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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Zhang, Kai Liu, Hanyu Sun, Kai Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering China

ISBN: (纸本)9798350351330

LCC converters incorporate the stray parameters of high frequency transformer and are commonly employed as the initial stage of high-voltage DC power supplies, enhancing both efficiency and power density. However, the significant overshoot that occurs during the startup phase of high-voltage DC power supply poses considerable difficulties for the circuit. In this article, a simple open-loop soft startup control method is proposed: First, the operation mode analysis method is used to accurately solve the time-domain model of the LCC converter under different duty cycles in continuous current mode (CCM). Second, an open-loop variable duty cycle soft startup control strategy from the energy transmitted view is derived. Finally, soft startup process corresponding to different startup time requirements are verified on a 200V/20kV experimental prototype. © 2024 IEEE.

关键词： Time domain analysis

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Impact of Routing on EMI Resilience in High-Speed Digital PCBs: A Time-Domain Analysis

Impact of Routing on EMI Resilience in High-Speed Digital PC...

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2024 International Ural Conference on Electrical Power engineering, UralCon 2024

作者： Murmansky, Mikhail S. Kuzmin, Nikita O. Zabolotsky, Alexander M. Tomsk State University of Control System and Radioelectronic Department of Television and Control Tomsk Russia Tomsk State University of Control System and Radioelectronic Research Laboratory of 'Safety and Electromagnetic Compatibility of Radioelectronic Facilities' Tomsk Russia Tomsk State University of Control System and Radioelectronic Department of Ultra High Frequency and Quantum Radio Engineering Tomsk Russia

ISBN: (纸本)9798350386028

This paper investigates the electromagnetic interference (EMI) resilience of various microstrip transmission line (MSL) routing schemes commonly used in high-speed digital applications. The study focuses on minimizing crosstalk and enhancing signal integrity by optimizing the geometry and coupling between conductors. Traditional routing methods like meander and spiral configurations are compared against a novel scheme characterized by increased spacing between conductor turns. This proposed scheme allows for component placement beneath the transmission lines, potentially reducing overall printed circuit board (PCB) size. Quasi-static simulations are conducted using the TALGAT environment to evaluate the time-domain response of the different routing schemes to a Gaussian pulse excitation with frequencies ranging from 0 to 6 GHz. N-norms are employed to quantify the pulse characteristics and assess their potential impact on circuit performance and reliability. The results demonstrate that the meander configuration exhibits the lowest level of crosstalk, while spiral configurations show higher crosstalk, especially at high trace densities. Increasing the spacing between conductor turns in the proposed scheme effectively reduces crosstalk and enables modal decomposition, leading to a more desirable signal response. © 2024 IEEE.

关键词： Crosstalk

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A Study on Electromagnetic Field Analysis Considering Geometry Variation Using Physics-Informed Neural Network 26

A Study on Electromagnetic Field Analysis Considering Geomet...

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26th International Conference on Electrical Machines and systems, ICEMS 2023

作者： Han, Ji-Hoon Choi, Eui-Jin Hong, Sun-Ki Hoseo University Department of Information Control Engineering Asan Korea Republic of Hoseo University Department of System and Control Engineering Asan Korea Republic of

ISBN: (纸本)9798350317589

The problem with finite element analysis is that each analysis is run separately, so any variation in geometry requires a new analysis. When performing finite element analysis for generating fault diagnosis data, the frequent geometry variations that occur to consider numerous fault levels lead to a long time. In this paper, to solve these problems, an analysis using a physics-informed neural network is proposed to solve the differential equation that was solved by a numerical method using a neural network. Transfer learning is used, which enables fast analysis based on the analysis experience before the geometry is varied. In addition, nonlinear magnetic material characteristics and electronic systems in the saturated region are analyzed to evaluate whether the physics-informed neural network can cope with some numerical analysis problem. © 2023 IEEE.

关键词： Finite element method

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Greenhouse monitoring system based on PLC and wireless sensors 24

Greenhouse monitoring system based on PLC and wireless senso...

