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International Conference on control, Automation and systems ( ICCAS)

作者： Cristian MP Napitupulu Steven Bandong Yul Yunazwin Nazaruddin Parsaulian I. Siregar Department of Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Engineering Physics Doctoral Program Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Department of Engineering Physics Instrumentation and Control Research Group Institut Teknologi Bandung Bandung Indonesia

The increasing exchange of goods between countries and continents necessitates efficient transportation facilities, with cargo seaports playing a vital role. Within each cargo seaport, the Rubber Tyred Gantry Crane (RTGC) stands out as crucial heavy equipment that requires automation to manage heavy cargo traffic and eliminate bottlenecks. While linear control methods are commonly employed to address this challenge, the inherent nonlinear behavior of the system must be considered. This paper focuses on designing a nonlinear control method, specifically the Sliding Mode controller (SMC), to create an effective MIMO controller for managing the position, cable length, and sway of the gantry crane system. Two DC motors serve as actuators for controlling the trolley position and cable length, which hoists the container. The nonlinear gantry crane model, integrated with the nonlinear DC motor model, is elaborately derived. Subsequently, the designed non-linear SMC control law and sliding surface are simulated to assess control performance. Acknowledging the limitation of the power source and DC motor specifications, the paper also explores control performance when the voltage to control R TGC is constrained within a specified range. The results demonstrate that the proposed method yields excellent control performance for both constrained and unconstrained control outputs.

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Numerical Simulation of 3D Printed Resin Droplet-Based Microfluidic Device With T-Junction Geometry

Numerical Simulation of 3D Printed Resin Droplet-Based Micro...

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International Conference on instrumentation control and Automation (ICA)

作者： Febricetta Zahraketzia Sarwono Muhammad Azhar Fa’iq Isa Anshori Narendra Kurnia Putra Engineering Physics Department Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Biomedical Engineering Department School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia

Droplet-based microfluidics is a device that can process fluids on a micro-scale to be broken down into uniform droplets at a relatively fast rate. The droplet forming process can be done in a T-junction droplet-based microfluidics configuration where a dispersed fluid is injected into a continuous fluid flow to produce dispersed fluid droplets. In general, droplet-based microfluidics research is done using experimental tests which are limited in empirical observation, especially for mass production cases where an optimized design is needed. In this study, a numerical simulation was carried out to replicate the droplet generation in the droplet-based microfluidic device based on three-dimensional (3D) printed resin T-junction geometric scheme. Numerical simulation was carried out in a two-dimensional (2D) simulation using the level-set method (LSM) based on the finite element method (FEM) using computational fluid dynamics (CFD) tools for two-phase flow. Water is used as the dispersed fluid, and silicone oil 350 cp is used as the continuous fluid streamed into microfluidic channels with a height of 0.5 mm and a flow rate of 2.5 ml/hr. This study provides the influence of physical parameters such as the shear stress, pressure, and velocity profile which are evaluated at an evaluation point which directly affects the formation of droplets due to the interaction between two immiscible fluids. In addition, suggestions for future droplet generation simulations in microfluidics simulations are also obtained.

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Fault Detection in Electric Drives Based on LSTM Autoencoder Model Machine Learning Approach

Fault Detection in Electric Drives Based on LSTM Autoencoder...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Galina Demidova Daniil Privalov Denis Semenov Dmitry Lukichev Zhitao Liu Alecksey Anuchin Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Institute of Cyber-Systems & Control Zhejiang University Hangzhou China Department of Electric Drives Moscow Power Engineering Institute Moscow Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Fault detection in electric drives is crucial for ensuring operational reliability and minimizing downtime. This paper provides a brief overview of the methods based on machine learning used for fault detection in electric drives. Additional this research presents a machine learning approach that utilizes the Long Short-Term Memory Autoencoder model for fault detection deal with bearing faults. A flowchart illustrating the implementation steps of the Long Short-Term Memory Autoencoder algorithm is included. Additionally, a case study on bearing faults in an electric drive system is presented to demonstrate the advantage of the proposed approach. By training the Long Short-Term Memory Autoencoder on operational data, accurate prediction of bearing faults is achieved, enabling timely maintenance interventions. It is shown that in the 7th epoch of training, the model achieved a notably high accuracy more than $\mathbf{9 9 \%}$. The results highlight the potential of Long Short-Term Memory Autoencoder models as a valuable tool for fault detection in electric drives, thereby improving system reliability and performance.

关键词： Training Vibrations Fault diagnosis Machine learning algorithms Fault detection Machine learning Prediction algorithms

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Comparison of Pilots' Abilities Connected with Military Flight Training using Simulation Technologies 8

Comparison of Pilots' Abilities Connected with Military Flig...

