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IEEE International Conference on Intelligent Engineering Systems (INES)

作者： Moraru Andrei Eva-H. Dulf Lehel Dénes-Fazakas Levente Kovacs Department of Automation And Applied Informatics Faculty of Automation and Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania Obuda University University Research and Innovation Center Physiological Controls Research Center Obuda University John von Neumann Faculty of Informatics Biomatics and Applied Artificial Intelligence Institute Obuda University Applied Informatics and Applied Mathematics Doctoral School Obuda University

ISBN: (数字)9798350367591

ISBN: (纸本)9798350367607

Human body motion tracking is a key technique in robotics, virtual reality and other human–computer interaction fields, for interactive mixed reality applications. Human motion tracking for rehabilitation is widely discussed by researchers in the last period, being motivated by the increased number of patients with motor function disability. For such patients rehabilitation is an important step to restore their functional capability to normal or close to normal. To reach this target, a patients’ activities need to be continuously monitored, and subsequently corrected. This involves accurate identification, tracking, and post-processing of movement. This paper thus proposes an open loop real time angle computation algorithm designed in Matlab®. Its efficacy was tested using an Arduino Nano® coupled with the MPU-6050 as the Inertial Measurement Units (IMU). The advantages of the proposed algorithm are presented by comparison with the already existing and widely used methods.

关键词： Target tracking Quaternions Virtual reality Patient rehabilitation Sensor fusion Time measurement Sensor systems

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PyAPI-RTS: A Python-API for RSCAD Modeling

PyAPI-RTS: A Python-API for RSCAD Modeling

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Open Source Modelling and Simulation of Energy Systems (OSMSES)

作者： Moritz Weber Jona Enzinger Hüseyin K. Çakmak Uwe Kühnapfel Veit Hagenmeyer Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Eggenstein-Leopoldshafen Germany

Detailed real-time simulation of power systems and components gains significant importance due to the increasing share of renewable energy sources and inverter-based generation in general. This kind of simulation is powered by specialized simulation hardware, such as the NovaCor simulators by RTDS Technologies Inc. These simulators are accompanied by the specialized modeling and simulation software RSCAD, which is focused on the user interaction via a graphical interface. The modeling and simulation of power systems often requires repetitive tasks that can be automated with scripting or an ap-plication programming interface (API). However, an automation in RSCAD is not supported. Thus, we present PyAPI-RTS, a programming interface for the programmatic interaction with RSCAD models, and its Python-based implementation in the pyapi_rts package. The developed package enables adding, removing, and editing components of existing models, and the creation of new models from scratch. Furthermore, pyapi_rts organizes models in a graph structure that enables the development of elaborate manipulation and analysis algorithms.

关键词： Renewable energy sources Analytical models automation Programming Real-time systems Software Hardware

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Fault Diagnosis Using Artificial Neural Network for Two-Level VSI in PMSM Drive System

Fault Diagnosis Using Artificial Neural Network for Two-Leve...

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Electrical, Computer and Energy Technologies (ICECET), International Conference on

作者： Saif Alsarayreh Zoltán Sütõ Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

A permanent magnet synchronous motor's (PMSM) drive system depends heavily on the voltage source inverter (VSI). However, the VSI shows vulnerability to faults during operation, especially when it comes to open circuit switch faults, which are the most frequent and have the most significant negative impact on the drive system. In order to diagnose Open Circuit Faults (OCF) in the Voltage Source Inverter (VSI) of a three-phase permanent magnet synchronous motor drive system, this work employs the vector average current technique in Clark's transformation and an artificial neural network. Diagnostic variables are computed based on the current distortion to gather details about the fault. An artificial neural network (ANN) is put to use to process the fault information in order to determine and locate the specific location of the faulty switch. The study's simulation results show that the methodology employed effectively identifies and localises open circuit faults in a two-level, three-phase inverter.

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Infantile Hemangiomas Segmentation using U-Net and SegNet Architectures Models 10

Infantile Hemangiomas Segmentation using U-Net and SegNet Ar...

