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4th IEEE International Conference on Modern Electrical and Energy System, MEES 2022

作者： Zachepa, Iurii Zachepa, Nataliia Antonov, Mykola Pyrozhok, Andrii Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine National University Zaporizhzhya Polytechnic Electrical Engineering Department Zaporizhzhya Ukraine

ISBN: (纸本)9798350346831

The paper considers the application of starting systems for induction motors powered by autonomous sources of limited power. The conditions for the formation of the starting torque of an induction motor with the formation of the required transient characteristics and the control of electromagnetic transient moments under conditions of power supply from a stationary network and an autonomous sources of energy supply of limited power are analyzed. Studies have been carried out on the implementation of the 'favorable' switching on mode of a three-phase induction motor powered by an autonomous generator according to the principle of creating non-zero initial conditions. An implementation algorithm has been developed and a technical solution has been proposed for the implementation of a starting device with the implementation of a 'quasi-favorable' method for switching on an induction motor under conditions of power supply from autonomous sources of energy supply. © 2022 IEEE.

关键词： Induction motors

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A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction

arXiv

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arXiv 2024年

作者： Justo, Jon Alvarez Lupu, Daniela Orlandić, Milica Necoara, Ion Johansen, Tor Arne Department of Electronic Systems Norwegian University of Science and Technology Norway Department of Automatic Control and Systems Engineering University Politehnica Bucharest Romania Department of Engineering Cybernetics Norwegian University of Science and Technology Norway

Hyperspectral Imaging comprises excessive data consequently leading to significant challenges for data processing, storage and transmission. Compressive Sensing has been used in the field of Hyperspectral Imaging as a technique to compress the large amount of data. This work addresses the recovery of hyperspectral images 2.5× compressed. A comparative study in terms of the accuracy and the performance of the convex FISTA/ADMM in addition to the greedy gOMP/BIHT/CoSaMP recovery algorithms is presented. The results indicate that the algorithms recover successfully the compressed data, yet the gOMP algorithm achieves superior accuracy and faster recovery in comparison to the other algorithms at the expense of high dependence on unknown sparsity level of the data to recover. Copyright © 2024, The Authors. All rights reserved.

关键词： Compressed sensing

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Adaptive control of Electromechanical Actuator Taking into Account Nonlinear Factors Based on Exo-model

Adaptive Control of Electromechanical Actuator Taking into A...

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2022 Conference of Russian Young Researchers in Electrical and Electronic engineering, ElConRus 2022

作者： Khanh, Nguyen D. Kuznetsov, Vladimir E. Lukichev, Andrey N. Chung, Phan T. Saint Petersburg Electrotechnical University Leti Department of Automatic Control Systems St. Petersburg Russia Institute of Mechanical Engineering Ha Noi Viet Nam

ISBN: (纸本)9781665409933

This paper considers the design of a mathematical model of an electromechanical actuator (EMA) taking into account nonlinear factors such as: frictional forces in the motor;clearance in the intermediate gearbox of rotational motion and the mechanism for converting rotational motion into translational motion, as well as elastic properties of the plant. The synthesis of an adaptive regulator for an electromechanical actuator based on an Exo-model is considered. The efficiency and quality of the adaptive controller are analyzed and compared when changing different widths of the gap in the EMA, as well as the effect of the load on the system. The research results are simulated in the MATLAB/Simulink software environment. © 2022 IEEE.

关键词： Adaptive control systems

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Optimal Distribution of UAVs in Crop Spraying Considering Energy Consumption

Optimal Distribution of UAVs in Crop Spraying Considering En...

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American control Conference (ACC)

作者： O.F. Archila N. Quijano J. Martinez-Piazuelo Control Systems and Network Control Engineering Department BTU Cottbus-Senftenberg Cottbus Germany Electrical and Electronics Engineering Department Universidad de los Andes Automatic Control Department Universitat Politècnica de Catalunya Barcelona Spain

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

The population growth rate has increased, leading to a need for new technologies like unmanned aerial vehicles (UAVs) to expand crop production and growth. UAVs are used in mapping, spraying, planting, crop monitoring, irrigation, and insect pest diagnosis. However, challenges such as maximum effective signal range, fuel limitations, uncovered crop areas, overlapped spraying, and pesticide waste need to be considered. In this context, we propose a multi-agent control method that associates the energy consumption with the total crop coverage. Our proposed method is able to generate the path planning for the UAVs considering a target density function, while the total flying time is decreased. The simulation results show that the proposed method decreases the total energy consumption with a negligible increment in the spray error.

