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International Carpathian control Conference (ICCC)

作者： Iulian Vasiliev Laurentiu Luca Marian Barbu Ramon Vilanova Sergiu Caraman Department of Automation and Electrical Engineering Faculty of Automation Computers Electrical and Electronic Engineering Galati Romania Department of Automation Systems and Advanced Control Research Autonomous University of Barcelona Barcelona Spain

A model of a sewer network for a medium city located in Easter Romania with 250,000 inhabitants is presented in the paper. The model was developed using BSM Sewer software package. An influent was also determined considering the 5 collecting areas and defined on a time- horizon of 28 days. The influent has the following components: a domestic one calculated using the average wastewater production of each inhabitant with specific loads and considering daily, weekly and yearly variations, a pluviometric one proportional to the collecting area surface that includes a rain event and a storm one and an industrial influent (considered only for the 5 th collecting area). The model was tested in different operating conditions of the sewer network considering three operating points given by the values of the valve opening and pumps flows at the tank outlets. The results were analyzed based on 10 performance indicators implemented by researchers from Lund University for BSM Sewer. They showed the need for an optimization of the operating regime of the sewer network in terms of volume and quality of discharged water.

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A Two-Layer Approach for Rebalancing Ride-Hailing Vehicles

A Two-Layer Approach for Rebalancing Ride-Hailing Vehicles

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International Conference on Intelligent Transportation

作者： Caio Vitor Beojone Pengbo Zhu Isik Ilber Sirmatel Nikolas Geroliminis Urban Transport Systems Laboratory (LUTS) École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Department of Electrical and Electronics Engineering Control Section Faculty of Engineering Trakya University Edirne Turkiye

Ride-hailing services are emerging as a mode of transportation, necessitating modeling and control methods for efficient management. In this paper, we propose a hierarchical control framework for the optimal positioning of idle vehicles for maximizing service level. An economic model predictive controller at the upper layer repositions idle vehicles between urban regions towards balancing interregional responsiveness, while a coverage controller at the lower layer distributes idle vehicles over space towards balancing intraregional responsiveness. Studies on detailed simulations of an urban road network suggest the potential of the method for improving performance.

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A Swarm Model for Target Capturing in a Polygonal Strip

A Swarm Model for Target Capturing in a Polygonal Strip

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

作者： Antonio Bono Luigi D' Alfonso Giuseppe Fedele Veysel Gazi Department of Informatics Modeling Electronics and Systems Engineering University of Calabria Rende Italy Department of Control and Automation Engineering Faculty of Electrical and Electronics Engineering Yildiz Technical University Esenler Turkey

This paper presents a methodology to generate proper state trajectories of a swarm of agents, described as a single integrator model. The main goal of the proposed methodology is to route the agents into planar polygons like areas, so that to accomplish for cooperative perimeter surveillance or target capturing tasks. In particular, the agents are driven into a polygonal strip defined by a given containment external convex polygonal region and an internal forbidden convex polygonal region around a prescribed target. The control law is designed looking at a circular strip, then a conversion from circular to polygonal areas is applied to achieve the prescribed goal. Steady-state conditions are analyzed and sufficient conditions derived in terms of the control law parameters. Simulation results put in light the main properties of the resulting kinematic state description.

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Enhanced Voltage Stability for DC Microgrids Integrating Hybrid Electric Vehicles with Virtual Inertia and Damping control

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Transportation Research Procedia 2025年 84卷 571-578页

作者： Hossam Ali Mohamed Zaery Syed Muhammad Amrr S.M. Suhail Hussain Vijay Vital Mohammad A. Abido Department of Electrical Engineering Faculty of Energy Engineering Aswan University 81528 Aswan Egypt School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85281 USA K.A.CARE Energy Research & Innovation Center King Fahd University of Petroleum and Minerals (KFUPM) Dhahran 31261 Saudi Arabia Control & Instrumentation Engineering Department KFUPM Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems KFUPM Dhahran 31261 Saudi Arabia Electrical Engineering Department King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence KFUPM Dhahran 31261 Saudi Arabia

