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Experimental Efficiency Comparison Between the LLC Resonant Converter and the Phase Shifted Full Bridge Converter Operating as Battery Chargers 50

Experimental Efficiency Comparison Between the LLC Resonant ...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： López-Santos, Oswaldo Zambrano-Prada, David A. Valderrama-Blavi, Hugo Flores-Bahamonde, Freddy Torres Pinzón, Carlos A. Martínez-Salamero, Luis Department of Electrical Electronic and Automatic Control Engineering Universitat Rovira I Virgili Tarragona Spain Energy Transformation Center Engineering Faculty Universidad Andrés Bello Santiago Chile Faculty of Electronic Engineering Universidad Santo Tomás Bogotá Colombia

ISBN: (纸本)9781665464543

DC-DC conversion in electric vehicle chargers can require a single or multiple stages depending on both electrical architecture and amount of processed power. When isolation is provided by an output stage, a unidirectional isolated DC-DC converter is required. Among the possible candidates, the LLC resonant converter and the phase shifted full-bridge (FSFB) converter show several advantages which has made them preferred choices in recent literature. This paper compares the efficiency of both converters on equal basis under the variable load conditions imposed by a cycle of the conventional constant-current constant-voltage (CC-CV) charging protocol. To support the study, scale-down experimental prototypes of both converters have been implemented and evaluated in laboratory showing the superiority of the LLC resonant converter for almost the entire range of operation. © 2024 IEEE.

关键词： Resonant converters

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From Fake to Hyperpartisan News Detection Using Domain Adaptation

From Fake to Hyperpartisan News Detection Using Domain Adapt...

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2023 International Conference Recent Advances in Natural Language Processing: Large Language Models for Natural Language Processing, RANLP 2023

作者： Smadu, Razvan-Alexandru Echim, Sebastian-Vasile Cercel, Dumitru-Clementin Marin, Iuliana Pop, Florin University Politehnica of Bucharest Faculty of Automatic Control and Computers Romania University Politehnica of Bucharest Faculty of Engineering in Foreign Languages Romania National Institute for Research & Development in Informatics ICI Bucharest Romania

ISBN: (纸本)9789544520922

Unsupervised Domain Adaptation (UDA) is a popular technique that aims to reduce the domain shift between two data distributions. It was successfully applied in computer vision and natural language processing. In the current work, we explore the effects of various unsupervised domain adaptation techniques between two text classification tasks: fake and hyperpartisan news detection. We investigate the knowledge transfer from fake to hyperpartisan news detection without involving target labels during training. Thus, we evaluate UDA, cluster alignment with a teacher, and crossdomain contrastive learning. Extensive experiments show that these techniques improve performance, while including data augmentation further enhances the results. In addition, we combine clustering and topic modeling algorithms with UDA, resulting in improved performances compared to the initial UDA setup. © 2023 Incoma Ltd. All rights reserved.

关键词： Classification (of information)

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Cooperative adaptive cruise control with string stability based on DMPC for vehicle platooning 27

Cooperative adaptive cruise control with string stability ba...

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27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Pauca, Ovidiu Lazar, Mircea Caruntu, Constantin F. Dept. of Automatic Control and Applied Informatics Gheorghe Asachi" Technical University of Iasi Iasi Romania Dept. of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands

ISBN: (纸本)9798350337983

The cooperative adaptive cruise control (CACC) functionality received significant interest in the state-of-the-art due to its advantages in optimizing traffic flow. The model-based predictive control (MPC) strategy was used in various studies due to its advantages in improving the performance of the vehicles (reducing the travel costs, improving the quality of the travel by reducing sudden accelerations, and ensuring the stability of the platoons). Moreover, MPC solutions are built to maximize the advantages of vehicular communication by sharing predictions on states of vehicles (e.g., velocities, accelerations, trajectories). In addition, MPC is also used to compensate for the disturbances added by communications. Thus, this paper proposes a CACC strategy for a vehicle platoon. The solution is based on the distributed MPC (DMPC) strategy, and the controller is proposed in discrete time, ensuring predecessor-follower string stability for the whole platoon. © 2023 IEEE.

关键词： Vehicles

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Parameter Adjustments in POMDP-Based Trajectory Planning for Unsignalized Intersections 10

Parameter Adjustments in POMDP-Based Trajectory Planning for...

