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8th International engineering Conference on Renewable Energy and Sustainability, ieCRES 2023

作者： Ahmed, Abdussalam Ali Ramadhan, Hisham.F. A. Malki, Mohamed El Nassar, Yasser Fathi Bani Waleed University Mechanical Engineering Department Bani Waleed Libya Control System Engineering College of Electronic Technology Bani Walid Libya Mohammed First University Faculty of Sciences Department of Physics Oujda60000 Morocco Wadi Alshatti University Mechanical and Renewable Energy Eng. Dept. Brack Libya

ISBN: (纸本)9798350300758

This paper illustrates the use of two distinct control strategies. Namely, the Sliding Mode control (SMC) and a Linear Quadratic Regulator (LQR) controller to monitor and handle the suspension system vibrations that occurred. We used a half car suspension model with (4DOF). The necessary suspension performance attributes, such as ride comfort, suspension deflection and car handling require a comprehensive control system. Three components make up this control system, which is carried out using the MATLAB application: the controller, the suspension system model, and input signals (road profile and actuator force). A comparison of the half car active suspension system LQR and SMC controllers as well as the uncontrolled suspension system is presented. © 2023 IEEE.

关键词： Sliding mode control

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A Robust Observer with Gyroscopic Bias Correction for Rotational Dynamics

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IFAC-PapersOnLine 2023年第2期56卷 1641-1648页

作者： Erjen Lefeber Marcus Greiff Anders Robertsson Dept. of Mech. Engineering Eindhoven University of Technology Eindhoven The Netherlands Department of Automatic Control Lund University Lund Sweden Mitsubishi Electric Research Laboratories Cambridge MA U.S.A.

We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates. We show uniform almost global asymptotic and local exponential stability of the resulting error dynamics, implying robustness against bounded disturbances. This robustness is quantified with respect to a popular nonlinear complementary filter in quantitative simulation studies, and we explore how the measurement noise propagates to the asymptotic errors as a function of tuning.

关键词： Nonlinear observers and filter design Lyapunov methods UAVs

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The Continuous-Time Weighted-Median Opinion Dynamics

arXiv

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arXiv 2024年

作者： Han, Yi Chen, Ge Dörfler, Florian Mei, Wenjun Dept. of Mechanics and Engineering Science Peking University Beijing China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Automatic Control Laboratory ETH Zurich Zurich Switzerland

Opinion dynamics models are important in understanding and predicting opinion formation processes within social groups. Although the weighted-averaging opinion-update mechanism is widely adopted as the micro-foundation of opinion dynamics, it bears a non-negligibly unrealistic implication: opinion attractiveness increases with opinion distance. Recently, the weighted-median mechanism has been proposed as a new microscopic mechanism of opinion exchange. Numerous advancements have been achieved regarding this new micro-foundation, from theoretical analysis to empirical validation, in a discretetime asynchronous setup. However, the original discrete-time weighted-median model does not allow for "compromise behavior" in opinion exchanges, i.e., no intermediate opinions are created between disagreeing agents. To resolve this problem, this paper propose a novel continuous-time weighted-median opinion dynamics model, in which agents' opinions move towards the weighted-medians of their out-neighbors' opinions. It turns out that the proof methods for the original discrete-time asynchronous model are no longer applicable to the analysis of the continuous-time model. In this paper, we first establish the existence and uniqueness of the solution to the continuoustime weighted-median opinion dynamics by showing that the weighted-median mapping is contractive on any graph. We also characterize the set of all the equilibria. Then, by leveraging a new LaSalle invariance principle argument, we prove the convergence of the continuous-time weighted-median model for any initial condition and derive a necessary and sufficient condition for the convergence to *** Codes 91D30(Primary) 93A16(Secondary) Copyright © 2024, The Authors. All rights reserved.

关键词： Dynamics

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Methods of Pulse Width Modulation in Cascaded High Voltage Frequency Converters 3

Methods of Pulse Width Modulation in Cascaded High Voltage F...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Busher, Victor Chornyi, Oleksii Tytiuk, Valerii Glazeva, Oksana Rozlutskyi, Oleksandr Kuznetsov, Vitaliy National University 'Odessa Maritime Academy' Dept. of Electrical Engineering and Electronics Odessa Ukraine Institute of Electromechanics National University Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi Kremenchuk Ukraine Kryvyi Rih National University Kryvyi Rih Ukraine Ukrainian State University of Science and Technologies Dept. of the Electrical Engineering Dnipro Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

