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2024 International Conference on control, Automation and Diagnosis, ICCAD 2024

作者： Alsayegh, Hamad Almuhaihi, Mohammad University of Sheffield Automatic Control and Systems Engineering Department United Kingdom University of Michigan Aerospace Engineering Department United States

ISBN: (纸本)9798350361025

This Radio Frequency (RF) source location estimation scheme utilizes angles of arrival of a signal source acquired from the Multiple Signal Classification (MUSIC) algorithm. In reliance on that as a Maximum Likelihood estimation, the obtained angles are augmented to an adaptive probability distribution function (PDF), which is then employed to estimate the location of the RF emitter by feeding the PDF to an Extended Kalman Filter (EKF). Numerous use cases and theoretical works have been presented in the literature. Some of these papers mention applications regarding implementing DoA algorithms in dynamic platforms like in [9], [10], [11], [12], and [13] mostly all of them use Uniform Linear Array (ULA), four of them working with Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), and one with MUSIC Direction of Arrival (DoA) method. In [14], MUSIC was used with a Uniform Circular Array (UCA). However, less coupling has been incorporated with the covariance of measurement error. In this paper, the dynamic 2D DoA MUSIC algorithm used in a platform, applied together with an EKF estimation and coupled with measurement covariance in a simulation environment to precisely locate an RF emitter and provide high-resolution Line-of-Sight (LOS). © 2024 IEEE.

关键词： Multiple signal classification

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A Machine-Learning Approach for Prognosis of Oscillating Water Column Wave Generators 27

A Machine-Learning Approach for Prognosis of Oscillating Wat...

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27th International Conference on Circuits, systems, Communications and Computers, CSCC 2023

作者： Garrido, Izaskun Lecube, Jon Mzoughi, Fares Aboutalebi, Pavam Ahmad, Irfan Cayuela, Salvador Garrido, Ailtor University of the Basque Country-UPV/EHU Automatic Control Group Acg Department of Automatic Control and Systems Engineering Bilbao Spain

ISBN: (纸本)9798350337594

Wave excitations cause structural vibrations on the Oscillating Water Columns (OWC) lowering the generated power and reducing the life expectancy. The problem of generator deterioration has been considered for the Mutriku MOWC plant and a machine learning-based approach for prognosis and fault characterization has been proposed. In particular, the use of k-Nearest Neighbors (kNN) models for predicting the time to failure of OWC generators has been proposed. The analysis is based on data collected from sensors that measure various operational parameters of the turbines. The results demonstrate that the proposed kNN model is an excellent choice for reducing maintenance costs by enabling scheduling months in advance. The model's high accuracy in predicting generator failures allows for timely and cost-effective maintenance, preventing costly breakdowns and improving turbine efficiency. These results highlight the potential of machine learning-based approaches for addressing maintenance challenges in the energy sector and underscore the importance of proactive strategies in reducing operational costs and maximizing energy production. © 2023 IEEE.

关键词： Cost effectiveness

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Hierarchically Distributed Optimization with a Flexible and Complexity-Reducing Algorithm

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Journal of systems Science & Complexity 2024年第6期37卷 2530-2555页

作者： LIANG Shu ZHANG Lei WEI Yiheng LIU Yemo Department of Control Science and Engineering Tongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai 200092China School of Mathematics Southeast UniversityNanjing 211189China Beijing Aerospace Automatic Control Institute Beijing 100854China

In this paper,the authors consider distributed convex optimization over hierarchical *** authors exploit the hierarchical architecture to design specialized distributed algorithms so that the complexity can be reduced compared with that of non-hierarchically distributed *** this end,the authors use local agents to process local functions in the same manner as other distributed algorithms that take advantage of multiple agents'computing ***,the authors use pseudocenters to directly integrate lower-level agents'computation results in each iteration step and then share the outcomes through the higher-level network formed by *** authors prove that the complexity of the proposed algorithm exponentially decreases with respect to the total number of *** support the proposed decomposition-composition method for agents and pseudocenters,the authors develop a class of *** operators are generalizations of the widely-used subgradient based operator and the proximal operator and can be used in distributed convex ***,these operators are closed with respect to the addition and composition operations;thus,they are suitable to guide hierarchically distributed design and ***,these operators make the algorithm flexible since agents with different local functions can adopt suitable operators to simplify their ***,numerical examples also illustrate the effectiveness of the method.

关键词： Complexity convergence convex optimization distributed algorithm hierarchical network

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Ensuring Correct Relay Protection Functioning in Transient Modes With Saturation of Current Transformers 7

Ensuring Correct Relay Protection Functioning in Transient M...

