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Photovoltaic Arrays’ Dynamic Model Parameter Estimation

IFAC-PapersOnLine 2023年第2期56卷 6845-6850页

作者： Alexey Bobtsov Fernando Mancilla-David Stanislav Aranovskiy Romeo Ortega Faculty of Control Systems and Robotics ITMO University 197101 Saint Petersburg Russia Laboratory “Control of Complex Systems” Institute of Problems of Mechanical Engineering V.O. Bolshoj pr. 61 St. Petersburg 199178 Russia University of Colorado Denver Denver Colorado 80204 USA IETR – CentaleSupélec Cesson-Sévigné France Departamento Académico de Sistemas Digitales ITAM México

This paper deals with the problem of on-line identification of the parameters of a realistic dynamical model of a photovoltaic array connected to a power system through a power converter. It has been shown in the literature that, when interacting with switching devices, this model is able to better account for the PV array operation, as compared to the classical five parameter static model of the array. While there are many results of identification of the parameters of the latter model, to the best of our knowledge, no one has provided a solution for the aforementioned more complex dynamic model since it concerns the parameter estimation of a nonlinear, underexcited system with unmeasurable state variables. Achieving such objective is the main contribution of the paper. We propose a new parameterisation of the dynamic model, which, combined with the powerful identification technique of dynamic regressor extension and mixing, ensures a fast and accurate online estimation of the unknown parameters. Realistic numerical examples via computer simulations are presented to assess the performance of the proposed approach—even being able to track the parameter variations when the system changes operating point.

关键词： photovoltaic arrays on-line parameter estimation identification of nonlinear systems

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Optimal control of Automatic Manipulator for Elimination of Galvanic Line Load Oscillation

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica Electrical engineering and computer science 2021年第2期65卷 91-105页

作者： Autsou, Siarhei Rassõlkin, Anton Vaimann, Toomas Demidova, Galina Saroka, Viktor Karpovich, Dzmitry Kallaste, Ants Department of Automation of Production Processes and Electrical Engineering Faculty of Chemical Technology and Technique Belarussian State Technological University 13a Sverdlova str. Minsk220006 Belarus Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology 5 Ehitajate street Tallinn19086 Estonia Faculty of Control Systems and Robotics Itmo University 49 Kronverksky Pr. St. Petersburg197101 Russia

This paper provides an analysis of the current state-of-The-Art technologies in the field of auto-operators used in production during the electroplating process. General schemes of operations are presented, benefits and drawbacks of each scheme are discussed. The paper discusses an increase in the operating efficiency of the auto-operator in transient conditions (braking and acceleration) by reducing suspension oscillations and provides an example of a similar problem from other industries. In addition to the classification of the auto-operators, three main ways and control methods of the auto-operator of a galvanic line are presented. The main ways of eliminating oscillations during the movement of the auto-operator, as well as the rationale for the choice of adaptive (optimal) control, based on and comparing the basic control algorithms of the robot manipulator, are discussed. The comparative analysis of algorithms used to determine the optimal control has been carried out. Application field of each optimal control method described, moreover advantages and disadvantages as well as implementation methods described. Bellman dynamic programming method was chosen to eliminate oscillations of the suspension with details during the auto-operator transient conditions, the chosen method takes into account all necessary conditions to achieve the desired result. © 2021 Budapest university of Technology and Economics. All rights reserved.

关键词： Dynamic programming

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Robust Consensus of Perturbed Euler-Lagrange Agents with Unknown Disturbances

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IFAC-PapersOnLine 2024年第6期58卷 190-195页

作者： Alexey Bobtsov Romeo Ortega Jose Guadalupe Romero Emmanuel Nuño Department of Control Systems and Robotics ITMO University Kronverkskiy av. 49 197101 Saint Petersburg Russia Departament of Electrical and Electronic Engineering ITAM Progreso Tizapán 1 04100 Ciudad de México México Department of Computer Science CUCEI University of Guadalajara 44430 Guadalajara Mexico

In this paper we consider the problems of leaderless consensus for networks of fully actuated Euler-Lagrange agents perturbed by unknown additive disturbances. The network is an undirected weighted graph with time delays. The proposed controller has a PD structure that incorporates, in a certainty-equivalent way, the estimate of the unknown disturbance. The design of the disturbance estimator proceeds along the following steps. First, the derivation of a regression equation, that turns out to be nonlinearly parameterized, but with an injective mapping. Second, we propose to use a recently introduced least-squares plus dynamic regressor extension algorithm that allows us to estimate the unknown frequencies imposing extremely weak excitation assumptions. In this way, we derive a sufficient condition on the proportional and derivative gains of the controller to ensure that the systems globally and asymptotically converge to a consensus position.

