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38th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2015

作者： Novak, Mateja Šunde, Viktor Jakopović, Željko Faculty of Electrical Engineering and Computing Department of Electrical Machines Drives and Automation Zagreb Croatia

ISBN: (纸本)9789532330854

Photovoltaic modules as direct converters of solar energy into electrical energy are typically connected to the power grid trough standard two level converters. A photovoltaics system can be connected to the power grid if it can satisfy the IEEE standardized conditions set by the power grid operator. The conditions include limitations of THD factor and current harmonics. Multilevel converters which have a lower THD factor than two level converters can satisfy these conditions and in the same time work at higher switching frequencies lowering the losses and the size of the output filter. The model implemented in Simulink® MATLAB consists of a photovoltaic array, boost DC-DC converter with MPPT control and three level neutral point clamped converter connected to the power grid. The simulation results are presented, analyzed and compared to the standard model with a two level converter to validate the benefits of the usage of multilevel converters for grid connected photovoltaic systems. © 2015 MIPRO.

关键词： Solar energy

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Enhanced Discrete-Time Differentiators for State Observers of Sensorless Permanent Magnetic Synchronous Motor Drives 8

Enhanced Discrete-Time Differentiators for State Observers o...

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8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023

作者： Curi Busarello, Tiago Davi Federal University of Santa Catarina Department of Control Automation and Computing Engineering Blumenau Brazil

ISBN: (纸本)9798350321128

In sensorless motor drive applications, the rotor and the speed of the rotor are usually estimated through state observer algorithms. A key part of such algorithm is the computation of the derivative of the rotor position, resulting in the estimated rotor speed. computing derivatives brings challenges due to their inherent noise amplification characteristic. This paper presents enhanced discrete-time differentiators for state observers of sensorless permanent magnetic synchronous motor drives. A class of discrete-time differentiators based on finite impulse response filters and one based on Kalman filter are proposed. Details about how to obtain the coefficients of the differentiators are presented. To verify the performance of the proposed differentiators, all of them were executed in F28379D LaunchPad microcontroller. Results show that the proposed discrete-time differentiators compute the derivative of the rotor position signal in a satisfactory manner, even in the presence of noise. © 2023 IEEE.

关键词： Differentiators digital filters Kalman filter state observer

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Control Strategy based on Frequency Response for a Single-Phase Full- Bridge Series Active Filter 16

Control Strategy based on Frequency Response for a Single-Ph...

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16th Brazilian Power Electronics Conference, COBEP 2021

作者： Curi Busarello, Tiago Davi Automation and Computing Engineering Federal University of Santa Catarina Department of Control Blumenau Brazil

ISBN: (纸本)9781665421294

Series active filters are a mature technology and well covered in the literature. However, they are usually designed for three-phase systems employing control strategies in dq-rotating reference frame. As a result, proportional-integrator controllers are used. However, they are not suited when the system has abnormal conditions. Moreover, with the high penetration of distribution generators, single-phase distribution voltage is being deteriorated. This paper presents a control strategy based on frequency response for a single-phase full bridge series active filter. The series active filter is controlled in voltage mode through a digital lead-lag controller. The controller parameters are obtained by frequency response technique using the k-factor methodology and later discretized via Backward-Euler approximation. The series active filter is tested in a system with nonlinear loads, distortions at the distribution voltage and under disturbance at the DC-link. The proposal was verified under simulation results and under Hardware-in-Loop Typhoon HIL402 with external microcontroller TMS320F28335. Results showed the effectiveness of the proposed control strategy. © 2021 IEEE.

关键词： Active filters

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Analysis of current harmonics in data center power system 45

Analysis of current harmonics in data center power system

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45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Raguz, K. Raic Miletic, M. Zelenicic, V. Sumina, D. Erceg, I. Nastasic, Z. Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia

ISBN: (纸本)9789532331035

This paper presents power quality analysis at different points in a data center. Electrical distribution network scheme and data center description are also given. The method of measurements performed is briefly described and the results of real measurements of current and voltage Total Harmonic Distortion (THD) are presented and compared with IEEE 519-2014 recommended practice and requirements for harmonic control in electric power system. All measured values comply with the standard but measurements at downstream levels closer to the nonlinear loads have larger THD. © 2022 Croatian Society MIPRO.

