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Analysis of voltage loop bandwidth and control delay effects on the stability of VSG grid-connected system

Analysis of voltage loop bandwidth and control delay effects...

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China international electrical and Energy conference (CIEEC)

作者： Haizhen Xu Binglei Lu Xinlin Yin Changzhou Yu Chun Liu Qinglong Wang School of Advanced Manufacturing Engineering Hefei University Hefei China

Virtual synchronous generator (VSG) technology can support grid voltage and frequency, and can keep stable in weak grid conditions, which has a very wide application prospect, and it is crucial to ensure its stability during grid-connected operation. When VSG is connected to the grid, the bandwidth of the internal voltage loop is usually constrained by the system switching frequency and current loop bandwidth, and VSG is implemented by digital control technology, which has common control delay problems, both of which affect the stability and dynamic characteristics of the system. therefore, this paper analyzes the effect of delay time and voltage loop bandwidth on the stable operation of VSG by establishing a state space model of VSG grid-connected system with control delay. Firstly, a complete state space model of VSG grid-connected system is established in this paper. then, with the help of characteristic root trajectories and participation factors analysis, the effects of delay time and voltage loop bandwidth on system are evaluated. the analysis results show that low voltage loop bandwidth and large delay time can reduce the stability and dynamic characteristics of the system, and excessive voltage loop bandwidth can increase oscillation frequency in the system. Finally, simulation results shows the correctness of the theoretical analysis.

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the Reform of the Training Mode of Accounting Professionals in Universities and Colleges Under the Background of Financial Accounting Transformation Under the Background of Big Data 10th

The Reform of the Training Mode of Accounting Professionals ...

引用

10th international conference on Frontier computing, FC 2020

作者： Zhang, Shuyu School of Management College of Science and Technology Ningbo University Heilongjiang Province Suihua City315300 China

ISBN: (纸本)9789811601149

Under the background of the era of big data, the innovation and rapid development of information technology have brought about great changes in accounting theory and practice. the focus of financial accounting personnel has shifted from accounting to internal control, financial analysis and risk management. the change of external environment has put forward higher requirements on the professional knowledge and ability of accounting talents. In addition to accounting knowledge and management knowledge, accounting talents must also have computer operation skills, the ability to design and maintain management information systems, and the ability to use information systems for accounting analysis, prediction and decision-making. Accounting education in colleges and universities, as the main force of training accounting talents, should reform the talent training mode based on the occupational demand, which is the key to training qualified accounting talents under the new environment. Based on the college accounting education mode under the environment of informatization as the research object, combining normative research and empirical research, to find out the accounting profession ability demand and accounting education in colleges and universities personnel training mode exist differences between supply and demand, on the basis of the reform proposals and measures are put forward, provide a reference for accounting education in colleges and universities under the environment of informatization development. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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Increasing the Efficiency of Missile Telemetry Tests by Using Data Compression Techniques

Increasing the Efficiency of Missile Telemetry Tests by Usin...

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international conference on control, engineering & Information Technology (CEIT)

作者： Aslı Sağlam Derya Yılmaz Department of Electrical and Electronics Engineering Institute of Science and Engineering Başkent University Ankara Türkiye Department of Electrical and Electronics Engineering Faculty of Engineering Başkent University Ankara Türkiye

ISBN: (纸本)9781538676424

Telemetry tests conducted for a missile aim to improve ongoing design work in order to better meet the performance requirements. these tests can be performed before/during the qualification stage and the design team can observe the missile's performance via the data collected in these tests. these data packages are transmitted by wireless (radio frequency-RF) communication to a ground station for post-processing. Considering the importance of telemetry tests in affecting the project's work in the design phase, it is important to accomplish them by gathering as much data as possible. this study proposes compressing telemetry data before the transmission process in order to reduce the bandwidth requirement. thus, the study investigates this practice's effects on the RF communication range and the increase in link margin via link budget calculations. Considering the characteristics of missile telemetry data (rate of change, different frame formats, etc.), synthetic telemetry data were generated in accordance with the real-life data structures, then this data were compressed using lossless data compression methods. While investigating the effects of transmitting a data train of decreased bandwidth on RF communication parameters, link budget analysis was conducted while keeping the unrelated RF parameters such as the type of modulation, transmitter/receiver characteristics, antenna properties constant. Results show that different compression algorithms provide variable amounts of improvement in downsizing the telemetry data; thus helping to increase a telemetry flight tests' efficiency for missiles.

