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International Conference on Soft Computing and Measurements (SCM)

作者： Yeldos A. Altay Raisa K. Uskenbayeva Alexey V. Fedorov Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Satbayev University Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation

ISBN: (数字)9798350363708

ISBN: (纸本)9798350363715

This paper presents filtering methods for improvement of biosignal measurement accuracy - an ECG signal under the influence of electromagnetic interference, which has a significant impact on the operation of the IoB system. A single-frequency polynomial notch filter has been synthesized to filter this noise to improve the accuracy of ECG signal measurement. The results of the implementation of the synthesized notch filter demonstrated that the filter makes it possible to separate the informative component from the distorting noise and increase the accuracy of signal measurement during its implementation in comparison with wavelet filters.

关键词： Accuracy Shape Filtering Electromagnetic interference Measurement uncertainty Electrocardiography Polynomials

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The Development of Cutting Tools Active control Methodology for Numerical control Milling Machines

The Development of Cutting Tools Active Control Methodology ...

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2022 International Ural Conference on Electrical Power Engineering, UralCon 2022

作者： Basova, Tatiana Vladimirovna Andreev, Yuri Sergeevich Basova, Maria Vladimirovna Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia Baltic State Technical University «voenmeh» Named after D.F. Ustinov Faculty of Arms and Weapons Systems St. Petersburg Russia

ISBN: (数字)9781665466523

ISBN: (纸本)9781665466523

The paper deals with the issues of the cutting tools (CT) widespread control methodology using tool setters;the new CT active control method is also proposed. The manual operations are reduced by this methodology due to the automatic development of tool setters' programs via the CT database. The operation adaptation of computer numerical control (CNC) machines is provided by upgrading tool setters' functioning algorithms. Both the CNC machines production performance increasing and the required product workmanship achievement of machine-building as well as instrument-making production might be received through the new methodology application. The advantages of this methodology are, firstly, cost-effectiveness due to the use of standard CNC machines sensors and, secondly, exclusion of manual processing for measurement results. © 2022 IEEE.

关键词： Cutting tools

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Small Magnus Wind Turbine control System Based on MPPT Approaches

Small Magnus Wind Turbine Control System Based on MPPT Appro...

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Power Electronics (Ee)

作者： Aleksandr Lukin Galina Demidova Nikolai Poliakov Maria Rezaeva Ivan Zhdanov Dmitry Lukichev Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia

This paper presents a study on the development of a modified maximum power tracking algorithm for small Magnus wind turbines. The research initially focuses on implementing and comparing three different algorithms: Fixed Step Hill Climb algorithms, Adaptive algorithm, and Half-Step Algorithms. The key innovation of the proposed algorithm lies in its ability to evaluate not only the magnitude and direction of step changes but also to compare these changes with previous values. Additionally, a function is introduced to assess the percentage change in the step relative to the power output. This operation allows the algorithm to determine whether the relative change in power exceeds the threshold value. If the threshold is surpassed, the system resets the step and begins searching for the maximum power point using the initial (maximum) step value. This algorithm effectively addresses two challenges: when wind speed changes are minor, resulting in small power fluctuations, the algorithm avoids unnecessary step resets, and when wind speed changes significantly, causing substantial power variations, the algorithm initiates a new search for the maximum power point with the maximum step size. The proposed algorithm holds potential for implementation in a variety of renewable energy systems that employ maximum power tracking algorithms, including solar panels and wind turbines.

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Adaptive Algorithm for Identification Parameters of Linear Nonstationary systems

Adaptive Algorithm for Identification Parameters of Linear N...

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International Russian Automation Conference (RusAutoCon)

作者： N. K. Tung S. M. Vlasov V. A. Zhdanov Department of Control Systems and Robotics ITMO University St. Petersburg Russia

In this paper, we consider the problem of identifying unknown parameters of non-stationary systems. Let us assume that the non-stationary parameter of the system can be represented by the outputs of linear generators with an unknown state matrix and initial conditions vector. It is proposed that the state, control signal, and output variable are measurable. In the first step, the problem of parameterizing the initial dynamic model into a linear static regression model is solved. The second step is to estimate the unknown constant parameters of the linear regression model using the Dynamic Regressor Extension and Mixing method, which allows obtaining monotonic estimates and ensures the acceleration of the convergence of the estimates to the true values. The results of computer simulation showed the efficiency of the developed algorithm.

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Finite Time Adaptive Algorithm for Indentification Stationary Signal Generators Parameters that are Product of Sinuses

Finite Time Adaptive Algorithm for Indentification Stationar...