Purpose. The aim of this work is to compare the effectiveness of various methods for correcting cell failures in cascade high voltage frequency converters. These methods provide the smallest voltage drop on the motor, the least loads and oscillation of electromagnetic torque in an accident modes, and evaluate the effectiveness of pulse width modulation (PWM) methods with the injection of third harmonic and space-vector PWM in normal and emergency modes. Methodology. We use mathematical and geometrical interpretation of all analysed methods - Sinusoidal PWM (SPWM), Balanced sinusoidal PWM (BSPWM), Balanced PWM with injected 3rd harmonic (THPWM) and Balanced Space Vector PWM (SVPWM). Results. The method of balancing the phase-to-phase voltages by to such a shift of the zero point and rotation of the phase vectors, in which the amplitude of the phase-to-phase voltage decreases to the minimum possible value. Injection of the 3rd harmonic allows you to further increase the utilisation factor of power supplies in terms of voltage. But the violation of the symmetry of the phase voltages leads to the need to reduce the voltage amplitude to exclude saturation of the power supplies, which reduces this coefficient compared to the theoretically possible 15.6%. A distinctive feature of the method of balanced Space Vector PWM is that the amplitude of the 1st harmonic is always greater than the radius of the circle by 15.6%. Comparison of methods of space vector PWM (SVPWM), balancing of phase-to-phase voltage with the injection of the 3rd harmonic (THPWM) with sinusoidal PWM shows that SVPWM is the best method. Despite the more complex mathematical software for the implementation of this method, it provides the best performance in all considered emergency modes of 3...6 cascade converters. The Table of indicators for all methods are presented in the article. The use of a balanced SVPWM in combination with field oriented control makes it possible to obtain an electric drive in whi

关键词： Pulse width modulation

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A data-driven dynamic pricing scheme for EV charging stations with price-sensitive customers

A data-driven dynamic pricing scheme for EV charging station...

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IEEE Conference on Decision and control

作者： Marta Fochesato Giovanni Gino Zanvettor Marco Casini Antonio Vicino Automatic Control Laboratory ETH Zurich Switzerland Dept. of Information Engineering and Mathematics University of Siena Italy

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

The increasing adoption of electric vehicles (EVs) has left power network providers to deal with new challenges in terms of grid stability and electricity market design. On the latter direction, a demanding problem is represented by the development of probabilistic algorithms capable of computing optimal time-varying price profiles for EVs charging stations to induce a desired aggregative behavior. Here, the inclusion of demand elasticity represents a key feature to provide usable schemes for real-world cases. In this paper, we propose an "estimate-then-optimize" framework for optimal dynamic pricing computation in the presence of price-sensitive customers. It consists of an estimation step based on nonparametric kernel methods to infer about the demand elasticity, followed by an optimization step to maximize the expected daily profit. We describe the charging process via a probabilistic framework and we show the benefits of the proposed formulation via extensive numerical experiments.

关键词： Pricing Elasticity Power system stability Probabilistic logic Numerical simulation Electric vehicle charging Stability analysis

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Study of the Influence of Rolling Modes on the Operation of Interconnected Electric Drives of a Rolling Mill 4

Study of the Influence of Rolling Modes on the Operation of ...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Tytiuk, Valerii Busher, Victor Kalinin, Alexey Chornyi, Oleksii Druzhinin, Valeriy Halushko, Dmytro Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Dept. of Electrical Engineering and Electronics National University "Odessa Maritime Academy" Odessa Ukraine Department of Informative computer systems Abylkas Saginov Karaganda Technical University NPJSC Karaganda Kazakhstan Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine Department of Power Engineering Karaganda Industrial University NPJSC Temirtau Kazakhstan Dept. of Electrical Engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9798350395532

The paper is devoted to study of the influence of rolling modes on the performance of powerful interconnected electric drives of a hot rolling mill under the action of an electromagnetic coupling circuit between the electric drives of the roughing and finishing groups. The action of the electromagnetic coupling circuit manifests itself in the form of the influence of impact loads of synchronous electric drives on the angular velocity of direct current electric drives of the finishing group of the mill. The parameters of the electromagnetic coupling circuit are determined by the power supply scheme and equipment parameters. Values of impact loads applied to a synchronous motor depend on the rolling process parameters, in particular, the chemical composition of the rolled steel and the temperature of the ingot. The paper presents the results of calculating the rolling power for various rolling mode parameters. Using mathematical modeling in Simulink, numerical estimates of the influence of rolling modes on the magnitude of the voltage drop in the power supply unit and the drop in the angular velocity of the electric drive of the finishing group were obtained on the example of a wide-strip hot rolling mill 1700 of ArcelorMittal Temirtau JSC. © 2023 IEEE.

关键词： Hot rolling

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An OpenPLC-based Active Real-time Anomaly Detection Framework for Industrial control systems

An OpenPLC-based Active Real-time Anomaly Detection Framewor...