关键词： Telemetry Missiles Data compression Radio frequency Bandwidth Dictionaries Transmitters

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Almost periodic solution for a Lotka-Volterra predator-prey system with feedback controls on time scales

Almost periodic solution for a Lotka-Volterra predator-prey ...

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2018 6th international conference on Machinery,Materials and computing Technology(ICMMCT 2018)

作者： Qingshui Liao Guizhou Normal University

By applying the theory of inequality on time scales and the Lyapunov function method, we obtain some sufficient conditions which guarantee the permanence and existence of a unique uniformly asymptotically stable almos... 详细信息

关键词： Lotka-Volterra system Feedback control Almost periodic solution Time scales

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the Realization of Fuzzy PID Algorithm in Air Conditioning control System

The Realization of Fuzzy PID Algorithm in Air Conditioning C...

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2018 6th international conference on Machinery,Materials and computing Technology(ICMMCT 2018)

作者： Zhao Wei Li Fangyun Ge Jing Institute of Technology East China Jiaotong University

the application of fuzzy PID algorithm in air conditioning control system not only offers the latter a chance to adjust parameters intelligently, but also helps to get the capability of intelligent frequency modulatio... 详细信息

关键词： air conditioning control system fuzzy algorithm PID controller

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A Robust Guaranteed Cost Formation control for a Class of Uncertain Multi-Agent Systems for Event-Trigger-Based Variable Gain controllers

A Robust Guaranteed Cost Formation Control for a Class of Un...

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international conference on electrical, control and Instrumentation engineering (ICECIE)

作者： Daiki Asada Hidetoshi Oya Shunya Nagai Yoshikatsu Hoshi Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan The Department of Computer Science Tokyo City University Tokyo Japan Department of Electronics and Control Engineering National Institute of Technology (KOSEN) Niihama College Ehime Japan

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

In this paper, we propose a design method for a new event-trigger-based variable gain robust controller which achieves both consensus and guaranteed cost performance for a class of uncertain multi-agent systems (MASs) with the leader-follower structure. the proposed variable gain robust controller is composed of stabilizing state feedback laws, state feedback inputs for consensus, and compensation inputs with adjustable parameters, and is designed for giving consideration to relative positions explicitly. In this paper, we show that sufficient conditions for the existence of the proposed robust guaranteed cost formation controller are given in terms of Linear Matrix Inequalities (LMIs). Finally, a simple example is included.

关键词： Sufficient conditions State feedback Costs Uncertainty Design methodology Formation control Linear matrix inequalities Gain Output feedback Multi-agent systems

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Study on the over-advance angle weakening control of inverted salient pole leakage controllable PMSM

Study on the over-advance angle weakening control of inverte...

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IEEE Student conference on Electric Machines and Systems

作者： Zhiguo Huang Xiping Liu Wenliang Hu Zhigang Hu Ruiheng Zhang Zihao Shi School of Electrical Engineering and Automation Jiangxi University of Science and Technology Jiangxi China

the mathematical model for this new motor type is derived based on the inverted salient pole feature of the inductance in the straight axis of the inverted salient pole leakage magnetically controllable permanent magnet synchronous motor, which is larger than the cross-axis inductance, and the controllable leakage magnetism of the straight axis. According to current trajectory characteristics, weak magnetic areas in the inverted salient pole leakage controllable permanent magnet synchronous motor are distributed in both the magnetizing area and the weak magnetic area of the second quadrant of the intersecting straight axis. Designing an appropriate initial weak magnetic angle and combining it with the voltage error-derived over-advance angle allows for weak magnetic control of the aforementioned areas. Furthermore, adjusting the orthogonal axis current component also contributes to effective weak magnetic control. Technical abbreviations will be explained when first used. After conducting a Simulink simulation, the results align with the theoretical analysis, confirming the validity and feasibility of implementing the inverse convex pole leakage controlled permanent magnet synchronous motor’s weak magnetism over-advance angle.