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24th International Conference on control systems and Computer Science, CSCS 2023

作者： Dumitrascu, Alexandru University Politehnica of Bucharest Department of Automatic Control and System Engineering Bucharest Romania

ISBN: (纸本)9798350313390

The modern monitoring and control systems that are currently used in most fields are based on intelligent algorithms, distributed management systems, and a new generation of communication buses. For the monitoring and control of the processes inside a greenhouse, the use of sophisticated algorithms or complex devices is not required. However, in order to make the activity more efficient and increase the production of a greenhouse, a proposed solution is to use data management and control devices such as PLCs, and the data acquired from the greenhouse to be retrieved by means of sensors connected to nodes with wireless transmission. The wireless communication variant proved to be the most efficient, in the greenhouse environment being an increased humidity due to the irrigation process of the plants. Also, the need for space for the plants requires giving up the wires drawn through the greenhouse. © 2023 IEEE.

关键词： Greenhouses

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Modeling and Simulation of Electric Vehicle Driveline 18

Modeling and Simulation of Electric Vehicle Driveline

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18th Iberian Conference on Information systems and Technologies, CISTI 2023

作者： Rus, Cosmin Leba, Monica Risteiu, Marius Nicolae Marcus, Razvan University of Petrosani UPET Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9789893347928

Electric vehicle drivetrain modeling and simulation is a crucial aspect of electric vehicle design and development. A driveline is responsible for transferring power from the motor to the wheels, and the modeling and simulation process helps optimize the drivetrain design for efficiency, performance and safety. This paper presents in an extended manner the design and mathematical modeling of a dynamic transmission system of an electric vehicle. The mathematical model was simulated in Matlab Simulink and the obtained results were the basis of the implementation of the entire system in a small vehicle with offroad capabilities. This work is part of a larger project that has as its objective the creation of a complete electric vehicle starting from the design part and up to the testing on the roads. © 2023 ITMA.

关键词： Electric vehicles

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Quadruped Stanford Pupper Type Robot Modeling and Simulation 18

Quadruped Stanford Pupper Type Robot Modeling and Simulation

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18th Iberian Conference on Information systems and Technologies, CISTI 2023

作者： Mija, Nelu Leba, Monica Rus, Cosmin Muntean, Emanuel University of Petrosani UPET Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9789893347928

Nowadays there are many research efforts in the field of artificial intelligence applied in all the fields of robotics. There are developed and trained new models both supervised and unsupervised learning. ln order to be able to get a reliable final product, a very important step is modeling and simulation. This paper focuses on the analysis of a quadruped robot, Stanford Pupper type, for which the mathematical model for the locomotor system was developed in order to be then implemented in a simulator that allows the development of machine learning algorithms for training it. There can be implemented in the simulator various use cases, like: learning to walk both supervised and unsupervised scenarios, learning to navigate on a zone with uneven surface and with small obstacles, or learning to climb stairs or other big obstacles. © 2023 ITMA.

关键词： Musculoskeletal system

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Characteristics of controlled Bridge Circuit and Its Application in Magnetic Field Induction Measurement

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Tsinghua Science and Technology 2024年第4期29卷 1105-1117页

作者： Yanchu Li Qingqing Ding Mingchen Yan Jiyao Wang Jun Xu Xinzhou Dong Department of Electrical Engineering Tsinghua UniversityBeijing 100084China State Key Laboratory of Control and Simulation of Power System and Generation Equipments Tsinghua UniversityBeijing 100084China School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 100096China

The article designs a new type of bridge circuit with a controlled source—when the resistance on the bridge arm of the controlled source bridge circuit meets the bridge balance condition, and the bridge branch contains only one Current-controlled Current Source (CCCS), a Voltage-controlled Current Source (VCCS), a Current-controlled Voltage Source (CCVS), or a Voltage-controlled Voltage Source (VCVS), the circuit is called a controlled bridge circuit, which has the characteristics of bridge balance. Due to the relationship between the controlled source and the bridge arm, the sensitivity of the components on the bridge is higher mathematically and logically. When applied to measurement, engineering, automatic control, and other fields, the controlled bridge circuit has higher control ac-curacy. Mathematical derivation and simulation results prove the correctness of the bridge balance conclusion and the special properties of this bridge when applied to the measurement field.

