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Periodica Polytechnica electrical engineering and Computer Science 2024年第4期68卷 319-326页

作者： Arató, Péter Markovits, Tibor Gergely Rácz, György Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar tudósok krt. 2. BudapestH-1117 Hungary

Railway interlocking systems can be implemented as distributed systems, where each part of a station is handled by a separate logical unit. The logical units of such systems form a network and communicate by interchanging messages. Such distributed architectures are well known in large industrial control systems. There are several design practices and also algorithmic task partitioning methods that are applicable in distributed control systems. Some of such methods can also be adapted in designing of railway interlocking systems as well. In the case of such systems, the communication time between components must be kept low. Namely each separate controller in a given route must be able to exchange their internal state within a limited time in order to permit the train movement authorization. This limitation could cause high traffic load, if every logical unit would be interconnected with each other. Therefore, the main goal of the minimization is to reduce the number of connections between logical units. This can achieved by distributing and assigning the topological railway objects to certain logical units. © 2024 Budapest University of Technology and Economics. All rights reserved.

关键词： Distributed parameter control systems

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Robust Trajectory Tracking control of a Differentially Flat Overhead Crane Using Sliding Mode

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2024年第2期68卷 213-221页

作者： Finta, Barnabás Kiss, Bálint Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics University Műegyetem rkp. 3. BudapestH-1111 Hungary

The control of overhead cranes is a benchmark problem, since it is an underactuated mechanism and its mathematical model is nonlinear. During operation the mass of the load is unknown, representing an uncertainty in the inertial parameters, which requires robustness of the controlled system. Our paper proposes a novel robust control method, that combines the differentially flat property of the dynamics with the robustness of the sliding mode control. The sliding surface is constructed to ensure the tracking of the configuration variables whose accelerations is calculated using the flatness property of the dynamic model. This formulation also allows achieving the matching conditions of the parameter uncertainties. Considering a simplified overhead crane model where the load motion is restricted in a vertical plane, two sliding surfaces are defined for the rope angle and rope length, since the cart position can be calculated from the previous two. The suggested control method is successfully validated in simulations as well as using a reduced-size overhead crane. For the real crane, the rope angle was estimated by utilizing the dynamical model, which uses the estimated cart acceleration. © 2024 Budapest University of Technology and Economics. All rights reserved.

关键词： Acceleration

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Finite Sample Frequency Domain Identification 63

Finite Sample Frequency Domain Identification

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Tsiamis, Anastasios Abdalmoaty, Mohamed Smith, Roy S. Lygeros, John Automatic Control Laboratory Department of Information Technology and Electrical Engineering Eth Zürich Zürich8092 Switzerland

ISBN: (纸本)9798350316339

We study non-parametric frequency-domain system identification from a finite-sample perspective. We assume an open loop scenario where the excitation input is periodic and consider the Empirical Transfer Function Estimate (ETFE), where the goal is to estimate the frequency response at certain desired (evenly-spaced) frequencies, given input-output samples. We show that under sub-Gaussian colored noise (in timedomain) and stability assumptions, the ETFE estimates are concentrated around the true values. The error rate is of the order of O((du+Sdu dy) SM / N tot ), where N tot is the total number of samples, M is the number of desired frequencies, and du, dy are the dimensions of the input and output signals respectively. This rate remains valid for general irrational transfer functions and does not require a finite order state-space representation. By tuning M, we obtain a N tot -1 / 3 finite-sample rate for learning the frequency response over all frequencies in the H∞ norm. Our result draws upon an extension of the Hanson-Wright inequality to semi-infinite matrices. We study the finite-sample behavior of ETFE in simulations. © 2024 IEEE.