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International Russian Automation Conference (RusAutoCon)

作者： S. M. Vlasov V. A. Zhdanov A. A. Pyrkin Department of Control Systems and Robotics ITMO University St. Petersburg Russia

In this paper, we address the challenge of identifying parameters of stationary signal generators in finite time, where these generators are products of sinusoidal signals. It's posited that all parameters of the original signal remain unknown. We introduce a new method for parameterizing the signal under consideration. The measured signal is represented as the output of a linear generator possessing an unknown state matrix. In the initial step, the measured signal is transformed using the Jordan form of the matrix, supplemented with delay units. Subsequently, based on the parameters of the original signal, a linear regression model is derived. In the final step, unknown parameters are calculated using the derived linear regression models. The efficacy of the proposed methodology is validated through numerical simulation.

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Accuracy and cross-sensitivity analysis of the PMS5003 formaldehyde sensor 27

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

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Bronczyk, Karolina Adamski, Michal Dabrowska, Agata Konieczka, Adam Dabrowski, Adam Adam Mickiewicz University Faculty of Chemistry Department of Trace Analysis Poznań Poland Poznan University of Technology Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics Poznań Poland

ISBN: (纸本)9788362065486

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. © 2024 Division of Signal Processing and Electronic systems, Poznan university of Technology (DSPES PUT).

关键词： Acetone

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Electrochemical determination of pollutants from various passenger car engines 27

Electrochemical determination of pollutants from various pas...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

ISBN: (纸本)9788362065486

This paper presents measurements of the concentrations of particulate matter (PM1, PM2.5, and PM10), carbon dioxide (CO2), 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. © 2024 Division of Signal Processing and Electronic systems, Poznan university of Technology (DSPES PUT).

关键词： Electrochemical sensors

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Analog, Programmable Switched Capacitor FIR Filter Based on Rotator Architecture Implemented in CMOS Technology 26

Analog, Programmable Switched Capacitor FIR Filter Based on ...

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26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Pawlowski, Pawel Dlugosz, Rafal Radkowski, Marek Watly, Mateusz Dabrowski, Adam Poznań University of Technology Division of Signal Processing and Electronic Systems Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Poznań60-965 Poland Bydgoszcz University of Science and Technology Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz85-796 Poland

ISBN: (纸本)9798350304985

The paper presents project and its verification of a prototype integrated circuit containing an analog, programmable finite impulse response (FIR) filter, implemented in CMOS 350 nm technology. The structure of the filter is based on the switched capacitor technique. In circuits of this type, one of main challenges is an efficient implementation of filter coefficients, which result from several factors described in this work. When implementing such filters as programmable circuits, the values of their coefficients have to be limited to a selected range, i.e. a given resolution in bits. In the implemented prototype filter, the filter coefficients are represented by 6 bits in sign-magnitude notation, so they can take 63 different values only. In such filters, it is not possible to directly implement any frequency response of the filter. Each time, it is necessary to properly round the theoretical values of the coefficients so that they fit into the available range of discrete values resulting from the implementation. The authors of the work designed an algorithm that allows such matching. The paper also presents results of measurements of the prototype chip. © 2023 Division of Signal Processing and Electronic systems, Poznan university of Technology (DSPES PUT).

关键词： FIR filters

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Parameter identification algorithm for a LTV system with partially unknown state matrix

arXiv

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arXiv 2024年

作者： Kozachek, Olga Nikolaev, Nikolay Slita, Olga Bobtsov, Alexey Department of Control Systems and Robotics ITMO University Kronverkskiy av. 49 Saint-Petersburg197101 Russia

In this paper an adaptive state observer and parameter identification algorithm for a linear time-varying system is developed under condition that the state matrix of the system contains unknown time-varying parameters of a known form. The state vector is observed using only output and input measurements without identification of the unknown parameters. When the state vector estimate is obtained, the identification algorithm is applied to find unknown parameters of the *** Codes 93 © 2024, CC BY.

关键词： Parameter estimation

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DREM-based Adaptive Observer for Induction Motor Model With Friction

DREM-based Adaptive Observer for Induction Motor Model With ...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Vladimir Bespalov Alexey Vedyakov Anastasiia Vediakova Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia Department of Computer Applications and Systems St.Petersburg State University St. Petersburg Russia

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

This paper presents an adaptive state observer for a nonlinear induction motor model that accounts for viscous friction. The problem is solved using a modified version of the Dynamic Regressor Extension and Mixing (DREMBAO) method. The main idea is to reduce the original model to a regression-like model, where the vector of unknowns contains unknown parameters and state variables. After this step, it becomes possible to obtain a set of scalar linear equations with respect to the unknown state variables and parameters. Using these equations, parameters are estimated with gradient descent estimator, and state estimation is obtained using the gradient observer. Simulation results of an adaptive observer are presented, which demonstrate the effectiveness of the proposed approach.

关键词： Adaptation models Induction motors Sensitivity Friction Simulation Rotors Observers Mathematical models Vectors Robustness

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