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Asian control Conference

作者： Hyeon Bae Sungshin Kim Jong-Il Bae School of Electrical and Computer Engineering Georgia Institute of Technology GA USA School of Electrical Engineering Pusan National University Busan South Korea Division of Electrical and Control Engineering Pukyong National University Busan South Korea

ISBN: (纸本)9781424454402

The turn-to-turn short is one major fault of the motor faults of BLDC motors and can appear frequently. When the fault happens, the motor can be operated without breakdown, but it is necessary to maintain the motor for continuous working. In past research, several methods have been applied to detect winding faults. The representative approaches have been focusing on current signals, which can give important information to extract features and to detect faults. In this study, current sensors were installed to measure signals for fault detection of BLDC motors. In this study, the Park's vector method was used to extract the features and to isolate the faults from the current measured by sensors. Because this method can consider the three-phase current values, it is useful to detect features from one-phase and three-phase faults. After extracting two-dimensional features, the final feature was generated by using the two-dimensional values using the distance equation. The values were used in fuzzy similarity to isolate the faults. Fuzzy similarity is an available tool to diagnose the fault without model generation and the fault was converted to the percentage value that can be considered as possibility of the fault.

关键词： Electrical fault detection Fault diagnosis Machine windings Electric machines Fault detection Feature extraction Brushless DC motors Data mining computer vision Current measurement

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A Maximum Power Point Tracking control Method for Wind Turbines With Uncertainties Based on Fully Actuated System Theory

A Maximum Power Point Tracking Control Method for Wind Turbi...

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Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Yuhan Xu Zelong Wu Le Wei Ying Zhang Fang Fang School of Control and Computer Engineering North China Electric Power University Beijing P. R. China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen P. R. China

In this paper, the maximum power point tracking (MPPT) control problem for wind turbine systems with multi-uncertainties is considered. A tracking controller of optimal tip speed ratio is proposed based on fully actuated system (FAS) approach. First, the dynamics of wind turbines in the region below rated wind speed is represented in FAS model. Then, with the analysis of multi-uncertainties in operation of wind turbines, an extended state observer (ESO) is designed to estimate the uncertainties. A controller with uncertainty-compensation ability is proposed based on FAS theory to obtain a closed-loop tracking system of rotor speed with fully actuated characteristics. Theorems are given to show the advantages on stability analysis, parameters selection under constraints and engineering regulation of FAS approach in MPPT control of wind turbines. Finally, an example of 5MW wind turbine of NREL is given for simulation. The results indicate the effectiveness of the proposed approach for MPPT control.

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SPARSE REPRESENTATIONS OF DYNAMICAL NETWORKS: A COPRIME FACTORIZATION APPROACH

arXiv

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arXiv 2022年

作者： Sabău, Serban Sperila, Andrei Oara, Cristian Jadbabaie, Ali Electrical and Computer Engineering Department Stevens Institute of Technology HobokenNJ07030 United States Faculty of Automatic Control and Computers "Politehnica" University of Bucharest Sector 6 060042 Romania CambridgeMA02139 United States

We study a class of dynamical networks modeled by linear and time-invariant systems which are described by state-space realizations. For these networks, we investigate the relations between various types of factorizations which preserve the structure of their component subsystems’ interconnection. In doing so, we provide tractable means of shifting between different types of sparsity-preserving representations and we show how to employ these factorizations to obtain distributed implementations for stabilizing and possibly stable controllers. By formulating all these results for both discrete- and continuous-time systems, we develop specialized distributed implementations that, up to this point, were only available for networks modeled as discrete-time *** Codes 93A14, 93B99, 93C05 © 2022, CC BY.

关键词： Continuous time systems

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Analysis and experimental verification of faulty network modes in an autonomous vehicle string

Analysis and experimental verification of faulty network mod...