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10th E-Health and Bioengineering Conference, EHB 2022

作者： Sultana, Alina Elena Oniga, Maria Nițu, Corina Sandu, Cristina - Nicoleta Petrescu, Andrei - Sebastian Applied Electronics and Information Engineering University "Politehnica" of Bucharest Bucharest Romania Automation and Industrial Informatics University "Politehnica" of Bucharest Bucharest Romania

ISBN: (纸本)9781665485579

Infantile hemangiomas are benign tumors that can appear at birth or in the first months of life. As there is no robust protocol in medical practice to determine the evolution of the lesion, an automatic segmentation method can assist physicians to monitor and assess the hemangioma status. Current study proposes two CNN based segmentation approaches using U-Net and SegNet architectures applied on a small proprietary database consisting in 220 images from 35 patients. We have calculated six metrics to evaluate and compare the performance of both networks: accuracy, negative predicted values, positive predicted values, sensitivity, specificity rates and F1-score. © 2022 IEEE.

关键词： Image segmentation

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Nature Inspired Optimization Algorithms in Fractional Order Controller Design

Nature Inspired Optimization Algorithms in Fractional Order ...

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IEEE International Conference on Intelligent Engineering Systems (INES)

作者： Eva-H. Dulf Alexandru George Berciu Lehel Dénes-Fazakas Levente Kovacs Department of Automation And Applied Informatics Faculty of Automation and Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania Obuda University University Research and Innovation Center Physiological Controls Research Center Obuda University John von Neumann Faculty of Informatics Biomatics and Applied Artificial Intelligence Institute Obuda University Applied Informatics and Applied Mathematics Doctoral School Obuda University

ISBN: (数字)9798350367591

ISBN: (纸本)9798350367607

Fractional-order PID (FOPID) controllers have gained increasing interest in control theory in recent years, mainly to improve the performance and stability of complex systems. FOPID controllers are a generalization of classical PID controllers that have both integral and derivative orders of fractional order. This means that instead of having three tuning parameters as in classical PID, there are two additional degrees of freedom to achieve the control objectives. At the same time, the structure of the PID controller, so valued in industrial applications, is retained. A preferred method for designing FOPID controllers is the use of optimization algorithms. Different objective functions are used, such as the integral of the square error (ISE), the integral of the absolute error (IAE), the integral of the time-weighted absolute error (ITAE) or the integral of the time-weighted square error (ITSE), which must be minimized in order to adjust the five unknown parameters of the FOPID controller. There are several papers discussing different optimization methods and objective functions for different applications, but there are no general recommendations to help engineers choose the right method for their design. The present research compares three of the most well-known nature-inspired optimization techniques from the point of view of a FOPID controller design tool, using all the above enumerated objective functions. The analysis is realized both for processes with large time constants (such as thermal processes) and for dynamic systems (such as mechatronic processes), presenting the advantages and disadvantages of each method.

关键词： Transient response Heuristic algorithms Sociology Linear programming Stability analysis Thermal analysis Statistics

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Optimal Selection of Switch Model Parameters for ADC-Based Full-Bridge Converter

Optimal Selection of Switch Model Parameters for ADC-Based F...

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Electrical, Computer and Energy Technologies (ICECET), International Conference on

作者： Saif Alsarayreh Zoltán Sütő Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

The incorporation of real-time Hardware-In-the-Loop (HIL) simulators has become one of the pillars of the power electronics control design cycle. This integration is necessary to verify the effectiveness of controller implementations. Despite the rapid evolution in FPGA devices' computational capacity employed by Hardware-in-the-Loop (HIL) tools, developers are consistently faced with the need to strike a balance between acceptable accuracy and the practicality of implementing models and techniques. The methodology presented in this paper is for implementing a full-bridge converter using the Associate Discrete Circuit (ADC) model, specifically designed for real-time simulator applications. Furthermore, this study presents a novel methodology for parameter selection of (ADC) parameters utilizing the Artificial Bee Colony algorithm (ABC). The utilization of the ADC-based model facilitates the establishment of a uniform converter topology during simulation, irrespective of the switch states. The simulation results demonstrate the effectiveness of the introduced methodology in selecting optimal parameters for an ADC switch-based full-bridge converter, reducing overshoot in the converter's output voltage and current.