DC microgrids (MGs) have experienced swift growth, driven by the expanding integration of energy storage devices(ESD), renewable energy sources (RESs), and localized loads. However, it suffers from insufficient inertia owing to less rotating mass sources, which can lead to poor voltage stability. This paper introduces a control method that emulates both inertia and damping to mitigate fluctuations in DC voltage, enhance system stability, and address the low inertia concern. The proposed virtual inertia and damping (VID) control system is adopted through using hybrid electric vehicle (HEV). The suggested HEV comprises three power sources: a battery, a fuel cell (FC), and a supercapacitor (SC). In this setup, both the battery and the FC are employed to supply virtual damping owing to their high-energy density, and the SC is utilized to support virtual inertial characteristics due to its high-power density. Through this approach, enhancements in the DC voltage stability of an islanded DC MG can be achieved. Simulations demonstrate that the proposed control system significantly outperforms existing works utilizing virtual inertia (VI) based on an EV’s battery only, as well as over systems lacking VI. The proposed control system effectively reduces voltage fluctuations and improves system stability, specifically in terms of the rate of change of voltage (ROCOV) and accelerated settling time.

关键词： Voltage Stability DC Microgrids Virtual Inertia Damping Hybrid Electric Vehicle Renewable Energy Sources

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Grey Wolf Optimization Based Tuning of Terminal Sliding Mode controllers for a Quadrotor

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Computers, Materials & Continua 2021年第8期68卷 2265-2282页

作者： Rabii Fessi Hegazy Rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

The research on Unmanned Aerial Vehicles(UAV)has intensified considerably thanks to the recent growth in the fields of advanced automatic control,artificial intelligence,and *** this paper,a Grey Wolf Optimization(GWO)algorithm is proposed and successfully applied to tune all effective parameters of Fast Terminal Sliding Mode(FTSM)controllers for a quadrotor UAV.A full control scheme is first established to deal with the coupled and underactuated dynamics of the *** for altitude,attitude,and position dynamics become separately designed and *** work around the repetitive and time-consuming trial-error-based procedures,all FTSM controllers’parameters for only altitude and attitude dynamics are systematically tuned thanks to the proposed GWO *** a hard and complex tuning task is formulated as a nonlinear optimization problem under operational *** performance and robustness of the GWO-based control strategy are compared to those based on homologous metaheuristics and standard terminal sliding mode *** simulations are carried out to show the effectiveness and superiority of the proposed GWO-tuned FTSM controllers for the altitude and attitude dynamics’stabilization and *** statistical analyses revealed that the GWO algorithm is more competitive with high performance in terms of fastness,non-premature convergence,and research exploration/exploitation capabilities.

关键词： Quadrotor cascade control fast terminal sliding mode control grey wolf optimizer nonparametric Friedman analysis

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Dictionary-free Koopman model predictive control with nonlinear input transformation

arXiv

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arXiv 2022年

作者： Cibulka, Vít Korda, Milan Haniš, Tomáš Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Czech Republic CNRS Laboratory for Analysis and Architecture of Systems Toulouse France

This paper introduces a method for data-driven control based on the Koopman operator model predictive control. Unlike existing approaches, the method does not require a dictionary and incorporates a nonlinear input transformation, thereby allowing for more accurate predictions with less ad hoc tuning. In addition to this, the method allows for input quantization and exploits symmetries, thereby reducing computational cost, both offline and online. Importantly, the method retains convexity of the optimization problem solved within the model predictive control online. Numerical examples demonstrate superior performance compared to existing methods as well as the capacity to learn discontinuous lifting functions. Copyright © 2022, The Authors. All rights reserved.

关键词： Model predictive control

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Wireless Communication Technologies for Indian Smart Grid: Fitness Evaluation and Optimal Decision-making 9

Wireless Communication Technologies for Indian Smart Grid: F...