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2022 Chinese Automation Congress, CAC 2022

作者： Zheng, Chengxu Wang, Xiaopeng Luo, Xiaoyu Fang, Chongrong He, Jianping Shanghai Jiao Tong University The Key Laboratory of System Control and Information Processing Ministry of Education of China And Shanghai Engineering Research Center of Intelligent Control and Management The Dept. of Automation Shanghai China NSFOCUS Technologies Group Co. Ltd Beijing China

ISBN: (纸本)9781665465335

In recent years, the design of anomaly detectors has attracted a tremendous surge of interest due to security issues in industrial control systems (ICS). Restricted by hardware resources, most anomaly detectors can only be deployed at the remote monitoring ends, far away from the control sites, which brings potential threats to anomaly detection. In this paper, we propose an active real-time anomaly detection framework deployed in the controller of OpenPLC, which is a standardized open-source PLC and has high scalability. Specifically, we add adaptive active noises to control signals, and then identify a linear dynamic system model of the plant offline and implement it in the controller. Finally, we design two filters to process the estimated residuals based on the obtained model and use χ2 detector for anomaly detection. Extensive experiments are conducted on an industrial control virtual platform to show the effectiveness of the proposed detection framework. © 2022 IEEE.

关键词： Anomaly detection

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NEW TOOL FOR system IDENTIFICATION AND PREDICTIVE control BASED ON NEURAL NETWORKS USING LABVIEW SOFTWARE

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2022年第2期84卷 91-110页

作者： Alshareefi, Hamid Lupu, Ciprian Alboudkhal, Hayder Ismail, Laith Dept. of Automatic Control and Computers University POLITEHNICA of Bucharest Romania Ministry of Electricity Iraq Dept. of Computer Technology Engineering AL-TURATH University College Baghdad Iraq

In this paper, a new tool for system identification and model predictive control (MPC) has been developed. The mathematical approximation of the model identification was derived using the neural network theory. The emphasis of this paper is to employ a multi-layer recurrent neural network with three layers to match an autoregressive-moving average (ARMA) model in the identification stage to provide the mathematical model for the model predictive controller in the control stage. The tool was designed using LabVIEW software and the MathScript facility. The tool can be used to identify and control simulated or real systems using the stored input/output data of the system. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Recurrent neural networks

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Incorporating the Com-B Model for Behavior Change into an Agent-Based Model of Smoking Behaviors: An Object-Oriented Design 24

Incorporating the Com-B Model for Behavior Change into an Ag...

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Proceedings of the Winter Simulation Conference

作者： David Tian Hazel Y. Squires Charlotte Buckley Duncan Gillespie Harry Tattan-Birch Lion Shahab Robert West Alan Brennan Jamie Brown Robin C. Purshouse Dept. of Automatic Control and Systems Engineering University of Sheffield UK Sheffield Centre for Health and Related Research School of Medicine and Population Health University of Sheffield UK Institute of Epidemiology and Health University College London UK

ISBN: (纸本)9798331534202

Modeling trajectories in cigarette smoking prevalence, initiation and quitting for populations and subgroups of populations is important for policy planning and evaluation. This paper proposes an agent-based model (ABM) design for simulating the smoking behaviors of a population using the Capability, Opportunity, Motivation - Behavior (COM-B) model. Capability, Opportunity and Motivation are modeled as latent composite attributes which are composed of observable factors associated with smoking behaviors. Three forms of the COM-B model are proposed to explain the transitions between smoking behaviors: initiating regular smoking uptake, making a quit attempt and quitting successfully. The ABM design follows object-oriented principles and extends an existing generic software architecture for mechanism-based modeling. The potential of the model to assess the impact of smoking policies is illustrated and discussed.

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Feedback Optimizing MPC for Load Frequency control and Economic Dispatch

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IFAC-PapersOnLine 2023年第2期56卷 10935-10940页

作者： Amba Asuk Paul Trodden National Grid ESO Faraday House Warwick CV34 6DA UK Dept. of Automatic Control & Systems Engineering University of Sheffield S1 3JD UK

With increasing renewable generation, demand response, and deregulation, power networks are becoming more uncertain, time-varying, and strongly coupled. As a result, the conventional approach of performing separate economic dispatch (ED) and load-frequency control (LFC) operations may no longer guarantee smooth and cost-efficient regulation of frequency across interconnected power networks. To address this, we present a tracking model predictive control (MPC) algorithm which simultaneously achieves economic dispatch and secondary frequency control in a multi-area power network. A unique feature of the proposed algorithm is that it exploits the implicit feedback in MPC to regulate the interconnected power system towards steady-state equilibria that solve a multi-area economic dispatch problem, without explicitly computing the latter as a reference to be followed or estimating the unknown disturbances. This feedback-based optimization approach endows the algorithm with inherent robustness to uncertainty (such as unknown step changes in the demand). Simulation results for a two-area power network show improved steady-state economic performance compared to standard MPC-based frequency control schemes, and better dynamic performance compared to other feedback-based optimization schemes.

关键词： control and optimization of power systems Renewable energy sources Smart grids control of energy storage systems Power system planning and operation

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