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8th International Conference on Military Technologies, ICMT 2021

作者： Jirgl, Miroslav Jalovecky, Rudolf Brno University of Technology Faculty of Electrical Engineering and Communication Department of Control and Instrumentation Brno Czech Republic University of Defense Faculty of Military Technology Brno Czech Republic

ISBN: (纸本)9781665437240

This paper presents evaluation and consequent comparison of pilots' abilities and limitations in different stages of training. The results are based on modelling and assessing of pilots' behavior during simulated flight. For these purposes, the tests were performed with two groups of pilots - students of the first and the last study year at University of Defense in Brno. The results provide observable differences in behavioral parameters such as reaction delay, or quality of control. These parameters could be used for objective evaluation of influence of pilot training on pilot's abilities and limits. © 2021 IEEE.

关键词： Human computer interaction

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Neural Network Approaches for Magnetization Surface Prediction in Switched Reluctance Motors: Classical, Radial Basis Function, and Physics-Informed Models

Neural Network Approaches for Magnetization Surface Predicti...

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Informatics, Electronics, and Radio engineering (PIERE), International Conference Problems of

作者： Galina Demidova Andrey Bogdanov Andrei Iaremenko Zhu Xirong Hao Chen Alecksey Anuchin Electric Drive Department Moscow Power Engineering Institute Moscow Russia Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

This paper investigates the prediction of magnetization surfaces in Switched Reluctance Motors using three distinct methods: classical Neural Networks, Radial Basis Function networks, and Physics-Informed Neural Networks. The study utilizes experimental data from a 7.5 kW SRM to assess the performance of these approaches, with all methods implemented in Python. Among the methods analyzed, PINN demonstrates the highest accuracy in predicting the magnetization surfaces, effectively capturing the underlying physical behavior of the motor. The computational costs of each method are evaluated, providing insights into training times, inference speeds, and floating-point operations per sample. The findings reveal that while NN offers a reasonable balance between performance and efficiency, the RBF method excels in training speed but shows limitations in capturing the physical dynamics of the system. In contrast, the PINN not only delivers superior predictive performance but also emphasizes the significance of incorporating physical principles into machine learning frameworks. The results highlight the applicability of these methods across various types of SRMs, suggesting their potential for enhancing control strategies in electrical and power engineering applications.

关键词： Training Power engineering Electric potential Accuracy Magnetization Radial basis function networks Machine learning Artificial neural networks Switched reluctance motors Computational efficiency

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Deployment & Evaluation of Modern Ros2 Navigation Algorithms for High Autonomy in Complex Environments

SSRN

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SSRN 2024年

作者： Horelican, Tomas Zalud, Ludek Central European Institute of Technology Brno University of Technology Brno 61200 Czech Republic Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno 61600 Czech Republic

The next-generation Robot Operating system (ROS2) framework has been gaining wider adoption among research as well as commercial applications thanks to its high modularity and attention to performance, safety, and deterministic behavior. The open-source community-driven Navigation2 project provides various latest higher-level algorithm implementations realized on top of the ROS2 foundation, relating to localization, mapping, and navigation. Although these algorithms have been thoroughly evaluated individually, a full solution integration still warrants more testing. This paper will assess the effectiveness and reliability of several of the available algorithms in complete navigation task scenarios in terms of times to reach the desired goal, planning and navigation failures, dynamic obstacle avoidance handling, and goal reaching precision. Configuration and deployment steps will be outlined for reproducibility. Directions for future extension options will also be mentioned based on the wider state-of-the-art situation in the field. All tests were performed using a custom-developed differential-drive robotic platform, where the Navigation2 features have been seamlessly integrated into our system. © 2024, The Authors. All rights reserved.

关键词： Mobile robots

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Generalized Relay Shifting Method for system Identification

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IFAC-PapersOnLine 2021年第1期54卷 498-503页

作者： M. Hofreiter Department of Instrumentation and Control Engineering Czech Technical University in Prague Faculty of Mechanical Engineering Czech Republic

The paper describes an improved relay identification method, which enables the estimation of the parameters of a transfer function with various structures (stable, unstable, non-minimum phase, integrating, time delay systems, etc.) from a single relay feedback test. This identification approach follows the original shifting method and offers new possibilities. The proposed identification is demonstrated on a very versatile second-order time-delayed model and on systems with different structures. The proposed approach can be used for the tuning of PID controllers. The shifting method was implemented into a PLC Tecomat Foxtrot and used to control the laboratory apparatuses called “Air Aggregate”, “Water Levitation” and “Air Levitation”

关键词： system identification relay control parameter estimation frequency characteristic auto-tuning PID control

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An Enhanced Octagonal Microstrip Patch Antenna Circularly Polarized for WIMAX and 5G Mid-Band Applications

An Enhanced Octagonal Microstrip Patch Antenna Circularly Po...