关键词： Frequency response

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Investigation of the temperature impact on the operation of a nonlinear electromagnetic vibration energy harvester

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Bulletin of the Polish Academy of Sciences: Technical Sciences 2025年第3期73卷

作者： Kulik, Marcin Gabor, Rafal Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Opole Poland

This paper presents a detailed study of the impact of temperature on the performance of a nonlinear electromagnetic vibration energy harvester, which is applied in autonomous power systems. The variability of material properties under the influence of temperature, such as stiffness, damping, and magnetic induction, significantly affects the operational characteristics of the device. A mathematical model accounting for these factors, including linear and quadratic temperature coefficients, optimized using a genetic algorithm, is presented in the article. The simulation results were compared with experimental data, showing good agreement, particularly in the range of frequency bandwidth and output voltage. It was demonstrated that higher temperatures lead to a reduction in mechanical and magnetic stiffness, resulting in decreased energy conversion efficiency. © 2025 The Author(s).

关键词： Vibration analysis

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Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features 23rd

Estimating Chlorophyll Content from Hyperspectral Data Usin...

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23rd International Conference on Computational Science, ICCS 2023

作者： Ruszczak, Bogdan Wijata, Agata M. Nalepa, Jakub Faculty of Electrical Engineering Automatic Control and Informatics Department of Informatics Opole University of Technology Opole Poland Faculty of Biomedical Engineering Silesian University of Technology Zabrze Poland Faculty of Automatic Control Electronics and Computer Science Department of Algorithmics and Software Silesian University of Technology Gliwice Poland KP Labs Gliwice Poland

ISBN: (纸本)9783031360206

Non-invasive estimation of chlorophyll content in plants plays an important role in precision agriculture. This task may be tackled using hyperspectral imaging that acquires numerous narrow bands of the electromagnetic spectrum, which may reflect subtle features of the plant, and inherently offers spatial scalability. Such imagery is, however, high-dimensional, therefore it is challenging to transfer from the imaging device, store and investigate. We propose a machine learning pipeline for estimating chlorophyll content from hyperspectral data. It benefits from the Savitzky-Golay filtering to smooth the (potentially noisy) spectral curves, and from gradient-based features extracted from such a smoothed signal. The experiments revealed that our approach significantly outperforms the state of the art according to the widely-established estimation quality metrics obtained for four chlorophyll-related parameters. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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Online Residual Learning from Offline Experts for Pedestrian Tracking 63

Online Residual Learning from Offline Experts for Pedestrian...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Vlachos, Anastasios Tsiamis, Anastasios Karapetyan, Aren Balta, Efe C. Lygeros, John Eth Zürich Automatic Control Laboratory Department of Information Technology and Electrical Engineering Zürich8092 Switzerland Control and Automation Group Inspire ZürichAG 8005 Switzerland The Automatic Control Laboratory Switzerland

ISBN: (纸本)9798350316339

In this paper, we consider the problem of predicting unknown targets from data. We propose Online Residual Learning (ORL), a method that combines online adaptation with offline-trained predictions. At a lower level, we employ multiple offline predictions generated before or at the beginning of the prediction horizon. We augment every offline prediction by learning their respective residual error concerning the true target state online, using the recursive least squares algorithm. At a higher level, we treat the augmented lower-level predictors as experts, adopting the Prediction with Expert Advice framework. We utilize an adaptive softmax weighting scheme to form an aggregate prediction and provide guarantees for ORL in terms of regret. We employ ORL to boost performance in the setting of online pedestrian trajectory prediction. Based on data from the Stanford Drone Dataset, we show that ORL can demonstrate best-of-both-worlds performance. © 2024 IEEE.

关键词： Prediction models

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State of Charge Estimation in Real Time of Li-Ion Battery Integrated on Electric Vehicles 8

State of Charge Estimation in Real Time of Li-Ion Battery In...

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8th International Symposium on electrical and Electronics engineering, ISEEE 2023

作者： Selim, Elena Voncila, Ion 'Dunarea de Jos' University of Galati Automatic Control and Electrical Engineering Department Galati Romania

ISBN: (纸本)9798350301670

This paper presents an assay of the dynamic state of charge characteristics of a Li-ion battery. It is proposed an approach of forecasting battery's state of charge that can be used by battery management system to predict the remained quantity of charge within the battery at a certain time, based on real time data acquisition and using a simplified electrical circuit model that simulates, with small errors, the battery signal, with experimentally validation of the results. © 2023 IEEE.