关键词： Robust adaptive control Multi-agent systems Disturbance rejection Robust time delay systems

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Information System for Classifying the State of Arteriovenous Fistula Based on the Dynamics of Changes in Its Noise

Information System for Classifying the State of Arteriovenou...

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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： D. A. Fedorov N. I. Yumagulov S. A. Sazonov The Faculty of Applied Informatics ITMO University Saint Petersburg Russia Dep. for Education in Physics and Mathematics Nizhnevartovsk state university Nizhnevartovsk Russia Department of Automated Information Processing and Control Systems Surgut State University Surgut Russia

ISBN: (数字)9798331512194

ISBN: (纸本)9798331512200

The study presents the results of research on an information system for classifying the condition of an arteriovenous fistula. The analysis of sound recordings of arteriovenous fistula murmurs has shown that they can be used for condition classification. A machine learning model for assessing the state of the arteriovenous fistula was developed and trained. The analysis of the spectral features of the audio signal allowed for the identification of a significant set of features for training the machine learning model. The study presents the results of feature importance evaluation using the built-in feature selection method of RandomForest, as well as filtering methods such as the F-test and chi-square test. The investigation into features affecting the model's training accuracy helped identify the most significant features and those that degrade accuracy. The machine learning model achieved an accuracy of 91 % in classifying the condition of the arteriovenous fistula.

关键词： Training Analytical models Accuracy Filtering Noise Machine learning Feature extraction Noise measurement Random forests Information systems

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Electrochemical determination of pollutants from various passenger car engines

Electrochemical determination of pollutants from various pas...

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

作者： Karolina Brończyk Michał Adamski Agata Dąbrowska Adam Konieczka Adam Dąbrowski Department of Trace Analysis Faculty of Chemistry Adam Mickiewicz University Poznań Poland Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics Poznan University of Technology Poznań Poland

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

This paper presents measurements of the concentrations of particulate matter (PM1, PM2.5, and PM10), carbon dioxide (CO 2 ), total organic compounds (TVOCs), and formaldehyde as pollutants released during fuel combustion. For this purpose, a suitable measuring device containing selective electrochemical sensors was prepared. The influence of fuel type and engine speed on the amount of pollutants released into the environment, was studied. Based on the achieved results, it can be concluded that the factor influencing the amount of pollutants released is mainly the type of fuel. Gasoline-powered cars can pollute the environment in a particularly negative way. A relationship was also noted between the increase in engine speed and the concentration of released carcinogenic formaldehyde.

关键词： Atmospheric measurements Signal processing algorithms Particle measurements Combustion Pollution measurement Sensors Fuels Automobiles Engines Formaldehyde

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Accuracy and cross-sensitivity analysis of the PMS5003 formaldehyde sensor

Accuracy and cross-sensitivity analysis of the PMS5003 forma...

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

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

Measurement data produced with the PMS5003 electrochemical sensor, allegedly selective for formaldehyde, were analyzed. The amounts of formaldehyde released from heated standard solutions were measured. At the same time, samples were sorbed into sorption tubes with an XAD-2 cartridge, which enabled chromatographic analysis – gas chromatography coupled with an electron capture detector (GC-ECD). A susceptibility of the PMS5003 sensor to cross-sensitivity associated with the presence of other low-molecular-weight carbonyl compounds, such as acetaldehyde and acetone in the sample, was also tested. The conducted research clearly indicates poor selectivity/accuracy of the PMS5003 sensor in relation to formaldehyde and its sensitivity to the presence of other carbonyl compounds in the sample, with a structure similar to formaldehyde.

关键词： Heating systems Gas chromatography Sensitivity Accuracy Signal processing algorithms Detectors Compounds Formaldehyde Standards Electrons

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The development and evaluation of a combined initial alignment algorithm for strapdown inertial navigation system 3

The development and evaluation of a combined initial alignme...

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3rf International Scientific Conference on Metrological Support of InnovativeTechnologies, ICMSIT 2022

作者： Afonin, A.A. Sulakov, A.S. Maamo, M.S. Shapovalov, N.A. Moscow University for Industry and Finance "synergy" Faculty of Robotics and Mechatronics 9/14 street Meshchanskaya Moscow129090 Russia Department of Control Systems Informatics and Power Engineering 4 Volokolamskoe shosse Moscow125993 Russia

This paper proposes a combined initial alignment algorithm for strapdown inertial navigation system, in which the initial alignment is carried out in two stages during the process of preflight preparations while the aircraft is not moving. This method of initial alignment has the advantages of being conducted based on the Earth's equatorial (Greenwich) coordinate system, which is also used by the aircraft onboard navigation system. In the first stage, the coarse initial alignment is carried out, and this is done according to the orientation parameters using the vector matching method. Then, in the second stage, a fine procedure is carried out, which may be looked at as an integrated system implemented using optimal Kalman filter. In this case, the initial parameters of orientation and navigation are refined, as well as the systematic errors of the inertial sensors are estimated and corrected. The simulation results show that the required level of initial alignment accuracy could be achieved by applying coarse and fine initial alignment procedures not sequentially but in a combination. © Published under licence by IOP Publishing Ltd.

