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International Conference on Development and Application Systems

作者： Mario Vrazic Damir Vuljaj Zlatko Hanic Marinko Kovacic Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9781509019946

The paper describes procedures for analyzing and design of the ship electric power network regarding total harmonic distortion. It addresses and provides an overview of the sources of higher harmonic components in the ship power network. The paper also analyses the impact of the certain parameters of the ship power network components to total harmonic distortion in order to enable the designing engineer to optimize the ship network. Several methods for reducing total harmonic distortion in ship electric power networks are also covered within the paper.

关键词： ship power network total harmonic distortion harmonic load flow power system analysis ship power system optimization

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Estimation of stator resistance and rotor speed for IPMSG using model reference adaptive system

Estimation of stator resistance and rotor speed for IPMSG us...

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IEEE International Energy Conference and Exhibition (EnergyCon)

作者： Tin Bariša Igor Erceg Ivor Marković Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing Zagreb Croatia

In order to achieve optimal control of an interior permanent magnet synchronous generator (IPMSG) used in wind power plants, parameters of the generator need to be identified or estimated. Furthermore, since mechanically mounted speed sensors can cause plant failures, sensorless control is preferred and generator rotor speed needs to be estimated. Model reference based methods are one of the most used methods for combined stator resistance and rotor speed estimation in permanent magnet synchronous motors. In this paper an estimation of stator resistance and rotor speed using model reference adaptive system (MRAS) is presented. The MRAS consists of the reference and adjustable model where the reference model is used to determine the required states (d and q current components) and the adaptive model provides the estimated values of the states. Simulations were conducted for different rotor speed values and expected stator resistance variation due to temperature increase under load. Simulation results show that the MRAS model gives satisfactory estimates of rotor speed and stator resistance.

关键词： Stators Resistance Rotors Adaptation models Estimation Stability analysis Mathematical model

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An analytical framework for the study of solid body cooling

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Defect and Diffusion Forum 2017年 370卷 1-18页

作者： Kopal, Ivan Koštial, Pavel Jančíková, Zora Valíček, Jan Harničárová, Marta Alexander Dubček University of Trenčín Faculty of Industrial Technologies Púchov Krasku 491/30 Púchov020 01 Slovakia Institute of Physics Faculty of Mining and Geology VŠB-Technical University of Ostrava 17 listopadu 15/2172 Ostrava708 33 Czech Republic Department of Automation and Computing in Metallurgy Faculty of Metallurgy and Materials Engineering VŠB-Technical University of Ostrava 17 listopadu 15/2172 Ostrava708 33 Czech Republic Institute of Clean Technologies for Mining and Utilization of Raw Materials for Energy Use Faculty of Mining and Geology VŠB-Technical University of Ostrava 17 listopadu 15/2172 Ostrava708 33 Czech Republic RMTVC Faculty of Metallurgy and Materials Engineering VŠB-Technical University of Ostrava 17 listopadu 15/2172 Ostrava708 33 Czech Republic

This paper aims to study the cooling of a solid body. An analytical analysis of a solid body cooling in different regimes is presented, such as a simple first order exponential model, a modified exponential model, a generalized exponential model and the so-called regular temperature regime. The analysis also includes the influence of the dynamically changing relaxation time and we also present the solution of the nonlinear heat equation.

关键词： Cooling

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Text mining and sustainable clusters from unstructured data in cloud computing

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Cluster computing 2017年 1-10页

作者： Wang, Ning Zeng, Jianping Ye, Maozhi Chen, Mingming Department of Automation Xiamen University Xiamen China Department of Information and Mechatronics Engineering Xiamen Huaxia University Xiamen China Fujian Province Engineering Research Center on New Generation of Information and Communication Technology and Wisdom Education Xiamen China School of Computing and Information Sciences at Florida International University MiamiFL United States Department of Computer Science Ningde Normal University Ningde China University of Illinois at Springfield Springfield United States

