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2023 IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023

作者： Chavan, Akshay Schmidt, Antonius Klopries, Hendrik Aufderheide, Dominik Faculty of Electrical Engineering Soest Germany South Westphalia University of Applied Sciences Automation Technology and Learning Systems Faculty of Electrical Engineering Soest Germany

ISBN: (纸本)9781665474924

Many applications in the field of bulk material handling require the determination of the Particle Size Distribution (PSD) of the handled materials. Typically, this can only be achieved by manual sampling and a subsequent laboratory analysis. However, the availability of novel image segmentation algorithms based on Convolutional Neural Networks (CNNs) leads to the possibility for an implementation of visual PSD estimation techniques. One prominent example of such approaches is the U-Net image segmentation architecture. However, one fundamental problem for the training of the underlying CNN is the difficulty to gather ground truth data, since the exact correspondence between a set of images and the underlying particle sizes cannot be achieved in practice. This paper introduces a novel synthetic image generation procedure for the visual PSD estimation by using the U-NET structure. The overall approach is validated and verified by using a prototypic implementation of a U-NET segmentation pipeline. It is shown, that the proposed synthetic image dataset generation can be applied for all visual PSD estimation based on machine learning algorithms. © 2023 IEEE.

关键词： Particle size analysis

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Non-Fragile Consensus Strategy for Variable Fractional-Order Multi-Agent systems Based on Disturbance Observer

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IEEE Transactions on Control of Network systems 2025年第2期12卷 1709-1720页

作者： Chen, Liping Liu, Chuang Lopes, Antonio M. Zhang, Zhiqiang Chen, YangQuan Hefei University of Technology School of Electrical Engineering and Automation Hefei230009 China University of Porto LAETA INEGI Faculty of Engineering Porto4200-465 Portugal University of California Lab of Mechatronics Embedded Systems and Automation Lab MercedCA95343 United States

This paper proposes non-fragile leader-follower consensus control for variable fractional-order multi-agent systems under disturbance generated by an exogenous system. The developed technique is directly applicable to fixed fractional-order and to integer-order multi-agent systems. Firstly, a non-fragile variable fractional-order disturbance observer is introduced, which is able to tolerate a certain degree of parameter uncertainty. Secondly, by employing the disturbance observer, a novel robust non-fragile consensus control scheme is developed, which not only ensures asymptotic stability of the consensus error system, but also accommodates parameter uncertainty in the physical controller's implementation. Thirdly, new sufficient conditions for the desired consensus protocol are derived using linear matrix inequalities (LMIs), as well as graph and Lyapunov theory. Finally, simulation examples are presented to illustrate the validity of the theoretical results. The proposed order-dependent LMI condition is less conservative than existing order-independent alternatives. © 2014 IEEE.

关键词： Multi agent systems

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Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration 12

Optimizing Maximum Profit for Electric Vehicle Users in a Bi...

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12th International electrical engineering Congress, iEECON 2024

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Pathumwan Institute Of Technology Industrial Technology And Innovation Management Faculty Of Science And Technology Bangkok Thailand Bansomdejchaopraya Rajabhat University Electrical Engineering And Automation Control Systems Faculty Of Engineering And Industrial Technology Bangkok Thailand Rajamangala University Of Technology Thanyaburi Faculty Of Engineering Department Of Electrical Engineering Pathumthani Thailand

ISBN: (纸本)9798350383591

This article delves into the synergistic potential of integrating Bipolar DC distribution grids, Probabilistic EV load demand forecasting, and Vehicle-to-Grid (V2G) technology. It offers a blueprint for electric vehicle (EV) users to smartly improve their financial results. Through the amalgamation of these components, individuals who possess electric vehicles have the potential to mitigate their energy expenditures while concurrently generating additional income. The study reveals that the integration of EV into the distribution system can lead to a substantial increase in daily energy loss, reaching up to 25.91%. However, when V2G technology is employed within the distribution grid, it has the remarkable capability to mitigate this increase in daily energy loss significantly, achieving a reduction of up to 64.12%. © 2024 IEEE.

关键词： Integration

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Stability and bifurcation analysis of delayed tri-trophic food chain model in poisoned environment with fear effect and additional food

Stability and bifurcation analysis of delayed tri-trophic fo...

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作者： Ramasamy, Sivasamy Banjerdpongchai, David Park, PooGyeon Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Electrical Engineering Pohang University of Science and Technology Pohang Korea Republic of

One of the most important goals of theoretical ecologists is to find a strategy for controlling the chaos in ecological models to maintain healthy ecosystems. We investigate the influence of fear and the supply of additional food to predators in a delayed tri-trophic food chain model, where interference among the species is determined by Holling type-II functional response. The proposed model incorporates the fact that the growth rates of prey and middle predators are decreased due to the fear of middle and special predators, respectively. The additional food is supplied to both predators by either nature or external agencies. Furthermore, the poisoned prey in the predator's environment is taken into account. In the proposed model, we use two time delays: one for the growth term of the middle predator and another for the gestation delay of the special predator. We determine the conditions for the existence of ecologically feasible equilibrium points and their local and global stability. In addition, we establish the conditions for the existence of Hopf bifurcation around interior equilibrium to seek periodic behavior in nondelayed and delayed models. Numerical investigations are performed to justify the proposed theoretical findings through phase portraits, time series of solutions, and bifurcation diagrams. We observe that the chaotic dynamics of a tri-trophic food chain model can be controlled by the proper choice of the fear effect and by supplying additional food parameters. As a result, our findings provide more ecological insights into the dynamics of the delayed tri-trophic food chain model with the fear effect and additional food supply. © 2023 John Wiley & Sons, Ltd.

