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arXiv 2021年

作者： Esnaola, Iñaki Perlaza, Samir M. Sun, Ke Dept. of Automatic Control and Systems Eng. University of Sheffield United Kingdom INRIA Centre de Recherche de Sophia Antipolis-Méditerranée France Department of Electrical Engineering Princeton University United States

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Investigation of autoregressive forecasting models for market electricity price

Investigation of autoregressive forecasting models for marke...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Anna Shikhina Alexei Kochengin George Chrysostomou Vladimir Shikhin Dept. Control and Informatics National Research University "MPEI" Moscow Russia Dept. Electrical Engineering Frederick University Nicosia Cyprus

ISBN: (数字)9781728152004

ISBN: (纸本)9781728152011

Forecast models of ARIMA-type been investigated in application to market electricity prices behavior prediction in the form of time series. Paper presents the results of the forecast achieved accuracy study for constructing forecast via autoregressive statistical models and their close derivatives. Rather detailed computational procedures presented and supplied with numerical results. Adequacy verification of forecast mathematical models with reference to historical natural data in the form of time series carried out with reference to numerical estimation of the standard error. The achieved accuracy level of the designed predictive models for electrical energy market were found through Belgorod region in European part of Russian coincides with published results over international energy markets in Europe, America and Australia. Comparative analysis and interpretation of mathematical models for prediction, both published and obtained in this work leads to the conclusion that increasing complexity of statistical autoregressive forecast models (complexity of structures, the number of unknown parameters, the combination of heterogeneous components, the introduction of correction coefficients) only in individual cases and slightly increases the prediction accuracy. It is concluded that essential step effect of the forecast accuracy can be obtain through composed modeling of dependent variable with reference to the most influenced factors, and the problem to be solved is the design of the aggregate model structure.

关键词： Predictive models Mathematical model Autoregressive processes Forecasting Biological system modeling Time series analysis Data models

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The Use of Symmetrical Angle Switched Single- & 3-Phase Rectifiers in Micro Hydro Power Plants

The Use of Symmetrical Angle Switched Single- & 3-Phase Rect...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Henry Bory-Prevez Herminio Martínez-García Luís Vázquez-Seisdedos Encarna García-Vílchez Antoni Grau-Saldes Automatic Control Dept. Electrical Engineering Faculty University of Oriente Santiago de Cuba Cuba Electronics Engineering Department Eastern Barcelona School of Engineering (EEBE) Tech. University of Catalonia (UPC) BarcelonaTech Barcelona Spain Automatic Control Dept. Tech. University of Catalonia (UPC) BarcelonaTech Barcelona Spain

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Micro-size hydro power plants (μHPPs) are commonly used at remote areas to supply islanded AC micro-grids. A typical way to control grid frequency is to manipulate active power dissipated in ballast loads by AC/AC converters. However, these asymmetrically switched thyristor controlled converters consume reactive power degrading the power factor at the generator output. In this paper the operation of a symmetric angle switched, bridged three-phase rectifier and three single-phase rectifiers connected in series with ballast load, are studied to improve the power factor of the system. As a consequence, the objective is to evaluated the use of the three and single-phase rectifiers switched with symmetrical angle to improve the power factor, by reactive power compensation, at the output terminal of the electric generator of μHPPs that use ballast load to regulate frequency.

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Visualisation of the Maturity of Future Electrical Engineers Professional Competencies 20

Visualisation of the Maturity of Future Electrical Engineers...

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20th IEEE International Conference on Modern Electrical and Energy Systems, MEES 2021

作者： Chornyi, Oleksii Herasymenko, Larysa Tytiuk, Valerii Bigdan, Maryna Busher, Victor Kremenchuk Mykhailo Ostrohradskyi National University Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Ukraine Pedagogy and Philosophy Kremenchuk Mykhailo Ostrohradskyi National University Department of Psychology Kremenchuk Ukraine Kryvyi Rih National University Department of Electromechanics Kryvyi Rih Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Branch Legal Sciences Kremenchuk Ukraine National University 'Odessa Maritime Academy' Dept. of Electrical Engineering and Electronics Odessa Ukraine

ISBN: (纸本)9781665423663

the article considers the actual problem of pedagogical diagnostics of the professional competencies' maturity on the example of students of engineering specialties. The initial data were obtained as a result of experimental studies while which various diagnostic tools for the assessment of students training quality were used. The authors have suggested a method for the diagnostics of professional competencies which is based on the principle of tasks being differentiated in accordance with the defined competencies, and which allows us to obtain more reliable information about the level of their maturity. Also, there have been presented the code fragments of the developed modelling software aimed at the creation of a visual image being the result of the competencies diagnostics. © 2021 IEEE.