关键词： Power quality

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Software for Small-scale Robotics: A Review

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International Journal of automation and computing 2018年第5期15卷 515-524页

作者： Tobias Tiemerding Sergej Fatikow Department of Computing Science Division Microrobotics and Control Engineering (AMiR) University of Oldenburg OFFIS–Institute for Information Technology R&D Division Automation and Integration Technology (AIT)

In recent years, a large number of relatively advanced and often ready-to-use robotic hardware components and systems have been developed for small-scale use. As these tools are mature, there is now a shift towards advanced applications. These often require automation and demand reliability, efficiency and decisional autonomy. New software tools and algorithms for artificial intelligence（AI） and machine learning（ML） can help here. However, since there are many software-based control approaches for small-scale robotics, it is rather unclear how these can be integrated and which approach may be used as a starting point. Therefore, this paper attempts to shed light on existing approaches with their advantages and disadvantages compared to established requirements. For this purpose, a survey was conducted in the target group. The software categories presented include vendor-provided software, robotic software frameworks（RSF）, scientific software and in-house developed software（IHDS）. Typical representatives for each category are described in detail, including Smar Act precision tool commander, Math Works Matlab and national instruments Lab VIEW, as well as the robot operating system（ROS）. The identified software categories and their representatives are rated for end user satisfaction based on functional and non-functional requirements, recommendations and learning curves. The paper concludes with a recommendation of ROS as a basis for future work.

关键词： Robotic control software engineering micro/nano robotics artificial intelligence （AI） machine learning （ML） open

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A topology-preserving system for environmental models forecasting

A topology-preserving system for environmental models foreca...

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作者： Corchado, Emilio Mata, Aitor Baruque, Bruno Corchado, Juan M. Pérez-Lancho, Belén Department of Computing Science and Automation University of Salamanca Spain Department of Civil Engineering University of Burgos Spain

This inter-disciplinary study presents a novel mathematical simulation model based on an algorithm for the summarization of self-organizing maps ensembles applied under the case-based reasoning (CBR) methodology to perform forecasting tasks. This methodology represents a knowledge-extraction frame, where past information is used to generate new solutions to new problems. The novel summarization algorithm based on topology-preserving models organizes the stored information simplifying the retrieval of the most useful information from the case base. This algorithm is used to organize the case base and to improve the speed and efficiency of the retrieval phase of the CBR cycle within the explained predicting system. The developed mathematical system was applied to a real case of study: a forest fire forecasting data set. Forest fires represent an environmental risk that should be predicted in order to avoid further damages. This novel system was able to predict the future situation of geographic areas after a forest fire had been originated. © 2011 Taylor & Francis.

关键词： Case based reasoning

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Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models

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Multimedia Tools and Applications 2024年 1-25页

作者： Polo-Rodríguez, A. Valera, J.C. Peral, J. Gil, D. Medina-Quero, J. Department of Computer Engineering Automation and Robotics University of Granada Granada18071 Spain Alicante03690 Spain Department of Software and Computing Systems University of Alicante Alicante03690 Spain

The field of human activity recognition has evolved significantly, driven largely by advancements in Internet of Things (IoT) device technology, particularly in personal devices. This study investigates the use of ultra-wideband (UWB) technology for tracking inhabitant paths in home environments using deep learning models. UWB technology estimates user locations via time-of-flight and time-difference-of-arrival methods, which are significantly affected by the presence of walls and obstacles in real environments, reducing their precision. To address these challenges, we propose a fingerprinting-based approach utilizing received signal strength indicator (RSSI) data collected from inhabitants in two flats (60 m2 and 100 m2) while performing daily activities. We compare the performance of convolutional neural network (CNN), long short-term memory (LSTM), and hybrid CNN+LSTM models, as well as the use of Bluetooth technology. Additionally, we evaluate the impact of the type and duration of the temporal window (future, past, or a combination of both). Our results demonstrate a mean absolute error close to 50 cm, highlighting the superiority of the hybrid model in providing accurate location estimates, thus facilitating its application in daily human activity recognition in residential settings. © The Author(s) 2024.