关键词： Energy consumption Irrigation Power demand Simulation Spraying Crops Production

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On the Gaussian Filtering for Nonlinear Dynamic systems Using Variational Inference 27

On the Gaussian Filtering for Nonlinear Dynamic Systems Usin...

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27th International Conference on Information Fusion, FUSION 2024

作者： Liu, Yi Li, Xi Yang, Le Mihaylova, Lyudmila Li, Ji University of Canterbury Department of Electrical and Computer Engineering Christchurch New Zealand National University of Defense Technology State Key Lab of Complex Electromagnetic Environment Effects on Electronics and Information Systems Changsha China University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom Locaris Electronic Technology Co. Ltd Zhengzhou China

ISBN: (纸本)9781737749769

This paper introduces a new variational Gaussian filtering approach for estimating the state of a nonlinear dynamic system. We first assume that the predictive distribution of the state is Gaussian and derive an iterative method for updating the state posterior in the natural parameter space through KullbackLeibler divergence minimization. The obtained update rule is the same as that of the conjugate-computation variational inference technique in Bayesian learning. The derivation here is simpler and more insightful. We then impose a Wishart prior on the inverse of the state prediction covariance to take into account the impact of approximating the state predictive distribution using a Gaussian density on the state posterior estimation. The prediction covariance is identified jointly with the state using variational inference and the established state posterior update rule to achieve the desired Gaussian filtering. Simulation study examines the performance of the proposed filtering framework in target tracking based on bearing and range measurements. © 2024 ISIF.

关键词： Wiener filtering

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Identification of Thermal Failure Profiles in Stator Winding Insulation by Impedance Spectroscopy

Identification of Thermal Failure Profiles in Stator Winding...

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Stone, Edward J. W. Panagiotou, Panagiotis A. Muhlthaler, Johannes Mills, Andrew R. Lambourne, Alexis Jewell, Geraint W. The University of Sheffield Department of Electronic and Electrical Engineering Sheffield United Kingdom Rolls-Royce Electrical Rolls-Royce Deutschland Ltd & Co KG Munich Germany The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom Rolls-Royce Central Services Rolls-Royce Plc. UK Derby United Kingdom

ISBN: (纸本)9798350370607

This paper presents a novel application of impedance spectroscopy as a means of inspection for stator winding insulation. It proposes, for the first time, a means for health monitoring and failure identification during thermal degradation effects in the insulation systems of stator coils from a concentrated stator winding. By periodical ex-situ inspection of these coils, the thermal ageing data of the insulation are profiled up to the point of failure. The study maps this evolution of thermal degradation patterns via novel interpretation of the impedance frequency responses, using well known techniques such as the Bode and Nyquist plots. This grants further insight into the characteristics shown in the ageing profiles over time and frequency. These new profiles enable the identification of critical points that can act as pre-emptive indicators of coil health and failure inception. This is a key finding as it renders the capability to provide an adequate lifing tool for electrical machine windings and coil assemblies within industrial settings. The insulation system examined in this study is taken from the coils of a concentrated stator winding in a 2MW permanent magnet generator used in an aerospace application. © 2024 IEEE.

关键词： Stators

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Development of automatic Cartesian Robot Cannabis Seeder using LabVIEW

Development of Automatic Cartesian Robot Cannabis Seeder usi...

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International ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications engineering (ECTI-NCON)

作者： Rujipan Kosarat Keattipoom Sangwai Anan Wongjan Department of Software Engineering Faculty of Engineering Rajamangala University of Technology Lanna Chiangmai Thailand Department of Electronic Engineering and Automatic Control Systems Faculty of Engineering Rajamangala University of Technology Lanna Chiangmai Thailand

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

This article describes the invention of autonomous cannabis seeding equipment to reduce contamination and planting time. The automated cannabis seeder employs an NI myRIO control board to operate a y-axis stepper motor attached to a ball screw to move along the breadth of each row of 14 seed trays. Soil drilling and burial Drill all holes at the same depth. This promotes seed germination and lowers human-seed germ contamination. These 7 soil drill heads and 7 seeders use 3D printers to design and shape the workpiece. An 800-watt air pump smokes the cannabis seeds. Linear electric motors function in two rows in the z-axis. The buffer reverses the drowning process from row 14 to the first row, starting from the 3rd row and continuing through the final series of steps until 14 rows in the y-axis are complete. The hardware controls all program activities in LabVIEW. We tested the automated cannabis seeding machine 100 times on average, sowing cannabis seeds into 98 seed trays and dropping 93 seeds at 94.80% efficiency in 10.38 minutes. A 16 percent faster machine than human work is available.