关键词： Visualization

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Identifiability issues in estimating the impact of interventions on Covid-19 spread

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IFAC-PapersOnLine 2020年第5期53卷 829-832页

作者： Fredrik Gustafsson Joakim Jaldén Bo Bernhardsson Kristian Soltesz Linköping University Div. of Automatic Control Linköping Sweden. KTH Royal Institute of Technology Div. Division of Information Science and Engineering Stockholm Sweden. Lund University Dept. Automatic Control Lund Sweden.

The Covid-19 pandemic has spawned numerous dynamic modeling attempts aimed at estimation, prediction, and ultimately control. The predictive power of these attempts has varied, and there remains a lack of consensus regarding the mechanisms of virus spread and the effectiveness of various non-pharmaceutical interventions that have been enforced regionally as well as nationally. Setting out in data available in the spring of 2020, and with a now-famous model by Imperial College researchers as example, we employ an information-theoretical approach to shed light on why the predictive power of early modeling approaches have remained disappointingly poor.

关键词： Bayesian methods Covid-19 Epidemiology Identifiability Sensitivity

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Two TS-Fuzzy controllers based Direct Torque control of 5-Phase Induction Motor

Two TS-Fuzzy Controllers based Direct Torque Control of 5-Ph...

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International Conference on Power Electronic Drives

作者： Malik G. Al-Ghanimi Omar Hanif Mahit V. Jain A. Siva Kumar Ramana Rao M. V R. Kavin Siva Ganesh Malla Jagan Mohana Rao Malla Md. Amzad Hossain Technical institute of Al-Mussaib Al-Furat Al-Awsat Technical University Iraq Dept. of Automatic Control and Systems Engineering The University of Sheffield Sheffield The United Kingdom Sigma Institute of Engineering Vadodara India Department of EEE Panimalar Engineering College Chennai Tamilnadu India University College of Engineering Osmania University Hyderabad India Sri Krishna College of Engineering & Technology Coimbatore India CPGC Pvt. Ltd. Visakhapatnam India Geethanjali College of Engineering and Technology Hyderabad Telangana India Institute of Theoretical Electrical Engineering Ruhr University Bochum (RUB) Germany

The interest on five phase induction motor drives is gradually increasing due to its wide variety of applications including electric vehicles, high compressor systems, ship propulsion etc. The designing of a proper controller to make 5-phase induction motor based electric drive is playing a vital role for many usages among many controllers, a direct torque controller (DTC) is a famous technique to achieve motor torque with fewer ripples. Moreover, Takagi Suguno - Fuzzy (TS-Fuzzy) controllers can provide fast response under rapid changes of inputs. Therefore, TS-Fuzzy based DTC of 5-phase induction motor drive is proposed in this paper. Further, the space vector modulation technique is implemented for obtaining proper pulse sequence for 5-phase inverter to drive the motor. In order to achieve smooth control of both torque and flux, two fuzzy logic controllers are deployed on the DTC of the motor. For better illustration, responses of the proposed TS-Fuzzy based DTC of 5-phase induction motor are compared with 3-phase motor. The proposed method is simulated and presented in this paper to analyze the performance of the proposed method under various conditions.

关键词： Induction motor drives Support vector machines Fuzzy logic Torque Torque control Modulation Switches

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Fuzzy based state observer of a solar trough field 30

Fuzzy based state observer of a solar trough field

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30th Irish Signals and Systems Conference, ISSC 2019

作者： Sanchez, Adolfo J. Escano, Juan Manuel Bordons, Carlos Camacho, Eduardo F. Universidad de Sevilla Dept. of System Engineering and Automatic Control Camino de los Descubrimientos s/n Sevilla41092 Spain

ISBN: (纸本)9781728128009

The estimation of unobservable states of a process is important when using control techniques that assume, said a priori, known values. The controllers based on the state space present good behavior and efficiency, even when the dynamics of the process are non-linear. One of the processes with non-linear dynamics and in which not all the states are observable is the case of parabolic trough solar plants. In this work an observer is presented, based on a fuzzy inference system, for the estimation of the temperature profiles of the loops that make up the solar field. This is a English translation of an earlier work presented in the XXXIX Spanish workshop in automatic control [15]. © 2019 IEEE.