关键词： Ultra-wideband (UWB)

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Set stability for switched Boolean networks with open-loop and closed-loop switching signals

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Science China(Information Sciences) 2018年第9期61卷 232-240页

作者： Xiaohua LI Jianquan LU Jianlong QIU Xiangyong CHEN Xiaodi LI Fuad E.ALSAADI School of Automation and Engineering and Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong Linyi University School of Mathematics and Statistics Shandong Normal University School of Mathematics Southeast University Department of Electrical and Computer Engineering King Abdulaziz University

This paper mainly analyzes the set stability of switched Boolean networks(SBNs) by considering two different methods of switching signals in the form of open-loop and closed-loop switching. First, the definitions of set stability are proposed for SBNs with such switching signals. Then, we propose two different algorithms to find the largest open-loop switching invariant set and largest closed-loop switching invariant set. Furthermore, the corresponding set stability conditions for SBNs are given in each case. In addition,the constructive procedures are presented to design the switching signal sequence to achieve set stability under the two different methods of switching signals. Finally, the effectiveness of the proposed algorithms and research results are demonstrated using two numerical examples.

关键词： switched Boolean network set stability semi-tensor product switching signal design

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Sensorless Synchronization Method for a Grid-Side Converter with an LCL Filter Based on a Sliding Mode Observer and Discontinuous Operating Mode

Sensorless Synchronization Method for a Grid-Side Converter ...

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2022 International Conference on Electrical Machines, ICEM 2022

作者： Jukić, Filip Pravica, Luka Stipetić, Stjepan University of Zagreb Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Croatia

ISBN: (数字)9781665414326

ISBN: (纸本)9781665414326

When the grid-side converter (GSC) is switched on, a large inrush current may occur if the synchronization between the grid and the GSC is not performed well. Hence, a grid voltage and GSC output voltage vectors must be synchronized before the GSC is switched on. This study proposes a novel sensorless synchronization method based on discontinuous currents induced by the grid voltage after applying a series of controlled short circuits to the GSC terminals. Grid voltage angle is estimated using sampled current, a discrete sliding mode observer, and a double generalized second-order integrator with frequency locked loop in both discontinuous and continuous mode. The proposed method ensures the proper synchronization and GSC operation in the continuous operating mode under load conditions. The effectiveness of the proposed method is verified by simulations in Plexim PLECS. © 2022 IEEE.

关键词： Synchronization

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The analysis of the infrared excitation winding surface temperature measurement on a synchronous hydro-generator in rotation

The analysis of the infrared excitation winding surface temp...

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International Conference on Electrical Machines

作者： Stipetić, Stjepan Kovačić, Marinko Hanić, Zlatko Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing University of Zagreb Croatia

ISBN: (纸本)9781424441754

Excitation winding temperature is used for determination of the dynamic limit in the P-Q diagram of a synchronous generator. The surface temperature of an excitation winding can be measured by an infrared (IR) thermometer. Due to rotation, the IR thermometer absorbs thermal radiation from the excitation winding on the salient pole and from the interpolar space as well. These two surfaces can have different temperature or emissivity, which both affect the amount of the thermal radiation radiated towards the sensor of the IR thermometer. Irradiation read by the sensor is therefore the average irradiation of a rotating rotor. This irradiation results in the temperature that differs from the pole surface temperature. The difference depends on the interpolar space size, emissivity and temperature. The effect of the interpolar space can be cancelled if the IR thermometer is positioned at a certain angle with respect to machine's main axis. Temperature sensors have been mounted on the rotor to measure the excitation winding surface temperature for comparison. ©2010 IEEE.

关键词： Surface temperature

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