase line-interactive transformerless bidirectional buck-boost Uninterruptable Power Supply (UPS). The control algorithms consist of two battery control algorithms and one dc to ac conversion algorithm. The battery control algorithms are applied to a bidirectional buck-and-boost converter. Additionally, an AC/DC-DC/AC converter employs the dc to ac conversion algorithm. The battery control algorithms utilise two Proportional-Integral (PI) controllers to regulate voltage and current, respectively. In contrast, the dc to ac conversion algorithm applies one PI voltage controller and a bandless hysteresis current controller. The battery reference value is set according to the battery's fully-charged voltage for the battery charging control algorithm. Meanwhile, the dc output voltage is set higher for the battery discharging control algorithm to allow the success of dc to ac conversion by the AC/DC-DC/AC converter. Based on the simulation findings, both independent control algorithms can govern the functioning of both converters in both modes of operation. Consequently, the UPS system can supply sinusoidal voltage and current waveforms with low Total Harmonic Distortion (THD) output.

关键词： Uninterruptible Power Supply (UPS) Buck-Boost Converter Battery control Algorithm

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