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7th International Scientific and Technical Conference Relay Protection and Automation, RPA 2024

作者： Panashchatenko, A.V. Yablokov, A.A. Department of Electric Power Systems Automatic Control Ivanovo State Power Engineering University Ivanovo Russia

ISBN: (纸本)9798331501105

Electromagnetic current transformers, invented more than 100 years ago, are today the most widespread type of preliminary current converters, used in organizing metrological channels for commercial and technical electricity metering, measuring and relay protection systems. Despite their relatively simple design and modest price, today the question of using unconventional preliminary current converters (Rogowski coils, optical transformers, galvanic-magnetic sensors) is being increasingly raised [1]. This situation is due to the shortcomings of electromagnetic current transformers (CT): large weight and dimensions), explosion and fire hazard, and also saturation of their magnetic conductor in transient modes with the presence of an aperiodic component in short circuiting (SC) current. The phenomenon of saturation leads to significant distortion of the transmitted secondary signal, which in turn may become the cause of overprotection with external SC or delayed protection with internal SC. Russian and international practice in coordinating CT characteristics and relay protection requirements presuppose ensuring correct operation of relay protection systems not only in steady, but also in transient modes with possible saturation of CT magnetic conductors [2]-[5]. At present, testing the correct operation of relay protection and automation devices (RPAD) in transient modes is carried out using the CT saturation time, which under the specific conditions of the location of the CT should be more than the exact current conversion time required for correct operation of the connected RPAD. This time is calculated by special approved methods [2]. Such use of two extreme CT magnetic conductor conditions (saturated/unsaturated), without regard to the current waveform itself may lead to significant inaccuracies in evaluating the correctness of RPAD operation. Fig 1 shows two instances of saturation in one and the same CT in different operating conditions and with the same time be

关键词： Relay protection

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Assessment of the Digital Measuring Transformers Application in Power Distribution Zone

Assessment of the Digital Measuring Transformers Application...

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2024 International Russian Automation Conference, RusAutoCon 2024

作者： Filatova, Galina Lebedev, Vladimir Tolstoukhov, Andrey Ivanovo State Power Engineering University Automatic control of electric power systems department Ivanovo Russia

Combined digital measuring current and voltage transformers (DCVTs), developed at Ivanovo State Power engineering University (ISPEU), are innovative products. The researchers have accumulated some operating experience of devices in existing electrical installations and experience in numerous laboratory tests. At the same time, a number of aspects of the DCVT use still remain the subject of research, for example, the functioning of DCVTs as a primary sensor for protection against single-phase ground faults (SPGFs). It is also necessary to evaluate the effect of the introduction of DCVTs in the overhead networks of power distribution zones (PDZs), primarily from the point of view of reducing the costs of searching for the location of the SPGFs. The procedure for searching for an electrical fault using the functions built into DCVT 6 -10 kV is described. The article describes the effects of the introduction of DCVTs in 6-10 kV distribution zones, and also provides criteria that allow us to assess in which cases the use of DCVTs and technologies based on them will be most beneficial. © 2024 IEEE.

关键词： Distribution transformers

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Processing Signals in Digital Current Measuring Transformers to Quickly Obtain the Vector for RPA Purposes

Processing Signals in Digital Current Measuring Transformers...

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2024 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2024

作者： Lebedev, Vladimir D. Grigorev, Denis G. Kuzmina, Nataliya V. Ivanovo State Power Engineering University Department Of Electric Power Systems Automatic Control Ivanovo Russia

ISBN: (纸本)9798350395013

In the development of secondary systems of stations and substations, including relay protection, automation, control, electric power metering and other features, there have recently been qualitative changes related to the introduction of digital technologies. The introduction of digital technologies is supported by innovative development programmes such as «Digital Transformation 2030». The essence of introducing digital technologies is related to the use of digital data transmission channels according to common standards. 'Digital substation' projects are being actively implemented with transmission of digital information at all levels, starting with primary equipment, including transmission of information, both from current and voltage measuring transformers, and switchgear. Currently, digital measuring transformers are being actively developed and beginning to be introduced, in which information on measured current and voltage is presented in a digital code. New approaches to measuring primary current and voltage, and the transmission of information pose new challenges and open up new prospects of improving signals processing methods used for relay protection purposes. This determines the relevance of the objective of our research - developing and studying approaches to the digital processing of signals in digital current and voltage measuring transformers. As a result, the approach to determining synchronized values of current vectors was studied by processing information obtained from primary current converters. The characteristics of the algorithm for obtaining the vector were analyzed, and the dependences of errors on the influence of distorting factors were plotted. The proposed approach to obtaining the vector is a development of the existing approach by obtaining information from current sensors operating on different physical principles. The study shows the advantages of the proposed method. © 2024 IEEE.