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Mediterranean Conference on control and Automation (MED)

作者： G. Rödönyi P. Gáspár J. Bokor Sz. Aradi Z. Hankovszki R. Kovács L. Palkovics Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Budapest University슠of슠Technology슠and슠Economics Hungary Knorr-Bremse Brake-systems Gmbh Germany

Advanced autonomous vehicle strings rely on inter-vehicle communication in order to decrease the necessary safety gap so that fuel consumption can be decreased and road capacity can be increased. In case of failures of some communication channels, the corresponding back-up control strategy must be switched on. Maximal spacing errors of such back-up modes are analyzed and compared. Robustness to platoon heterogeneity and communication delays are considered. The main conclusion we can draw is that, in the full communication mode, satisfactory spacing performance can be achieved by using simple output-feedback controllers designed without detailed knowledge on engine/brake characteristics, only utilizing the existing services available today in every commercial heavy trucks with automatic gearbox. Experimental verification of the designed controllers are presented.

关键词： Vehicles Acceleration Delay Engines Safety Indexes Gears

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Differential energy based microgrid protection against fault conditions

Differential energy based microgrid protection against fault...

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Innovative Smart Grid Technologies (ISGT)

作者： S.R. Samantaray Geza Joos I. Kamwa School of Electrical Sciences Indian Institute of Technology Bhubaneswar India Department of Electrical and Computer Engineering McGill University Montreal QUE Canada Hydro-Quebec/IREQ Power System Analysis Operation and Control Varennes QUE Canada

A differential energy based fault protection in microgrid is presented in this paper. Initially the currents at the respective buses are retrieved and processed through a novel time-frequency transform known as S-transform to generate time-frequency contours. Spectral energy content of the time-frequency contours of fault current signals are calculated and differential energy is computed to register the fault patterns in the microgrid at grid-connected and islanded mode. The proposed scheme is tested for different shunt faults (symmetrical and unsymmetrical) and High Impedance Faults (HIF) in the microgrid with radial and loop structure. The results based on extensive study indicate that the differential energy based protection scheme can reliably protect the microgrid against different fault situations.

关键词： Time frequency analysis Fault currents Pattern recognition Impedance Wavelet transforms Mathematical model

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Smartcard-Based Secret Sharing for Secure Fingerprint Verification

Smartcard-Based Secret Sharing for Secure Fingerprint Verifi...

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International Conference on Embedded and Multimedia Computing (EM-Com)

作者： Hanna Choi Woo-yong Choi Daesung Moon Sungju Lee Yongwha Chung Sungbum Pan Department of Computer and Information Science Korea University South Korea Biometrics Technology Research Team Electronics and Telecommunications Research Institute Daejeon South Korea Division of Information Control Measurement Engineering Chosun University South Korea

Recently, in the smartcard-based authentication system, there is an increasing trend of using fingerprint for the card holder verification, instead of passwords. However, the security of the fingerprint data is particularly important as the possible compromise of the data will be permanent. To protect the fingerprint data, techniques such as "fuzzy vault" which is based on the difficulty of the polynomial reconstruction need to be developed for the smartcard-based environment. In this paper, we propose a secure and efficient approach which reconstructs a polynomial on a smartcard with the aid of a server by using fuzzy fingerprint vault distributed into the smartcard and the server. Based on the experimental results, we confirmed that our secret sharingbased approach can perform the fuzzy vault-based fingerprint verification more securely (by a factor of'300) and quickly (by a factor of 17) on a combination of a smartcard and a server.

关键词： Cryptography Fingerprint recognition Polynomials Protection Image reconstruction Authentication Data security Information science control systems Information security

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Experimental verification of constrained iterative learning control using successive projection

Experimental verification of constrained iterative learning ...

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UKACC International Conference on control (control)

作者： Bing Chu Zhonglun Cai David H Owens Eric Rogers Chris T Freeman Paul L Lewin Electronics and Computer Science University of Southampton Southampton UK Faculty of Engineering and the Environment University of Southampton Southampton UK Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Italian Institute of Technology Genoa Italy

In many practical applications, constraints are often present on, for example, the magnitudes of the control inputs. Recently, based on a novel successive projection framework, two constrained iterative learning control (ILC) algorithms were developed with different convergence properties and computational requirements. This paper investigates the effectiveness of these two methods experimentally on a gantry robot facility, which has been extensively used to test a wide range of linear model based ILC algorithms. The results obtained demonstrate the effectiveness of the algorithms in solving one form of the general constrained ILC problem.