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Power-HIL application analysis of a 3-level inverter for PMSM machine

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica Electrical engineering and computer science 2021年第1期65卷 62-68页

作者： Kiss, Dávid Varjasi, István Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics 2 Magyar Tudósok krt. BudapestH-1117 Hungary

Power-HIL simulation is one of the emerging areas in power electronics development nowadays. It offers a convenient test environment for the whole power electronics hardware but eliminates the necessity of motor test benches and rotating machines. Selecting a suitable power amplifier for the simulator is however a challenging task. Switching power supplies can be an interesting option as Power Amplifier, but they have to offer superior power capability and dynamic performance over the DUT (Device Under Test), while maintaining high enough switching frequency to meet the dynamic requirements as well. Using commercially available inverters as Power Amplifiers would be an attractive option, if they can achieve the desired emulation accuracy. This paper investigates the possibility of using a common 3-level inverter with an L-C-L coupling network as a Power Amplifier for a P-HIL simulator, to emulate a PMSM (Permanent Magnet Synchronous Machine) machine. © 2021 Budapest University of Technology and Economics. All rights reserved.

关键词： Power electronics

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A Novel Method for Topology Preserving Static Network Reduction

A Novel Method for Topology Preserving Static Network Reduct...

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IEEE International Conference on Smart Energy Grid Engineering (SEGE)

作者： Moritz Weber Hüseyin K. Çakmak Uwe Kühnapfel Veit Hagenmeyer Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Eggenstein-Leopoldshafen Germany

Modern power grids become increasingly interconnected, and renewable energy sources amplify regional differences in energy generation and consumption. As a consequence, power grid analyses need to consider larger grids to examine the interaction between different regions. A detailed simulation of complete systems is often not feasible due to computational limitations. Thus, network reduction techniques are employed to create computationally less expensive equivalents of less important parts of the network. In this paper, we present a novel static network reduction method that is focused on the preservation of the overall network topology. We implemented this method in Python with DIgSILENT PowerFactory for the network modeling. We evaluate our method on a model of the German transmission grid and compare it to traditional reduction methods. In contrast to these traditional methods, our method yields interpretable equivalents with a preserved network topology consisting of standard components, while achieving a comparable reduction rate and accuracy of power flow and short circuit results.

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Torque Control of Induction Machines Using QRM-MPC Approach

Torque Control of Induction Machines Using QRM-MPC Approach

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International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2022

作者： Bándy, Kristóf Gábor Stumpf, Péter Department of Automation and Applied Informatics Budapest University of Technology and Economics Műegyetem rkp. 3 BudapestH-1111 Hungary

ISBN: (纸本)9783800758227

Model Predictive Control is a promising technique for electric drives, as it enables optimization for multiple parameters and offers reliable operation with non-linear systems. In this paper, a novel approach is used that aims to harness the advantages of both finite and continuous set model predictive methods in converter-fed AC drive control. The applied method calculates seven predicted states and assigns cost function values to these as a finite set approach would. Then a Quadratic Regression Model is fit upon this cost function data to extend it to the entire modulation region continuously. This transforms the problem into a continuous control set approach. The associated quadratic programming problem can be solved simply and efficiently due to this formulation without the need of iteration. The optimal voltage vector can be applied via Pulse Width Modulation. Simulation and experimental results verify the operation of the predictive torque control for Induction Machines with the proposed method. © VDE VERLAG GMBH, Berlin, Offenbach.

关键词： Cost functions

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Application of Model-Free Control to Reduce the Total Harmonic Distortion of Inverters

Application of Model-Free Control to Reduce the Total Harmon...

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IEEE Electronic Power Grid (eGrid)

作者： Jan Wachter Lutz Gröll Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

With the fast rising number of power electronic devices in the electric grid, the harmonic emissions of those devices can lead to significant power quality issues. This is reflected in the recent addition of harmonic stability as one of the grid stability types. The reduction of harmonic emissions is an important task in the development of resilient carbon neutral grids. This paper describes the application of the model-free control concept for grid-tied inverters as an easily implementable extension for dq0-frame based current control loops, which are often used in cascaded control schemes. The approach incorporates the information contained in the output current derivative. To balance phase-error and measurement noise suppression, the derivative is obtained using an algebraic numerical differentiator. The reduction of the total harmonic distortion (THD) is demonstrated for two use-cases in simulation, in order to show the transferability of the results. Further, measurement data from a hardware implementation of the concept is studied to verify the behavior under real-world conditions. For this, the influence of the tuning parameters is discussed along with limitations of the approach.

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