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10th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2024

作者： Kollarčík, Adam Hanzálek, Zdeněk Dept. of Control Engineering Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Czech Institute of Informatics Robotics and Cybernetics Czech Technical University Prague Czech Republic

ISBN: (纸本)9789897587030

This paper investigates the problem of trajectory planning for autonomous vehicles at unsignalized intersections, specifically focusing on scenarios where the vehicle lacks the right of way and yet must cross safely. To address this issue, we have employed a method based on the Partially Observable Markov Decision Processes (POMDPs) framework designed for planning under uncertainty. The method utilizes the Adaptive Belief Tree (ABT) algorithm as an approximate solver for the POMDPs. We outline the POMDP formulation, beginning with discretizing the intersection's topology. Additionally, we present a dynamics model for the prediction of the evolving states of vehicles, such as their position and velocity. Using an observation model, we also describe the connection of those states with the imperfect (noisy) available measurements. Our results confirmed that the method is able to plan collision-free trajectories in a series of simulations utilizing real-world traffic data from aerial footage of two distinct intersections. Furthermore, we studied the impact of parameter adjustments of the ABT algorithm on the method's performance. This provides guidance in determining reasonable parameter settings, which is valuable for future method applications. Copyright © 2024 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Vehicles

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A Neural PID End-effector controller for Robotic Manipulator with Joint Position Constraints

A Neural PID End-effector Controller for Robotic Manipulator...

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2023 International Conference on System Science and engineering, ICSSE 2023

作者： Nguyet, Nguyen Tran Minh Ba, Dang Xuan Faculty of Electrical and Electronics Engineering Ho Chi Minh City Viet Nam Department of Automatic Control Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350322941

We present a novel efficient method to control the end- effector of robotic manipulators without solving the inverse kinematics problem in the presence of the hard bound on the joint space motion. The basic Proportional-Integral-Derivative (PID) controller is combined with a nonlinear law to track the position and control the joint move within physical limits. To provide the adaptive ability of such the controller, a neural control signal is integrated to compensate for the internal and external disturbances in the robot dynamic. Stability of the closed-loop system is guaranteed by Lyapunov constraints. The proposed controller is validated in intensive simulation results. © 2023 IEEE.

关键词： End effectors

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Sliding Mode control For Underactuated Nonlinear Mechanical Systems 3

Sliding Mode Control For Underactuated Nonlinear Mechanical ...

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3rd International Conference on Advanced electrical engineering, ICAEE 2024

作者： Feddaoui, Anis Abdeldjalil, Djehaf Mohamed Bilal, Bouchelarm Youcef Islam, Djilani Kobibi Youcef, Djeriri Badji Mokhtar University Genie Electromechanique Laboratory Department of Electromechanical dept Annaba23000 Algeria Djillali Liabes University Faculty of Electrical Engineering Department of Automatic Control Sidi Bel-Abbes22000 Algeria Mustapha Stambouli University Faculty of Sciences and Technology Department of Electrical Engineering Mascara29000 Algeria Djillali Liabes University Faculty of Electrical Engineering Department of Electrical Engineering Sidi Bel-Abbes22000 Algeria

ISBN: (纸本)9798350349351

The Rotary Inverted Pendulum (RIP) serves as a quintessential benchmark in control theory, representing a challenging and unstable system of paramount importance. In this study, we focus on a Quanser platform to investigate the application and significance of sliding mode control in stabilizing the RIP. The importance of RIP lies in its portrayal of real-world control challenges encountered in industries ranging from manufacturing to robotics. Its inherent instability and underactuation make it an ideal testbed for advanced control strategies. Our research delves into the experimental application of sliding mode control, on the Quanser RIP platform. Through rigorous modeling, simulation, and practical implementation, we aim to demonstrate the effectiveness of this control strategy. This study contributes to the broader discourse on control systems and automation, showcasing the potential of sliding mode control in addressing complex and dynamic systems. The outcomes of our research not only advance the understanding of control theory but also have practical implications for industries where precise control and stabilization are critical. © 2024 IEEE.

关键词： Sliding mode control

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From Model Predictive control to Data Driven control to Meet High Efficiency Objective of a PMSM Drive System 16

From Model Predictive Control to Data Driven Control to Meet...

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16th International Conference on Applied and Theoretical Electricity, ICATE 2024

作者： Costin, Madalin Bivol, Ion 'Dunarea de Jos' University of Galati Dept. of Electrical Engineering and Energy Conversion Systems Galati Romania Gheorghe Asachi Technical University of Iasi Dept. of Automatic Control and Applied Informatics Iasi Romania

ISBN: (纸本)9798350388107

In this paper is proposed a Data Driven control (DDC) law of a Permanent Magnet Synchronous Machine (PMSM) drive as an alternative to the Model Predictive control (MPC) strategy. The DDC method is designed for the inner control structure of the PMSM drive, the outer speed loop being employed by a classical linear PI controller. Thus, the DDC is based on build up a database of the relevant quantities as electromagnetic torque, speed, voltages and current, all obtained in steady-state regime with MPC strategy, being selected for the highest efficiency values for a given pair of speed and torque. The learning process of the DDC strategy by a mutidimesional interpolation method leads to obtain high performances in both steady-state and dynamic regimes, without any additional optimal current reference command. A comparative analysis done in Matlab simulation environment of the results obtained by both MPC and DDC control laws shows the effectiveness of the last strategies. The DDC method provide a robust optimal control under energetic constraints, being more suitable then the classical MPC law that can not offers reliable results for a large area of conditions in practice. © 2024 IEEE.