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Microwave and Antenna Symposium (IMAS), International

作者： Abdelilah Ait Lahcen Samira Chabaa Saida Ibnyaich Abdelouhab Zeroual Department of Physics Instrumentation signals and physics system Faculty of Sciences Semlalia Cadi Ayyad University Marrakesh Morocco Industrial Engineering Department LISAD Research Laboratory National School of Applied Sciences University Ibn Zohr Agadir Morocco

ISBN: (数字)9798350356359

ISBN: (纸本)9798350356366

In this paper, we present a new octagonal circularly polarized (CP) patch antenna that is suitable for applications such as WIMAX and 5G mid-band. We use a simple and efficient single-port excitation technique to achieve the desired result. The suggested antenna is printed on a Rogers RT/Duroid 5880 substrate with a 2.2 relative permittivity and a low loss tangent (0.0009). Its optimum dimension is 32 × 35 × 1.67 mm 3 . The square slot and stubs in the ground plane are utilized for generating circularly polarized radiation in the ground plane. The obtained bandwidth at -10 dB is from 2.87 GHz to 4 GHz (32.89%), and the axial ratio (AR) below 3 dB is within 3.31-3.69 GHz bandwidth (10.64%). All the obtained results are simulated using the tools (CST) and (HFSS). Our antenna has a compact size and is easy to construct; it has good performance, like a wide band in terms of a reflection coefficient equal to 1.13 GHz; and it is very adequate for mobile applications due to circular polarization, especially for WIMAX and 5G mid-band. This characteristic gives us more freedom to make it in any location.

关键词： Microwave antennas Polarization 5G mobile communication Patch antennas Resonant frequency Microstrip antennas WiMAX Reflector antennas Reflection coefficient Microstrip

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Variations in Open Circuit Voltage of Cycle-Aged Lithium-Ion Batteries due to Silicon-Enhanced Anodes

Variations in Open Circuit Voltage of Cycle-Aged Lithium-Ion...

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International Spring Seminar on Electronics Technology

作者： Michele Galasso Simon Schwunk Václav Knap Department of Electrotechnology Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic Department of Data Driven and Control Systems Porsche Engineering Services s.r.o Prague Czech Republic Department of System Engineering for Energy System Development Dr. Ing. h.c. F. Porsche AG Weissach Germany

ISBN: (数字)9798350385472

ISBN: (纸本)9798350385489

We present the outcomes of cycle aging tests performed on 16 lithium-ion battery cells of different types, both commercially available: INR21700M50LT produced by LG Energy Solution and INR18650M35A produced by Molicel. These cells exhibit differences in silicon content within the anode, coupled with the utilization of two different cathode materials. Throughout the testing process, the cells underwent cycling with different state of charge (SOC) windows: 0-90%, 0-30%, 30-60% and 60-90% as well as routine checkup phases, which include a measurement of the residual capacity and of the quasi-open circuit voltage (qOCV) curve. After 260 equivalent full cycles, we found substantial differences in the aging of the two cell types, evident in both their state of health and in the variations of the qOCV curve. The LG M50LT displayed a notably slower capacity fade up to 3x less with respect to the Molicel M35A under identical testing conditions. We also found out that cycling in the SOC window 0-90% produced the least pronounced variations in the qOCV curve of the LG M50LT, while the opposite is true for the Molicel M35A. This discrepancy cannot be explained only in terms of a different silicon content, therefore the reasons have to be searched in the complex interactions between the two anode materials, as well as in cathode material degradation.

关键词： Lithium-ion batteries Voltage measurement Aging Silicon State of charge Anodes Springs

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Synthesis of Dynamic Virtual-Inertia for Microgrid system Applications

Synthesis of Dynamic Virtual-Inertia for Microgrid System Ap...

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Intelligent control, Computing and Communications (IC3), International Conference on

作者： Jackson J. Justo Galina Demidova Dmitry Lukichev Nikolai Poliakov Peter Makolo Ramesh C. Bansal Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Department of Electrical Engineering University of Dar es Salaam Dar es Salaam Tanzania Depatment of Electrical Engineering University of Sharjah Sharjah United Arab Emirates Department of Electric Electronic and Computer Engineering University of Pretoria Pretoria South Africa

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

During the last two decades, interest in grid integrated renewable energy sources (RERs) into the electrical power grids has significantly grown. The motive being a promising strategy to reduce greenhouse gas emissions generated by conventional power plants (CPPs) and hence environmental consequences, decrease losses in distribution lines to improve power system supply efficiency and reliability to consumers. As a result, several CPPs are being replaced by RERs such as solar PV system, wind energy, micro hydro-turbine, fuel cell, and small gas power plants. These are installed close to customers on low-voltage and medium-voltage sites to reduce losses in the network and improve power quality, overall efficiency and reliability. However, grid-connected RERs via inverter decreases system inertia due to decrease in CPPs with rotating mass serving as an immediate natural response to frequency deviations following network disturbances. Therefore, this paper presents the design of dynamic virtual-inertia control (DVIC) scheme. The developed DVIC incorporates the mechanism to adjust active and reactive demand in response to any frequency and voltage variations to ensure system stability. To validate the suitability of the presented technique, MATLAB/Simulink model is developed and simulated under various operating scenarios. Using the results obtained simulation study, it is evidently the proposed DVIC shows improved performance is achieved than when no inertia control system applied.

关键词： Time-frequency analysis Renewable energy sources Power system dynamics Microgrids Power system stability Inverters Power system reliability Reliability Frequency control Power generation

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