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arXiv 2025年

作者： Escaño, Juan Manuel Ridao-Olivar, Miguel A. Ierardi, Carmelina Sánchez, Adolfo J. Rouzbehi, Kumars Department of Systems Engineering and Automatic Control Universidad de Sevilla Sevilla41092 Spain Department of Engineering Universidad Loyola Andalucía Sevilla41704 Spain

This work has as main objective the development of a soft-sensor to classify, in real time, the behaviors of drivers when they are at the controls of a vehicle. Efficient classification of drivers’ behavior while driving, using only the measurements of the sensors already incorporated in the vehicles and without the need to add extra hardware (smart phones, cameras, etc.), is a challenge. The main advantage of using only the data center signals of modern vehicles is economical. The classification of the driving behavior and the warning to the driver of dangerous behaviors without the need to add extra hardware (and their software) to the vehicle, would allow the direct integration of these classifiers into the current vehicles without incurring a greater cost in the manufacture of the vehicles and therefore be an added value. In this work, the classification is obtained based only on speed, acceleration and inertial measurements which are already present in many modern vehicles. The proposed algorithm is based on a structure made by several Neurofuzzy systems with the combination of projected data in components of various Principal Component Analysis. A comparison with several types of classical classifying algorithms has been made. © 2025, CC BY.

关键词： Smartphones

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Development and Research of the Rogowsky Coil Design with Low Sensitivity to Conductor Displacement

Development and Research of the Rogowsky Coil Design with Lo...

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2022 International Ural Conference on Electrical Power engineering, UralCon 2022

作者： Yablokov, Andrey Kabakov, Pavel Ivanovo State Power Engineering University Named after V.I. Lenin Department of Electric Power Systems Automatic Control Ivanovo Russia

ISBN: (数字)9781665466523

ISBN: (纸本)9781665466523

The Russian energy sector underwent significant changes at the end of the 20th and the beginning of the 21st century [1]. The rapid development of engineering and technology in Russia inevitably led to a constant increase in the power system capacity, which in turn led to an increase in the levels of short circuit (SC) currents. Under such conditions, the problems of ensuring static and dynamic stability, the development of automatic emergency control (AEC) systems and the creation of new types of relay protection and automation systems (RPA) have become priority issues for the development of the electric power industry [2]. In particular, recently one of the most important issues is the creation of more advanced current sensors based on non-traditional primary converters [3-7]. A huge breakthrough in solving the tasks was made thanks to the development of computer technology. Electromagnetic and static relays were replaced by microprocessor technologies, the main advantage of which is a high-resistance input, which allows to use previously inaccessible low-power devices. One of these devices is the Rogowski coil, which is one of the types of nontraditional primary current converters. The disadvantage of the split Rogowski coil is the dependence of the metrological characteristics of the transducer on the position of the conductor. This article is devoted to the development of methods for reducing this dependence. © 2022 IEEE.

关键词： Automation

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Fast Prototyping of In-Pavement Airport Navigation Lamp Prism Classification

Fast Prototyping of In-Pavement Airport Navigation Lamp Pris...

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Jakub Suder Tomasz Marciniak Division of Electronic Systems and Signal Processing Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Poznań Poland

The paper presents an analysis of fast selection of neural network for the purpose of visual analysis of mechanical wear on prism lenses of in-pavement airport navigational lighting systems. This issue is particularly important in terms of aviation safety and navigational lighting control, regulated by EASA and ICAO. The article is the next stage of the development of the system for the vision control of lamps, in which the concept of using a different neural network with an increased data set prepared by the authors is presented. The Deep Network Designer tool included in the Matlab 2022b environment was used. The solution using the GoogLeNet neural network allows for the classification of lamps with an accuracy of 88.37%.

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A MATHEMATICAL MODEL ILLUSTRATING THE INHIBITORY EFFECT OF THE MICRO RNA ON THE PROTEIN PRODUCTION

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2023年第4期85卷 101-106页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

The present paper introduces a mathematical model for the cross-talking between microRNA and Protein. Studying the qualitative properties of the proposed model, we infer that the microRNA is an inhibitor for the Prote... 详细信息

关键词： Proteins

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Development of a Method of automatic Single Phase to Earth Fault Current Compensation in Networks with Arc Suppression Coil in Neutral Point 5

Development of a Method of Automatic Single Phase to Earth F...

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5th International Youth Scientific and Technical Conference Relay Protection and Automation, RPA 2022

作者： Kutumov, Yu. D. Shadrikova, T.Yu. Shuin, V.A. Ivanovo State Power Engineering University Jsc so Ups Branch of Ido Center Automatic Control of Electrical Power Systems Department Ivanovo Russia

ISBN: (数字)9798350399912

ISBN: (纸本)9798350399912

At the present time approximately 20% of 6-10 kV cable networks operate with resonant-grounded via arc-suppression coil (ASC) neutral point [1]. Meanwhile, an increasing number of experts note that resonant grounding of neutral point via ASC cannot solve the issue of single phase to earth faults (SPEF) negative consequences and their most dangerous variation, which is called intermittent arc single phase to earth fault (IASPEF) [for example, 2]. The main reasons for the inadequate efficiency of this neutral grounding mode are higher harmonic components in steady-state SPEF current, as well as higher harmonic components which are due to intensive transient processes during SPEF, which cannot be compensates by the usage of ASC. For the compensation of these components it is necessary to apply the devices, which will be complement ASC;these devices, together with the ASC, can be called a system of full compensation of the SPEF current. © 2022 IEEE.