关键词： Hopf bifurcation

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Speed Profile Optimization for Autonomous Electric Bus in Urban Area: Based on Service Route Parameter in Thailand

Speed Profile Optimization for Autonomous Electric Bus in Ur...

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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Muankhaw, Theerapol Pathumwan Institute of Technology Faculty of Science and Technology Industrial Technology and Innovation Management Bangkok Thailand Bansomdejchaopraya Rajabhat University Faculty of Engineering and Industrial Technology Electrical Engineering and Automation Control Systems Bangkok Thailand Rajamangala University of Technology Faculty of Engineering Department of Electrical Engineering Thanyaburi Pathumthani Thailand

ISBN: (纸本)9798350344585

This study conducts a comprehensive analysis of optimizing the speed profile of an AE-bus, a critical step in enhancing its operational efficiency. It encompasses three distinct case studies, each targeting specific objectives. The first case emphasizes energy consumption reduction, contributing to overall resource efficiency. The second focuses on eco-conscious speed profiles within predefined travel durations, balancing environmental sustainability and timeliness. The third case prioritizes travel time minimization for streamlined efficiency. Detailed insights into speed adjustments, bus positions, and energy consumption patterns are provided for each case. The findings reveal tailored approaches for energy conservation, speed, and travel time optimization. Additionally, emissions analysis demonstrates that electric buses significantly reduce CO2 emissions compared to conventional NGV buses, showcasing their potential for environmental benefits. © 2023 IEEE.

关键词： Electric buses

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Event-Triggered Moving Block Train Platooning Scheme Under Communication Loss Constraint 4

Event-Triggered Moving Block Train Platooning Scheme Under C...

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4th International Conference on Robotics, automation, and Artificial Intelligence, RAAI 2024

作者： Chandra, Jonathan Tamba, Tua A. Christian, Raymond Parahyangan Catholic University Center for Control Automation and Systems Engineering Faculty of Engineering Technology Dept. of Electrical Engineering Bandung Indonesia

ISBN: (纸本)9798331520038

This paper addresses the challenges of efficient coordination and safety assurance of moving block train platooning system. Conventional railway signaling method which relies on static block systems often fail to adapt to high frequency scenarios and thereby limiting the railway system's operational flexibility and scalability. The moving block signaling approach through communication-based train control (CBTC) technology has recently been proposed and viewed as a potential solution alternative to address such limitations. To enhance railway system opearational performance and safety, this paper proposes a control strategy combining sliding mode control (SMC) and event-triggered control (ETC) for a multi-agent system representation of train convoy operating under moving block signaling scheme. The proposed SMC is used to ensure robust tracking and coordination of the train convoy in the presence of inter-train communication loss, while ETC scheme is used to minimize communication and computation overhead in each train by updating the individual train's control actions only when deemed necessary. The proposed approach improves coordination, safety, and resource efficiency within complex, multi-agent train systems. Simulation results demonstrate the effectiveness of the combined control strategy in maintaining inter-train spacing even when data transmission loss/drop occur on several time instances. © 2024 IEEE.

关键词： Signaling

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Stable and Safe Navigation Scheme for Mobile Robots Under Moving Obstacle Presence 4

Stable and Safe Navigation Scheme for Mobile Robots Under Mo...

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4th International Conference on Robotics, automation, and Artificial Intelligence, RAAI 2024

作者： Gunarso, Michael A. Tamba, Tua A. Faculty of Engineering Technology Parahyangan Catholic University Center for Control Automation and Systems Engineering Dept. of Electrical Engineering Bandung Indonesia

ISBN: (纸本)9798331520038

This paper reports a controller design methodology for a differential drive wheeled mobile robot (DDWMR) model which considers both safety and stability properties of the robot's operation. The proposed methodology first constructs a stabilizing controller using Control Lyapunov Function (CLF) concept and then generates a polynomial function-type reference trajectory to seamlessly connect the initial and final poses of the DDWMR. Subsequently, a Control Barrier Function (CBF) based scheme is used to ensure the safety of the DDWMR movement in avoiding moving obstacles while driving on the constructed reference trajectory. By the proposed CLF-CBF integration, the proposed approach offers an efficient solution for autonomous navigation of DDWMR in the presence of moving obstacles while also addresses the challenges posed by its nonholonomic constraint. The effectiveness of the proposed approach is shown through simulations which demonstrate the robot's ability to perform safe and stable collision-free movement and navigation. © 2024 IEEE.