关键词： Technological innovation Motor drives Shape Soil Pulse width modulation Three-dimensional printing Seeds (agriculture) Printers Robots Contamination

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Modelling of Insulation in Concentrated Stator Coils for Characterisation and Material Changes

Modelling of Insulation in Concentrated Stator Coils for Cha...

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Stone, Edward J. W. Panagiotou, Panagiotis A. Muhlthaler, Johannes Mills, Andrew R. Lambourne, Alexis Jewell, Geraint W. The University of Sheffield Department of Electronic and Electrical Engineering Sheffield United Kingdom Rolls-Royce Deutschland Ltd & Co KG Rolls-Royce Electrical Munich Germany The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom Rolls-Royce Plc. UK Rolls-Royce Central Services Derby United Kingdom

ISBN: (纸本)9798350370607

The highly demanding operation of electrical machines in aerospace can lead to the degradation of electrical insulation systems within the machine windings over time. This paper presents a novel method for high frequency modelling of a coil from the concentrated stator winding of an 2MW aerospace generator, for the purpose of characterising the insulation system by the amplitude and phase responses by the Bode plots in the same framework as electrical impedance spectroscopy. This new approach of high frequency model utilises a finite element model, deployed in tandem with an electrical equivalent circuit representation. Matlab is used to quantify the results taken from finite element modelling and implemented into LTSpice, so that the model considers mutual coupling of inductances and high-frequency effects, such as proximity and skin effects. This novel methodology allows extraction of the impedance profile with respect to the material changes within the simulated insulation system. © 2024 IEEE.

关键词： MATLAB

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Operation Optimization of Integrated Energy System Considering Demand Response and Carbon Trading

Operation Optimization of Integrated Energy System Consideri...

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International Conference on Power and Energy Technology (ICPET)

作者： Ruizhe Fan Xuecheng Li Jun Li School of Electrical and Control Engineering North China University of Technology Beijing China Department of Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

Integrated energy system is a useful tool for achieving the"dual-carbon"goal. In order to explore the demand-side adjustable potential of the comprehensive energy system for lowering carbon emissions, this paper proposes an optimal operation model that accounts for demand response under a carbon trading mechanism. Initially, the demand response is classified into two categories based on the characteristics of the load response. Additionally, a carbon trading mechanism is built for the integrated energy system by allocating the carbon emission quotas for the system using the baseline technique, which is free of charge. The actual carbon emissions from the gas turbine and gas boiler are also taken into account. Ultimately, a low-carbon optimization operation model of the integrated energy system is established, with the goal of minimizing the total cost of energy purchase, carbon trading, and operation and maintenance. The suggested model's validity is then confirmed through four types of typical scenarios.

关键词： Costs systems operation Tariffs Emissions trading Carbon dioxide Demand response Resource management Optimization Turbines Load modeling

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Nonasymptotic Regret Analysis of Adaptive Linear Quadratic control with Model Misspecification

arXiv

引用

arXiv 2023年

作者： Lee, Bruce D. Rantzer, Anders Matni, Nikolai Department of Electrical and Systems Engineering University of Pennsylvania United States Department of Automatic Control Lund University Sweden

The strategy of pre-training a large model on a diverse dataset, then fine-tuning for a particular application has yielded impressive results in computer vision, natural language processing, and robotic control. This strategy has vast potential in adaptive control, where it is necessary to rapidly adapt to changing conditions with limited data. Toward concretely understanding the benefit of pre-training for adaptive control, we study the adaptive linear quadratic control problem in the setting where the learner has prior knowledge of a collection of basis matrices for the dynamics. This basis is misspecified in the sense that it cannot perfectly represent the dynamics of the underlying data generating process. We propose an algorithm that uses this prior knowledge, and prove upper bounds on the expected regret after T interactions with the system. In the regime where T is small, the upper bounds are dominated by a term that scales with either poly(log T) or √T, depending on the prior knowledge available to the learner. When T is large, the regret is dominated by a term that grows with δT, where δ quantifies the level of misspecification. This linear term arises due to the inability to perfectly estimate the underlying dynamics using the misspecified basis, and is therefore unavoidable unless the basis matrices are also adapted online. However, it only dominates for large T, after the sublinear terms arising due to the error in estimating the weights for the basis matrices become negligible. We provide simulations that validate our analysis. Our simulations also show that offline data from a collection of related systems can be used as part of a pre-training stage to estimate a misspecified dynamics basis, which is in turn used by our adaptive controller. © 2023, CC BY.

关键词： Matrix algebra

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