关键词： Electric grounding

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Towards safe Bayesian optimization with Wiener kernel regression

arXiv

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arXiv 2024年

作者： Molodchyk, Oleksii Teutsch, Johannes Faulwasser, Timm The Institute of Control Systems Hamburg University of Technology Hamburg21073 Germany The Chair of Automatic Control Engineering Technical University of Munich Munich80333 Germany

Bayesian Optimization (BO) is a data-driven strategy for minimizing/maximizing black-box functions based on probabilistic surrogate models. In the presence of safety constraints, the performance of BO crucially relies on tight probabilistic error bounds related to the uncertainty surrounding the surrogate model. For the case of Gaussian Process surrogates and Gaussian measurement noise, we present a novel error bound based on the recently proposed Wiener kernel regression. We prove that under rather mild assumptions, the proposed error bound is tighter than bounds previously documented in the literature which leads to enlarged safety regions. We draw upon a numerical example to demonstrate the efficacy of the proposed error bound in safe BO. Copyright © 2024, The Authors. All rights reserved.

关键词： Errors

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On extended state Kalman filter-based identification algorithm for aerodynamic parameters

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control Theory and Technology 2024年第2期22卷 235-243页

作者： Wenyan Bai Ruizhe Jia Peng Yu Wenchao Xue Beijing Aerospace Automatic Control Institute Beijing100854China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China

In this paper, the problem of time-varying aerodynamic parameters identification under measurement noises is studied. By analyzing the key aerodynamic parameters that affect the aircraft control system, a system model with extended states for identifying equivalent aerodynamic parameters is established, and error parameters are extended to the system state, avoiding the difficulty caused by the unknown dynamic in the system. Furthermore, an identification algorithm based on extended state Kalman filter is designed, and it is proved that the algorithm has quasi-consistency, thus, the estimation error can be evaluated in real time. Finally, the simulation results under typical flight scenarios show that the designed algorithm can accurately identify aerodynamic parameters, and has desired convergence speed and convergence precision.

关键词： Aerodynamic parameters Parameter identification Extended state Kalman filter

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Physics-Informed Neural Networks for Learning the Parameters of Commercial Adaptive Cruise control systems

Physics-Informed Neural Networks for Learning the Parameters...

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IEEE Conference on Decision and control

作者： Theocharis Apostolakis Konstantinos Ampountolas Department of Mechanical Engineering Automatic Control and Autonomous Systems Laboratory University of Thessaly Volos Greece

This paper develops a physics-informed neural network (PINN) for learning the parameters of commercially implemented adaptive cruise control (ACC) systems. The constant time-headway policy (CTHP) is adopted to emulate the core functionality of stock ACC systems (proprietary control logic and its parameters) which is not publicly available. Multi-layer artificial neural networks is a class of universal approximators, and thus the developed PINN can serve as a surrogate approximator to capture the longitudinal dynamics of ACC-engaged vehicles and efficiently learn the unknown parameters of the CTHP. The ability of the PINN to infer the unknown ACC parameters is tested on both synthetic and empirical data of space-gap and relative velocity involved ACC-engaged vehicles in platoon formation. The results have demonstrated the superior predictive ability of the proposed PINN to learn the unknown design parameters of stock ACC systems of different vehicle makes. The set of ACC model parameters obtained from the PINN revealed that the stock ACC system of the considered vehicles in three experimental campaigns is neither $\mathcal{L}_systems$ nor $\mathcal{L}_{\infty}$ string stable.

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Robotic Assembly of Aviation Fuel Probes and Parameters Optimisation Using Bees Algorithm

Robotic Assembly of Aviation Fuel Probes and Parameters Opti...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Xiaoguo Lin Mo Qu Marc Auledas Noguera Ashutosh Tiwari Yongjing Wang Department of Mechanical Engineering University of Birmingham Birmingham United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

ISBN: (数字)9798350340266

ISBN: (纸本)9798350340273

Robots for automated assembly are being progressively implemented in the aerospace manufacturing sector. The dim and complex internal structure of the aircrafts significantly complicates the operation of robotic arms through visual system. This paper proposes an assembly strategy based on force-feedback control for fuel probe installation inside the aircraft wings, enabling autonomous assembly of tubular objects under translational and rotational misalignments. Furthermore, the Bees Algorithm (BA) is employed in a simulation environment to optimise the parameters of this control strategy. The results demonstrate that BA can effectively decrease the overall installation time while simultaneously proving the effectiveness of this method and its potential applicability in aerospace manufacturing.

关键词： Bees algorithm Robotic assembly Service robots Visual systems Fuels Aircraft manufacture Probes

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Application and Research of Digital Current and Voltage Measuring Transformers 6–10 Kv for Single-Phase Earth Fault Location

Application and Research of Digital Current and Voltage Meas...

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International Ural Conference on Measurements (UralCon)

作者： Vladimir Shuin Galina Filatova Natalya Kuzmina Automatic control of electric power systems Ivanovo State Power Engineering University Ivanovo Russia

Medium-voltage distribution networks (6–10 kV in Russia) are the largest and at the same time the most problematic link in the power supply system of consumers. Improving the reliability of medium-voltage overhead distribution networks is still an urgent task. The task of improving the reliability of networks is directly related to the improvement of algorithms and devices for single-phase earth fault (SPEF) location. Researches of Ivanovo State Power engineering University (ISPEU) and an industrial partner developed automated power control and metering station (APCMS) based on digital measurement voltage and current transformers (DCVT). APCMS contains the function of detecting a damaged section (branch) of a 6–10 kV overhead power transmission line (OTL). In the installed APCMS sample the function works in the test mode, so additional studies of DCVT and APCMS for the tasks of fault location are relevant. The article presents the methodology for determining the faulted section in case of SPEF, considers the features of application of 6–10 kV DCVT and APCMS for determining the faulted section, and also presents the methodology for additional studies of DCVT during SPEFs, including arc faults.

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