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9th IEEE International Conference on Power systems, ICPS 2021

作者： Bhatt, Jignesh Jani, Omkar Harish, V.S.K.V. Dharmsinh Desai University Faculty of Technology Department of Instrumentation and Control Engineering Nadiad India Kanoda Energy Systems Pvt. Ltd. Research and Culture Department Ahmedabad India Department of Electrical Engineering Delhi110078 India

ISBN: (纸本)9781665428736

Decision for the best efficient communication technology is a major design challenge that necessitates serious attention. Considering the impact of communication technologies on the overall smart grid resilience, a meticulous methodology is essential. A methodology presented in this work attempts to optimize the selection by balancing the communication needs of smart grid applications against capabilities of wireless technology alternatives. Fitness evaluation of communication technology of a pilot of smart grid in India conducted for validation of proposed methodology and suggested better-fit alternatives. Due to its minimal computing needs, simplicity and flexibility, the presented methodology demonstrates practical viability. © 2021 IEEE.

关键词： Decision making

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Research to Improve the Quality of Servo Motor controller

Research to Improve the Quality of Servo Motor Controller

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IEEE International Conference on control in Technical systems (CTS)

作者： Hoang Thi Thu Giang Phan Thanh Chung Tran Thuy Van Nguyen Duy Khanh Faculty of Electrical Engineering HaNoi University of Industry Hanoi Vietnam Department for Standards Metrology and Quality Military Institute of Mechanical Engineering Hanoi Vietnam Department of Automatic Control Systems Saint Petersburg Electrotechnical University “LETI” Saint Petersburg Russia

To overcome the disadvantages that traditional controllers bring, in this study, it is proposed to use fractional order controller $\mathrm{PI}^{\lambda}$ instead of conventional PI controller, the research also focuses on improving the quality of the controller. the order controller itself by selecting the computational methods, the discretization methods, and the implementation methods that give the best results. The study conducted simulations and experiments and compared the results with conventional PI controllers, in order to demonstrate the effectiveness of the fractional order controller.

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Speed control of a Six-Phase IM with Reactive Power Minimization for a Multi-Modular Matrix Converter Using an Inner PTC

Speed Control of a Six-Phase IM with Reactive Power Minimiza...

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IEEE International Conference on Automatica (ICA-ACCA)

作者： E. Maqueda S. Toledo D. Caballero M. Ayala E. Quiñonez R. Romero R. Gregor M. Rivera Laboratory of Power and Control Systems Faculty of Engineering Universidad Nacional de Asunción Luque CP Paraguay Department of Electrical Engineering Faculty of Engineering Universidad de Talca Curicó PB CHILE

ISBN: (纸本)9781665494090

This paper presents the speed control of a six-phase induction machine (SPIM) fed by a multi-modular matrix converter (M-MMC) with input source reactive power minimization, using predictive torque and electromagnetic flux control (PTC). This new system inherits the advantages of both multiphase machines (i.e fault tolerance and better power distribution per phase compared to three-phase machines) and those of M-MMC (i.e smaller size and weight, and no bulky storage elements). In addition, with the M-MMC topology it is possible to use two power generation sources of different characteristics instead of a single three-phase source. Results are provided for speed, torque and flux control of the SPIM and minimization of reactive power at the input source.

关键词： Reactive power Torque Velocity control Fault tolerant systems Power distribution Minimization Topology

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Practical Implementation of Multiple Faults in a Coupled-Tank System: Verified by Model-Based Fault Detection Methods

Practical Implementation of Multiple Faults in a Coupled-Tan...

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： Hamid Reza Chavoshi Ali Khoshlahjeh Sedgh Mahdi Aliyari Shoorehdeli Hamid Khaloozadeh K.N. Toosi University of Technology Tehran Iran Department of Mechatronics Engineering Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran Industrial Control Center of Excellence Systems and Control Engineering K.N. Toosi University of Technology Tehran Iran

In order to prevent system failures, fault detection and performance assessment are always essential factors. This article investigates the practical implementation of common faults in a two-tank networked control system, one of the most widely utilized liquid-level control systems in the food industries, petrochemicals, and many more. The system was modeled and controlled, and then, faults were conducted on the system, including leakage, sedimentation, sensor bias, and pump stuck, which covered a wide range of fault types. After that, model-based fault detection methods, such as unknown input observer (UIO), parity, and factorization methods, were employed to evaluate fault implementation. By thresholding residuals of fault detection methods, the factorization method shows the most effective performance concerning false alarm rates (FAR), missed alarm rates (MAR), and detection delays (DD). Using the UIO is a suitable substitute, and parity is only appropriate for announcing the fault start time.

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