关键词： Model predictive control

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Sim-to-real reinforcement learning applied to end-to-end vehicle control

arXiv

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arXiv 2020年

作者： Kalapos, András Gór, Csaba Moni, Róbert Harmati, István BME Dept. of Control Engineering and Information Technology Budapest Hungary Continental ADAS AI Budapest Hungary BME Dept. of Telecommunications and Media Informatics Budapest Hungary

In this work, we study vision-based end-to-end reinforcement learning on vehicle control problems, such as lane following and collision avoidance. Our controller policy is able to control a small-scale robot to follow the right-hand lane of a real two-lane road, while its training was solely carried out in a simulation. Our model, realized by a simple, convolutional network, only relies on images of a forward-facing monocular camera and generates continuous actions that directly control the vehicle. To train this policy we used Proximal Policy Optimization, and to achieve the generalization capability required for real performance we used domain randomization. We carried out thorough analysis of the trained policy, by measuring multiple performance metrics and comparing these to baselines that rely on other methods. To assess the quality of the simulation-to-reality transfer learning process and the performance of the controller in the real world, we measured simple metrics on a real track and compared these with results from a matching simulation. Further analysis was carried out by visualizing salient object maps. Copyright © 2020, The Authors. All rights reserved.

关键词： Autonomous vehicles

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GRID-FOLLOWING THREE-PHASE INVERTER WITH RMS CURRENT-LIMITING PROPERTY

GRID-FOLLOWING THREE-PHASE INVERTER WITH RMS CURRENT-LIMITIN...

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The 12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2020)

作者： P. Skentzos G. C. Konstantopoulos Dept. of Automatic Control and Systems Engineering The University of Sheffield Mappin Street S1 3JD Sheffield U.K.

A novel nonlinear controller that inherently limits the RMS value of a three-phase grid-following inverter current is presented in this paper. Using the dynamic model of the inverter in the rotating dq reference frame, a nonlinear control scheme is formulated to ensure accurate real and reactive power regulation with RMS current limitation that avoids the use of saturation units with upper/lower limit adaptation, as commonly used in the existing approaches. In particular, it is analytically proven by using fundamental nonlinear systems theory, that the RMS value of the inverter current will never violate a given maximum value, both during the transient response and at the steady-state. Moreover, a detailed root locus analysis is provided to guarantee the asymptotic stability of the desired equilibrium point for the closed-loop system. Finally, to validate the proposed controller performance, simulation results of a grid-following three-phase inverter equipped with the proposed control approach are presented under both normal and unrealistic values of the real and reactive power setpoints.

关键词： invertors control system synthesis nonlinear control systems transient response asymptotic stability closed loop systems

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Mathematical Model of a Three-Phase Induction Motor with Asymmetrical Twelve-Zone Stator Windings

Mathematical Model of a Three-Phase Induction Motor with Asy...

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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Valerii Tytiuk Oleksii Chornyi Victor Busher Tatyana Siverskaya Mila Baranovskaya Vitalii Kuznetsov Department “Artificial Intelligence Technologies” NJSC “Karaganda Industrial University” Temirtau Kazakhstan Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Dept. of Electrical Engineering and Electronics National University “Odessa Maritime Academy” Odessa Ukraine Department “Power Engineering” NJSC “Karaganda Industrial University” Temirtau Kazakhstan Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of the electrical engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9798350346848

The paper proposes a mathematical model of a three-phase induction motor with an asymmetrical twelve-zone winding of stator with parallel connection of subwindings. The mathematical model was developed using the theory of generalized electromechanical converter and contains equations of electrical equilibrium of six stator windings and three rotor windings. The equations for calculating the electromagnetic moment and the equations of motion of the induction motor with an asymmetrical twelve-zone stator winding rotor were obtained. The developed mathematical model in the form of cell-matrix equations has been implemented in MATLAB/Simulink.

关键词： Induction motors Torque Computational modeling Windings Stator windings Rotors Mathematical models

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