关键词： Battery management systems

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Estimating the AGV load and a battery lifetime based on the current measurement and random forest application

Estimating the AGV load and a battery lifetime based on the ...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Hanzel, Krzysztof Grzechca, Damian Ziebinski, Adam Chruszczyk, Lukas Janus, Artur Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Telecommunications and Teleinformatics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Electronics Electrical Engineering and Microelectronics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Distributed Systems and Informatics Devices Gliwice Poland Silesian University of Technology Student of Electrical EngineeringFaculty of Electrical Engineering Gliwice Poland

ISBN: (纸本)9798350324457

The paper describes the energy consumption from the battery based on the current measurements for various cases, i.e., speed (PWL adjustment) and loads. The main purpose of the research is to have additional and reliable information about power consumption and battery life estimation for autonomous guided vehicles (AGV). The authors propose a two-step algorithm. In the first step, a linear classifier was proposed. Then, the KNN classifier was tested;however, it did not give satisfactory results, so it was finally decided to use the random forest to estimate the load and PWL. The time domain current measurement is evaluated, and the beforementioned algorithms process the selected statistical measures. It has been proven that a two-step algorithm allows for achieving high accuracy. Based on the current observation, the paper is a good starting point for further investigation of the AGV because it is usually implemented in the AGV - so it does not require additional hardware. Moreover, it can lead to better energy management and increase battery lifetime. © 2023 IEEE.

关键词： AGV load estimation machine learning Prediction of energy consumption random forest

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Trajectory Tracking of the Octo-Rotor Unmanned Aerial Vehicle Exposed to Parametric Uncertainties and External Disturbances Using First Order Sliding Mode control 29

Trajectory Tracking of the Octo-Rotor Unmanned Aerial Vehicl...

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29th International Conference on Information, Communication and Automation Technologies, ICAT 2023

作者： Salihbegovic, Almir Capin, Vedad Sokic, Emir Osmic, Nedim University of Sarajevo Faculty of Electrical Engineering Department for Automatic Control and Electronics Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9798350399837

control design for trajectory tracking of multi-rotor aerial vehicles (MAVs) represents a challenging task due to the under-actuated property, highly nonlinear and cross-coupled dynamics, modeling errors, parametric uncertainties and external disturbances. This paper presents the design of the first order sliding mode control (FOSMC) algorithm for trajectory tracking of the octo-rotor unmanned aerial vehicle (UAV) in the presence of various disturbances. The highly nonlinear octo-rotor UAV dynamics is considered via the generalized framework for MAVs modeling. The stability analysis of the closed-loop system is presented using the Lyapunov based approach. The developed FOSMC exhibits finite-time convergence of the octo-rotor trajec-tories to the sliding manifold and the asymptotic stability of the equilibrium in the presence of vanishing disturbances. Simulation studies show a superior tracking performance and robustness properties of the FOSMC in comparison with the concurrent techniques for trajectory tracking of the octo-rotor UAV in the presence of internal and external disturbances. © 2023 IEEE.

关键词： Sliding mode control

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Thermal Regime of Induction Motors After Rewinding for Other Characteristics Than Those Established by Design 8

Thermal Regime of Induction Motors After Rewinding for Other...

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8th International Symposium on electrical and Electronics engineering, ISEEE 2023

作者： Voncila, Ion Selim, Elena Paraschiv, Ion Costin, Madalin 'Dunarea de Jos' University of Galati Automatic Control and Electrical Engineering Department Galati Romania

ISBN: (纸本)9798350301670

This paper explores alterations in the thermal behavior of rewound induction motors with the aim of achieving functional characteristics different from those initially established during the design process. Through the utilization of Motor-CAD software, the distribution of temperatures within the induction motor structure is analyzed. It is revealed that when rewinding is performed to attain alternative functional characteristics while maintaining the required magnetic field strength, induction motor forces, and current density, the resulting thermal regime differs significantly from the reference version. This divergence can profoundly impact the motor's operational lifespan. © 2023 IEEE.

关键词： Induction motors

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