关键词： Convergence Robots Algorithm design and analysis Prediction algorithms Trajectory Optimization

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Dynamic modeling, stability, and control of power systems with distributed energy resources

arXiv

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arXiv 2018年

作者： Sadamoto, Tomonori Chakrabortty, Aranya Ishizaki, Takayuki Imura, Jun-ichi Department of Systems and Control Engineering Graduate School of Engineering Tokyo Institute of Technology 2-12-1 Meguro Tokyo Japan Electrical & Computer Engineering North Carolina State University RaleighNC27695 United States

This article presents a suite of new control designs for next-generation electric smart grids. The future grid will consist of thousands of non-conventional renewable generation sources such as wind, solar, and energy storage. These new components are collectively referred to as distributed energy resources (DER). The article presents a comprehensive list of dynamic models for DERs, and shows their coupling with the conventional generators and loads. It then presents several innovative control designs that can be used for facilitating large-scale DER integration. Ideas from decentralized retrofit control and distributed sparsity-promoting optimal control are used for developing these designs, followed by illustrations on an IEEE power system test model. Copyright © 2018, The Authors. All rights reserved.

关键词： Energy resources

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Density Peak-based Pre-clustering Support Vector Machine for Multi-class Imbalanced Classification

Density Peak-based Pre-clustering Support Vector Machine for...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Zonglin Di Qi Kang Daogang Peng Mengchu Zhou Department of Control Science and Engineering Tongji University Shanghai China College of Automation Engineering Shanghai University of Electric Power Shanghai China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

Imbalanced classification using a support vector machine (SVM) is a normal but crucial problem in machine learning. Compared with binary classification, multiclass classification is much more complicated. Most existing studies on imbalanced classification using SVM focus on binary imbalanced classification; while only few of them look into imbalanced classification with multiple classes. Pre-clustering is a useful technique to prepare proper data from an imbalanced dataset for a classifier. It can be used to extract the feature of a dataset first and improve classification performance. Density peak based on Euclidean distance proves its effectiveness and generality in clustering. Motivated by this and the fact that the number of clusters is known in multi-class classification using a one-vs-rest strategy, we combine density peak clustering and SVM to propose a new pre-clustering method to perform effective imbalanced classification with multiple classes. Specifically, we transform a multi-class classification problem into several binary classification tasks. The results on 5 public datasets in terms of F-measure, G-mean and Area Under Curve (AUC) show its superiority over the original SVM and SVM with other methods including random under-sampling, Synthetic Minority Oversampling Technique, pre-clustering using K-Means and EasyEnsemble methods using either a one-vs-rest or one-vs-one strategy.

关键词： Support vector machines Feature extraction Nickel Testing Task analysis Euclidean distance Kernel

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Secret Distribution for Secure Fingerprint Verification

Secret Distribution for Secure Fingerprint Verification

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International Conference on Hybrid Information technology, ICHIT

作者： Hanna Choi Sungju Lee Daesung Moon Yongwha Chung Sungbum Pan Department of Computer and Information Science Korea University South Korea Biometrics Technology Research Team Electronics and Telecommunications Research Institute Daejeon South Korea Division of Information and Control Measurement Engineering Chosun University South Korea

Recently, in the smart-card based authentication system, there is an increasing trend of using fingerprint for the card holder verification, instead of passwords. However, the security of the fingerprint data is particularly important as the possible compromise of the data will be permanent. In this paper, we propose an approach for secure fingerprint verification by distributing both the secret and the computation based on the fuzzy vault (a cryptographic construct which has been proposed for crypto-biometric systems). That is, a user fingerprint template which is applied to the fuzzy vault is divided into two parts, and each part is stored into a smart-card and a server, respectively. At distributing the fingerprint template, we consider both the security level and the verification accuracy. Then, the geometric hashing technique is applied to solve the fingerprint alignment problem, and this computation is also distributed over the combination of the smart-card and the server in the form of the challenge-response. Finally, the polynomial can be reconstructed from the accumulated real points from both the smart-card and the server. Based on the experimental results, we confirm that our proposed approach can perform the fuzzy vault-based fingerprint verification more securely on a combination of a smart-card and a server without significant degradation of the verification accuracy.

关键词： Fingerprint recognition Servers Security Polynomials Feature extraction Fingers Accuracy

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