关键词： Inertial navigation systems

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The Synchronization of Reading and Writing in Implementation of TDOA Estimator on a Single Board Computer 15

The Synchronization of Reading and Writing in Implementation...

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15th International IEEE Scientific and Technical Conference Dynamics of systems, Mechanisms and Machines, Dynamics 2021

作者： Faerman, Vladimir Avramchuk, Valeriy Shvetsvov, Mikhail Tomsk State University of Control Systems and Radioelectronics Faculty of Security Tomsk Russia Tomsk Polytechnic University Department of Robotics and Automation Tomsk Russia

ISBN: (纸本)9781665431729

This paper discusses the topic of synchronizing the reading in writing in an application to real-time TDOA estimation. The paper gives a brief lay down on the classic TDOA estimation algorithm and specifically addresses the peculiarities of its implementation in a real-time environment. There are two main factors that should be considered in the stage of design: the processing time is dependent on the settings and some random factors affect processing time in an unpredictable way. The buffer can be introduced to deal with these factors. However, this solution requires a clear and efficient algorithm of synchronization of reading and writing data. In this paper, we propose a simple and small set of variables that is sufficient to synchronize processes to implement real-time TDOA estimation. The solution supports the various overlap coefficients and time windows that exceed the actual size of the input buffer. The proposed solution is installed on the Raspberry Pi, tested, and proved to be functional. Some practical details of the implementation are also discussed. © 2021 IEEE.

关键词： Time difference of arrival

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A Search Strategy and Vessel Detection in Maritime Environment Using Fixed-Wing UAVs

A Search Strategy and Vessel Detection in Maritime Environme...

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International Symposium on Underwater Technology

作者： Marijana Peti Ana Milas Natko Kraševac Marko Križmančić Ivan Lončar Nikola Mišković Stjepan Bogdan Laboratory for Robotics and Intelligent Control Systems (LARICS) Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Laboratory for Underwater Systems and Technologies (LABUST) Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

In this paper, we address the problem of autonomous search and vessel detection in an unknown GNSS-denied maritime environment with fixed-wing UAVs. The main challenge in such environments with limited localization, communication range, and the total number of UAVs and sensors is to implement an appropriate search strategy so that a target vessel can be detected as soon as possible. Thus we present informed and non-informed methods used to search the environment. The informed method relies on an obtained probabilistic map, while the non-informed method navigates the UAVs along predefined paths computed with respect to the environment. The vessel detection method is trained on synthetic data collected in the simulator with data annotation tools. Comparative experiments in simulation have shown that our combination of sensors, search methods and a vessel detection algorithm leads to a successful search for the target vessel in such challenging environments.

关键词： Location awareness Navigation Annotations Computational modeling Search problems Probabilistic logic Sensors

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Compensation control of PMSMs Based on a High-order Sliding Mode Observer with Inertia Identification

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Li, Ke Ding, Jie Sun, Xiaodong Lei, Gang Dianov, Anton Demidova, Galina Prakht, Vladimir Jiangsu University School of Electrical and Information Engineering Zhenjiang212013 China Jiangsu University Automotive Engineering Research Institute Zhenjiang212013 China University of Technology Sydney School of Electrical and Data Engineering NSW2007 Australia Wenzhou University Pingyang Institute of Intelligent Manufacturing Wenzhou325035 China ITMO University Faculty of Control Systems and Robotics Petersburg197101 Russia Ural Federal University Department of Electrical Engineering Ekaterinburg620062 Russia

This article proposes a new sliding mode control (NSMC) reaching law to improve the speed tracking and anti-interference performance of permanent magnet synchronous motors (PMSMs). The NSMC improves the sliding mode control (SMC) in approaching speed and reducing chattering. Firstly, considering that the external load interference will adversely affect the control system, a high-order sliding mode observer (HOSMO) is designed to observe the load torque, and the observed value is compensated to the output of the speed controller. Then, combined with the Landau algorithm, a variable adaptive gain algorithm is introduced to decrease the impact of inertia mismatch on the system control performance. The algorithm identifies the rotational inertia online, reduces the effect of load disturbance on the identification performance, and updates the identification results to the observation in processors and controllers. Experimental results show that the proposed control method reduces the speed and current fluctuations of the system when load torque and inertia vary and improves the system's robustness. © 2013 IEEE.

关键词： Permanent magnets

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