关键词： MATLAB

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Optimal Tuning of FOPID-Like Fuzzy controller for High-Performance Fractional-Order Systems

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Computers, Materials & Continua 2022年第1期70卷 171-180页

作者： Ahmed M.Nassef Hegazy Rezk College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Computers and Automatic Control Engineering Faculty of EngineeringTanta UniversityTanta31733Egypt Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt

This paper addresses improvements in fractional order(FO)system *** the classical proportional-integral-derivative(PID)-like fuzzy controller can provide adequate results for both transient and steady-state responses in both linear and nonlinear systems,the FOPID fuzzy controller has been proven to provide better *** high performance was obtained thanks to the combinative benefits of FO and fuzzy-logic *** paper describes how the optimal gains and FO parameters of the FOPID controller were obtained by the use of a modern optimizer,social spider optimization,in order to improve the response of fractional dynamical *** group of systems had usually produced multimodal error surfaces/functions that occasionally had many variant local *** integral time of absolute error(ITAE)used in this study was the error *** results showed that the strategy adopted produced superior performance regarding the lowest ITAE *** reached a value of 88.22 while the best value obtained in previous work was 98.87.A further comparison between the current work and previous studies concerning transient-analysis factors of the model’s response showed that the strategy proposed was the only one that was able to produce fast rise time,low-percentage overshoot,and very small steady-state ***,the other strategies were good for one factor,but not for the others.

关键词： Fuzzy-logic control fractional-order systems parameter estimation optimization

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Energy Quality Analysis of electrical Drive Systems with Induction Machine 17

Energy Quality Analysis of Electrical Drive Systems with Ind...

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17th International Conference on engineering of Modern Electric Systems, EMES 2023

作者： Silaghi, Helga Spoiala, Viorica Costea, Claudiu Magdoiu, Liliana Gamec, Jan Silaghi, Alexandru Marius University of Oradea Control Systems Engineering and Management Department Oradea Romania Technical University of Kosice Faculty of Electrical Engineering and Informatics Kosice Slovakia University of Oradea Electrical Engineering Department Oradea Romania

ISBN: (纸本)9798350310634

Inthis paper many improvements in dealing with energy quality issues that could arise in electrical drive systems using asynchronous machines are presented. A series active power filter is used in electrical drive systems with induction motors to reduce harmonic current and voltage. We also propose a variety of active power filters with hysteresis current value control. Lastly, some experimental results for an electrical drive system utilizing an induction motor and a PWM converter are provided. These findings are followed by a discussion of the system's energy quality issues. © 2023 IEEE.

关键词： Induction machine

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A Deep Learning Approach for Faults Recognition of Dissolved Oxygen Sensor in Wastewater Treatment Plants 28

A Deep Learning Approach for Faults Recognition of Dissolved...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Ghinea, Liliana Maria Miron, Mihaela Ratnaweera, Harsha Electrical Engineering and Electronics Faculty of Automation Computers Department of Automatic Control and Electrical Engineering Department Galaţi Romania Computers Electrical Engineering and Electronics Faculty of Automation Department of Computer Science and Information Technology Galaţi Romania Norwegian University of Life Sciences Faculty of Science and Technology Oslo Norway

ISBN: (纸本)9798350339918

Fault diagnosis in wastewater treatment plants (WWTPs) is important to protect communities and ecosystems from toxic elements discharged into water. In this sense, fault identification of sensors plays an important role as they are the key components of the water plants control, especially because environmental legislation is very strict when referring to failures or anomalies in WWTPs. This paper analyzes the performances of two Deep Learning models, a Feedforward Neural Network (FFNN) and a 1D Convolution Neural Network (1DCNN) for identifying five operating states of the dissolved oxygen (DO) sensor: normal and faulty (bias, stuck, spike and precision degradation faults). The experiments were conducted on the Benchmark Simulator Model No 2 (BSM2) developed by the IWA Task Group. The performance of the Deep Learning (DL) classifiers was evaluated via accuracy, precision, recall, and F1-score metrics. The best overall classification accuracy was obtained by FFNN, 98.32% for training and 98.30% for testing. © 2023 IEEE.

关键词： Wastewater treatment

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