关键词： Relay protection

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A low voltage ride through (LVRT) strategy using an active superconductor fault current limiter (SFCL) for a virtual synchronous generator (VSG) connected to a weak grid

A low voltage ride through (LVRT) strategy using an active s...

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2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023

作者： Kisinga, Daniel Angelo Trodden, Paul Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9798350396782

A function of grid-connected VSGs is facilitating the recovery of sagging voltages to nominal levels, achieved by supplying reactive power (Q) to the grid. During normal operation, however, a VSG is required to supply active power (P) at unity power factor and, therefore, in order to supply the Q required in the event of a sagging voltage, the VSG must change its control mode from P-supply to PQ- or Q-supply. Such transitions may induce high current flows—caused by the sudden reduction of the voltage during the sag—which are potentially damaging to the power semiconductor devices of the VSG;if these effects are to be avoided, the supplied current must be limited to its rated value, but this may result in a low power transfer from the VSG to the grid. To circumvent these problems, in this paper we propose a LVRT strategy using an active SFCL. We show that the proposed strategy, which combines a PQ decoupling scheme with an active SFCL, ensures maximum power transfer with an improved transient response during LVRT. © 2023 IEEE.

关键词： active SFCL LVRT PQ control voltage sag VSG

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Reinforcement Learning for Multiple-Input Multiple-Output control in Metal Additive Manufacturing 20

Reinforcement Learning for Multiple-Input Multiple-Output Co...

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20th IEEE International Conference on Networking, Sensing and control, ICNSC 2023

作者： Grais, Emad M. Notley, Scott V. Panoutsos, George University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798350369502

In laser powder bed fusion additive manufacturing, using fixed values for the process parameters (beam power, velocity, and other parameters) may not lead to homogeneously distributed heat in all locations in the build, especially around complex design features. This could lead to builds with defects, leading to poor mechanical and micro-structure properties. To guarantee heat homogeneity, the process parameters need to be actively controlled to adapt to different locations in the build. Builds with varying geometrical features would need different control strategies. In this work, we propose to use reinforcement learning (RL) to control, for the first time, simultaneously multiple AM process parameters to achieve consistent melting properties. Our results show that using RL as a multiple-input multiple-output control system achieves a more consistent meltpool geometry. © 2023 IEEE.

关键词： Reinforcement learning

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Nonlinear Identification for control by Using HARMAX Models 9

Nonlinear Identification for Control by Using HARMAX Models

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Culita, Janetta Stefanoiu, Dan Nica, Andreea-Maria University 'Politehnica' of Bucharest Department of Automatic Control and Systems Engineering Romania University 'Politehnica' of Bucharest Faculty of Automatic Control and Computers Romania

ISBN: (纸本)9798350311402

The purpose of this article is to perform a comparison between two identification models: a nonlinear one referred to as HARMAX and a classical linear one, of Box-Jenkins (BJ) type. The first model modifies a classical ARMAX model by applying Hammerstein polynomials on input, output, and noise signals. Identification of models was performed by means of Multi-Step Least Squares Method, as described into the article. The simulations on a real-world plant, namely ASTANK2, a fluidic system with two inputs, two outputs and nonlinear static characteristic, have proven that the HARMAX model performs better than the BJ model and provides more accurate useful models to be integrated into closed loop configurations. © 2023 IEEE.

关键词： Optimization

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On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO 32

On Sparse Nonlinear System Identification Using Orthogonal M...

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32nd Mediterranean Conference on control and Automation, MED 2024

作者： Wei, Hua-Liang The University of Sheffield The Department of Automatic Control and Systems Engineering SheffieldSI 3JD United Kingdom

ISBN: (纸本)9798350395440

System identification, as a rich and vital discipline, provides a practical and general methodology and tool for quantitatively modelling the input-output relationships of dynamical systems. Sparse nonlinear system identification (SNSI), especially parametric sparse nonlinear system identification (PSNSI), is an important and vital field of research with a wide range of applications. This work is concerned with PSNSI and particular attention is paid to the assessment of three well-known mainstream sparse learning methods, namely, orthogonal least squares (OLS), orthogonal matching pursuit (OMP) and least absolute shrinkage and selection operator (LASSO). The performances of these methods are tested and evaluated through three case studies relating to PSNSI problems. The research results and findings of this work provide practical useful information and guidance for researchers to better choose or adapt methods when solving PSNSI problems. © 2024 IEEE.

关键词： Dynamical systems

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