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Free matroidal structure of covering-based rough sets

Free matroidal structure of covering-based rough sets

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international conference on Computer sciences and Convergence Information Technology (ICCIT)

作者： Chengyi Yu Fan Min William Zhu Laboratory of Granular Computing Department of Mathematics and Information Science Zhangzhou Normal University Zhangzhou China Laboratory of Granular Computing Zhangzhou Normal University Zhangzhou China

Matroids were defined as abstract generation of graphs and matrices to try to capture abstractly essence of (in)dependence, it has wide application in electrical and computer science, mechanical engineering. Rough set theory is a new tool to deal with various types of data, covering-based rough set is a generalization of traditional rough set theory. this paper concerns the relationships between covering-based rough sets and matroid. Firstly, we establish the free matroidal structure of covering-based rough sets. Any subset of a universe can generate a free matroid, therefore any covering of a universe can be characterized by a family of free matroids. On the other hand, a family of free matroids can be used to generate a covering. Secondly, reducible element is to remove the redundant element in covering-based rough sets, reducible matroid is to remove redundant matroid in a family of matroids. We mainly research the relationship between reducible element and the reducible matroid in the family of free matroids induced by covering. Actually they are equivalent, the reducible element of a covering is always consistent with the reducible matroid induced by the covering. these results enrich covering-based rough set theory and matroid theory.

关键词： Rough sets Educational institutions Approximation methods Machine learning

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Reliability Prediction Based on SVR and Improved SCSO

Reliability Prediction Based on SVR and Improved SCSO

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international conference on Computer Network, Electronic and automation (ICCNEA)

作者： Xiaojun Bai Hongyue Liu Gong Meng School of Computer Science and Engineering Xi’an Technological University Xi’an China Beijing Aerospace Automatic Control Institution Beijing China

Reliability prediction can provide basis for the identification of potential improvement area, cost control, and mission reliability assessment, etc. However, for complex equipment, there are many reliability influencing factors and incomplete knowledge of failure causes, which lead to a significant disparity between the predicted outcomes and the real values for traditional reliability prediction methods. To address the above issues, this research paper introduces an approach that utilizes the Support Vector Regression (SVR) model and Sand Cat Swarm Optimization (SCSO). To begin with, the sliding window technique is employed on the historical reliability data to generate time series samples, with the 5 adjacent data as sample data, and the sixth as label of the sample, and train SVR model on these samples; Second, the SVR model parameters are optimized using the ISCSO algorithm to obtain the optimal combination of parameters. In the testing stage, firstly, historical reliability data was used to predicted future data by the model, and the predicted data are then added to the sequence to form new samples, thus old data are discarded and new data are predicted continuously to realize continuous reliability prediction. Finally, the algorithm proposed in this paper is validated on a diesel engine reliability dataset. the algorithm proposed in this paper demonstrates its superiority through the Normalized Root Mean Squared Error (NRMSE) evaluation. the NRMSE of SVR-ISCSO is 8.86E-05, showcasing a remarkable 99.24% year-on-year decrease compared to the standard SVR. Additionally, it exhibits a 5.86% year-on-year decrease compared to SVR-SCSO, further validating the effectiveness of the proposed algorithm.

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Rotating Machinery Bearing Fault Diagnosis via Transfer Learning Based on Subdomain Adaptation

Rotating Machinery Bearing Fault Diagnosis via Transfer Lear...

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international conference on control, automation and Information sciences (ICCAIS)

作者： Nguyen thi Hue Vu Manh Khoi Dang Nhat Duc Dao Duc thinh Tran thi thao Hoang Si Hong School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Vietnam

Rotating machinery (RM) is utilized extensively in various industrial applications, primarily due to its dependable operation is essential for optimizing productivity and preventing costly downtime. Accurate and early bearing fault diagnosis in RM is crucial to prevent machinery breakdown and maintain optimal performance. In this study, we propose a novel method for rotating machinery bearing fault diagnosis based on transfer learning with subdomain adaptation. Our method leverages the knowledge acquired from a source domain that contains labeled data for both healthy and faulty conditions. By transferring this knowledge to a target domain with labeled data limitation, our approach addresses the scarcity of labeled data in the target domain. We specifically focus on adapting the domain shift by computing the discrepancy between the source and target domains through subdomain adaptation. To validate the effectiveness of our proposed approach, extensive experiments were carried out on a large-scale CWRU dataset that encompasses various bearing operation conditions. the experimental outcomes reveal that our transfer learning-based fault diagnosis method achieves 93.8% to 100.0% in diagnostic accuracy and outperforms conventional methods.

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