关键词： bridge bircuit bridge circuit applications bridge balanced condition controlled bridge circuit magnetic field induction measurement

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A Modulation Scheme of CLLC Converters for Bidirectional Power Transfer with Reduced Switching Frequency Range

A Modulation Scheme of CLLC Converters for Bidirectional Pow...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Wang, Leheng Chen, Huan Sun, Kai Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing China

ISBN: (纸本)9798350376067

CLLC converters are broadly used in battery energy storage systems (BESS), where the capabilities of bidirectional operation and voltage regulation are desired. In the existing bidirectional power transfer scheme, pulse frequency modulation (PFM) is used to realize the reciprocal gain of forward and backward directions. It leads to not only large frequency modulation range but also asymmetric transfer characteristics. In this paper, a novel modulation scheme of CLLC converters for bidirectional power transfer is proposed. In the proposed backward power transfer scheme, the driving signals of primary and secondary-side switches are aligned at the falling-edge, which brings about symmetrical characteristics as forward scheme. This symmetry further ensures the identical switching frequency in both directions, which simplifies parameter design, minimizes switching frequency range, and improves efficiency. A 10-kW prototype is built and the experimental results validate the effectiveness of the proposed scheme, offering potential for cost-effective and efficient applications. © 2024 IEEE.

关键词： Switching frequency

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Optimal Scheduling of Active-Reactive Power for PV-BES system Considering Voltage Support and Frequency Regulation 50

Optimal Scheduling of Active-Reactive Power for PV-BES Syste...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Zhang, Jiamei Sun, Kai Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (纸本)9781665464543

The voltage support capability of renewable resources (RES) is emphasized by grid codes for stable and secure operation faced with grid faults. However, there is another problem occurs when the penetration of RES is boosting. The capability occupation due to injected power for voltage support leads to the decrease of output power for loads, which may result in frequency issues when the inertia of the system decreases. To guarantee the voltage and frequency security during fault ride through (FRT) process, this paper proposes an optimal scheduling scheme for PV-BES system considering voltage support and frequency regulation. In the optimal model, in order to map the voltage and frequency constraints into power constraints, the evaluation model of required injected power for voltage support is formulated firstly. Based on center of inertia theorem and time scale characteristics of FRT, the frequency deviation is represented by distributed generator (DG) adjustment. The voltage and frequency constraint are incorporated into the optimal scheduling model and the quasi-steady-state of the PV-BES system during FRT can be analyzed. The proposed method is fully tested, and the results demonstrate that with the proposed method, the voltage and frequency security can be well guaranteed. © 2024 IEEE.

关键词： Renewable energy

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Cognitive Navigation for Intelligent Mobile Robots:A Learning-Based Approach With Topological Memory Configuration

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1933-1943页

作者： Qiming Liu Xinru Cui Zhe Liu Hesheng Wang Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China MoE Key Laboratory of Artificial Intelligence AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of EducationKey Laboratory of Marine Intelligent Equipment and System of Ministry of EducationShanghai Engineering Research Center of Intelligent Control and ManagementShanghai Jiao Tong UniversityShanghai 200240China

Autonomous navigation for intelligent mobile robots has gained significant attention,with a focus on enabling robots to generate reliable policies based on maintenance of spatial *** this paper,we propose a learning-based visual navigation pipeline that uses topological maps as memory *** introduce a unique online topology construction approach that fuses odometry pose estimation and perceptual similarity *** tackles the issues of topological node redundancy and incorrect edge connections,which stem from the distribution gap between the spatial and perceptual ***,we propose a differentiable graph extraction structure,the topology multi-factor transformer(TMFT).This structure utilizes graph neural networks to integrate global memory and incorporates a multi-factor attention mechanism to underscore elements closely related to relevant target cues for policy *** from photorealistic simulations on image-goal navigation tasks highlight the superior navigation performance of our proposed pipeline compared to existing memory *** validation through behavior visualization,interpretability tests,and real-world deployment further underscore the adapt-ability and efficacy of our method.

关键词： Graph neural networks(GNNs) spatial memory topological map visual navigation

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