Text mining (TM) is basically the Data mining on information. TM is a procedure of separating possibly helpful data from crude Data, to enhance the nature of the data benefit. The manuscript presents the essential idea of CC and TM firstly, and outlines out how TM is utilized as a part of CC. There is an enormous measure of consideration being cantered around enhancing the security applications in the web nowadays. The Internet measurements demonstrate that there were numerous sources that significantly rely on upon access to appropriate and secure. Determination part of the issue has been examined for long, so Author sets out taking a shot at the to begin with, while the remaining is still in thought organize. Author gives a bit of knowledge into the proposed work on robotizing therapeutic determination utilizing mining strategies and incorporates some underlying outcomes. A principled methodology is proposed to build up a keen data framework by breaking down the formless information. Develop the blame philosophy for discover the blame so that concentrate the superfluous data. The proposed technique is that investigation of rundown and literary theft examination and discovers the productivity that is the time multifaceted nature and increment the execution of framework utilizing group based methodology. © 2017 Springer Science+Business Media New York

关键词： Application programs

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MRAS based estimation of stator resistance and rotor flux linkage of permanent magnet generator considering core losses

MRAS based estimation of stator resistance and rotor flux li...

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Annual Conference of Industrial Electronics Society

作者： Ivor Marković Igor Erceg Damir Sumina Department of Electrical Engineering Polytechnic of Zagreb Zagreb Croatia Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing Zagreb Croatia

For maximization of efficiency of interior permanent magnet generators (IPMSG) and optimization of machine control correct parameters of the machine are needed. Parameters used in advanced control of the machine are stator resistance, magnetic flux linkage and inductances of d and q axes. Alongside them ohmic resistance that represents core losses can be employed to further increase efficiency of control. This work will focus on implementation of MRAS estimator that has adaptive models with and without taking into account core losses. Using Matlab Simulink simulations were conducted and comparison of estimators was made under change of current in d and q axis and different values of resistance that represents core losses. Results show that value of resistance that represents core losses influences estimated values of parameters and that it is beneficial to take into account core losses for efficient control of the machine.

关键词： Adaptation models Mathematical model Core loss Resistance Stator cores Magnetic flux

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Evaluation of K-SVD with different embedded sparse representation algorithms

Evaluation of K-SVD with different embedded sparse represent...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Jingjing Liu Wanquan Liu Qilin Li Shiwei Ma Guanghua Chen School of Mechatronical Engineering and Automation Shanghai University PR China Department of Computing Curtin University Perth WA Australia

The K-SVD algorithm is a powerful tool in finding an adaptive dictionary for a set of signals via using the sparse representation optimization and constrained singular value decomposition. In this paper, we first review the original K-SVD algorithm as well as some sparse representation algorithms including OMP, Lasso and recently proposed IITH. Secondly, we embed the Lasso and IITH sparse representation algorithms into the K-SVD process and establish two new different K-SVD algorithms. Finally, we have done extensive experiments to evaluate the performances of these derived K-SVD algorithms with different pursuit methods and these experiments show that the K-SVD with IITH has distinctive advantages in computational cost and signal recovery performance while the K-SVD with Lasso is not sensitive to initial conditions.

关键词： Dictionaries Matching pursuit algorithms Encoding Convergence Optimization Matrix decomposition Erbium

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One Cycle Control applied to a stand-alone photovoltaic system for DC microgrid applications

One Cycle Control applied to a stand-alone photovoltaic syst...

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Annual Conference of Industrial Electronics Society

作者： João T. de Carvalho Neto Andrés O. Salazar André L. Maitelli Department of Computing Engineering and Automation Federal University of Rio Grande do Norte Natal/Rio Grande do Norte Brazil

Distributed Energy Resources (DER) are the basic units for storage and distribution in Microgrids. A DER unit can be of a hybrid type including a primary energy source (distributed generation - DG) and storage (distributed storage - DS). A hybrid type unit is proposed in this paper. The unit consists of a dc-dc buck-boost converter that tracks the maximum power supplied by a photovoltaic panel, a dc-dc boost converter that regulates the voltage of the microgrid dc bus and a bidirectional dc-dc buck-boost converter that controls the power flow in the unit, charging or discharging a battery bank. The control of these converters must consider the battery protection against voltage surges and transients, so as the protection of the loads connected to the dc bus, when the battery supplies the energy stored. The One-Cycle Control (OCC) technique has been used jointly the switching converters to allow fast response to transients, no overshoots and zero steady state error. The objective of this work is to use OCC technique in the controller of these converters in order to quickly track down the maximum power point, charge the battery bank when they are discharged, and to supply the battery energy to the loads when necessary, ensuring protection to the battery and to the loads connected to the microgrid.