关键词： Mobile robots

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Development and Techno-Economic Analysis of Solar Power Plant Projects in Vietnam 7

Development and Techno-Economic Analysis of Solar Power Plan...

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7th International Youth Conference on Radio Electronics, electrical and Power engineering, REEPE 2025

作者： Pham, Nam H. Kuznetsov, Oleg N. Doan, Canh T. Electrical Power Systems Department National Research University 'MPEI' Moscow Russia Department of Relay Protection and Automation of Energy Systems National Research University 'MPEI' Moscow Russia Institute of Engineering and Technology Vinh University Department of Electrical and Electronic Engineering Technology Viet Nam Hong Duc University Faculty of Engineering and Technology Viet Nam

ISBN: (纸本)9798331531836

As global energy demand continues to rise, concerns about climate change, environmental issues, and the depletion of fossil fuel resources require a careful consideration of the use of renewable energy, including solar energy. Vietnam's solar power plant (SPP) capacity has expanded considerably in recent years. However, technical and economic calculations for large-scale solar power plants and comparisons with other power plants are still limited. In this paper, the technical and economic aspects of solar power plants will be evaluated, with key economic indicators such as net present value (NPV), levelized cost of energy (LCOE), internal rate of return (IRR), benefit-cost ratio (BCR), and payback period (PB) being analyzed for both current and future scenarios. The results show that all power plants are economically effective. Furthermore, with investment costs for solar power plants decreasing rapidly, solar power plants will have high economic efficiency in the future. The useful information for investing and developing renewable energy policies in Vietnam is also presented in this paper. © 2025 IEEE.

关键词： Solar fuels

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Impact of High Photovoltaic Penetration on the Voltage Stability of Vietnam's Power System 7

Impact of High Photovoltaic Penetration on the Voltage Stabi...

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7th International Youth Conference on Radio Electronics, electrical and Power engineering, REEPE 2025

作者： Pham, Nam H. Kuzetsov, Oleg N. Doan, Canh T. National Research University 'MPEI' Electrical Power Systems Department Moscow Russia Institute of Engineering and Technology Vinh University Department of Electrical and Electronic Engineering Technology Viet Nam National Research University 'MPEI' Department of Relay Protection and Automation of Energy Systems Moscow Russia Hong Duc University Faculty of Engineering and Technology Viet Nam

ISBN: (纸本)9798331531836

Photovoltaics (PV) play an essential role in energy networks by promoting clean, sustainable energy and reducing reliance on fossil fuels. However, their operational characteristics introduce new challenges, particularly concerning grid reliability and voltage stability. In this paper, the impact of solar photovoltaic plant (SPP) penetration on voltage behavior in the central region of Vietnam is examined using dynamic models at different integration levels, ranging from 0% to 40%. The results reveal that while low SPP penetration has minimal effects, high penetration levels (30% and 40%) significantly reduce reactive power support, exacerbating voltage collapse risks. These findings underscore the necessity for advanced voltage and reactive power control strategies to ensure grid stability in high-SPP scenarios. © 2025 IEEE.

关键词： Electric power transmission networks

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When LoRa meets distributed machine learning to optimize the network connectivity for green and intelligent transportation system

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Green Energy and Intelligent Transportation 2024年第3期3卷 24-41页

作者： Malak Abid Ali Khan Hongbin Ma Arshad Farhad Asad Mujeeb Imran Khan Mirani Muhammad Hamza National Key Lab of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Computer Science Namal UniversityPakistan Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China

LoRa technology contributes to green energy by enabling efficient,long-range communication for the Internet of Things(IoT).This paper addresses the challenges related to coverage range in outdoor monitoring systems utilizing LoRa,where the network performance is affected by the density of gateways(GWs)and end devices(EDs),as well as environmental *** mitigate interference,data throughput losses,and high-power consumption,the proposed spreading factor(SF)and hybrid(data rate|SF)models dynamically adjust the transmission *** orchestration of concurrent data modifications within the network server(NS)is crucial for uninterrupted communication between GWs and EDs,especially in monitoring electric vehicle(EV)stations to reduce traffic congestion and *** K-means and density-based spatial clustering of applications with noise(DBSCAN)algorithms optimizes ED allocation,averts data congestion,and improves the signal-tointerference noise ratio(SINR).These methods ensure seamless information reception by meticulously allocated EDs across various GW *** estimate the free-space losses(FSL),a log-distance path loss model(log-PL)is *** various bandwidths(BWs),bidirectional communications,and duty cycles(DCs)helps to prevent saturation,thus prolonging the operational lifespan of *** findings reveal a notable packet rejection rate(PRR)of 0%for the DBSCAN(hybrid model).In contrast,the K-means exhibits a PRR ranging from 5%(hybrid model)to 35.29%(SF model)for the ten GWs ***,the network saturation is reduced to 10.185%and 9.503%,respectively,highlighting an improvement in the average efficiency of slotted ALOHA(91.1%)and pure ALOHA(90.7%).These enhancements increase the lifespan of EDs to 15,465.27 days.

关键词： DBSCAN Green transportation Hybrid model Intelligent transportation K-means

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