关键词： Batteries Voltage control Microgrids Switches Photovoltaic systems Pulse width modulation Density estimation robust algorithm

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Gabor Convolutional Networks

arXiv

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arXiv 2017年

作者： Luan, Shangzhen Chen, Chen Zhang, Baochang Han, Jungong Liu, Jianzhuang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Department of Electrical and Computer Engineering The University of North Carolina at Charlotte CharlotteNC28223 United States Shenzhen Academy of Aerospace Technology Shenzhen518057 China School of Computing and Communications Lancaster University LancasterLA1 4YW United Kingdom Noah’s Ark Lab Huawei Technologies Co. Ltd. Shenzhen518129 China

In steerable filters, a filter of arbitrary orientation can be generated by a linear combination of a set of "basis filters." Steerable properties dominate the design of the traditional filters, e.g., Gabor filters and endow features the capability of handling spatial transformations. However, such properties have not yet been well explored in the deep convolutional neural networks (DCNNs). In this paper, we develop a new deep model, namely, Gabor convolutional networks (GCNs or Gabor CNNs), with Gabor filters incorporated into DCNNs such that the robustness of learned features against the orientation and scale changes can be reinforced. By manipulating the basic element of DCNNs, i.e., the convolution operator, based on Gabor filters, GCNs can be easily implemented and are readily compatible with any popular deep learning architecture. We carry out extensive experiments to demonstrate the promising performance of our GCNs framework, and the results show its superiority in recognizing objects, especially when the scale and rotation changes take place frequently. Moreover, the proposed GCNs have much fewer network parameters to be learned and can effectively reduce the training complexity of the network, leading to a more compact deep learning model while still maintaining a high feature representation capacity. The source code can be found at https://***/bczhangbczhang. Copyright © 2017, The Authors. All rights reserved.

关键词： Gabor filters

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Time-effective GPS Time Domain Signal Acquisition Algorithm

Time-effective GPS Time Domain Signal Acquisition Algorithm

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International Conference on Localization and GNSS

作者： Glauberto L. A. Albuquerque Carlos Valderrama Fabricio Costa Silva Samuel Xavier-de-Souza Department of Electronics and Microelectronics University of Mons Mons Belgium Department of Computing Engineering and Automation Federal University of Rio Grande do Norte Natal Brazil

ISBN: (纸本)9781509019380

This paper presents a new time-effective GPS acquisition algorithm that improves the Time to First Fix (TTFF) of hardware GPS receivers under power consumption or hardware constraints. Based on a modified Serial Search Acquisition Algorithm (SA), this enhanced alternative, called Reduced Two Steps Acquisition (RTSA), provides an average gain of 64.18% in number of SA calculations. In terms of speedup RTSA was in average 3x faster than SA without needing additional hardware resources

关键词： GPS Global Positioning Systems Cold Start

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Non-Uniform Sampling based ADC Architecture using an Adaptive Level-Crossing Technique

Non-Uniform Sampling based ADC Architecture using an Adaptiv...

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IEEE International Instrumentation and Measurement Technology Conference

作者： Veronica Maria Lima Silva Antonio Augusto Lisboa de Souza Sebastian Yuri Cavalcanti Catunda Raimundo Carlos Silverio Freire Department of Electrical Engineering Federal Rural University of Semi-Arid (UFERSA) Campina Grande Brazil Department of Electrical Engineering Federal University of Paraiba (UFPB) Joao Pessoa Brazil Department of Computing Engineering and Automation Federal University of Rio Grande do Norte (UFRN) Natal Brazil Department of Electrical Engineering Federal University of Campina Grande (UFPB) Campina Grande Brazil

ISBN: (纸本)9781509035977

This paper presents a non-uniform sampling analog-to-digital converter (ADC) architecture using an adaptive level-crossing technique. The architecture can be dynamically configured through three parameters that allow the user to match the ADC to the signal to be acquired or to application constraints. When applied to sparse signals, this architecture outperforms uniform sampling architectures. In the case of an Electrocardiogram (ECG) signal, our architecture showed gains of up to 10 dB of signal to noise ratio (SNR) when considering the same number of samples of uniform sampling. When the same SNR is considered, our architecture allows reductions in excess of 50%. The architecture was implemented with FPGA and general purpose components, and showed a response time of about 200 μs, which could be further reduced in an integrated implementation.

关键词： analog-to-digital converter non-uniform sampling level-crossing

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