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检索条件"机构=Post-Graduate Program in Electrical Engineering-PPgEE"

共 373 条记录，以下是41-50 订阅

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Multi-Objective Grey Wolf Optimizer for the Tuning Process of the FOPID Controller

Multi-Objective Grey Wolf Optimizer for the Tuning Process o...

引用

IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Allan Christian Krainski Ferrari Gideon Villar Leandro Leandro Dos Santos Coelho Gilberto Reynoso Meza Eletrical Engineering Department Federal University of Paraná UFPR Curitiba Brazil Electrical Engineering Graduate Program (PPGEE) Federal University of Paraná (UFPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná (PUCPR) Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Paraná Curitiba Brazil

This article implements the multi-objective grey wolf optimizer (MOGWO) in the tuning process of the gains of the Fractional-Order Proportional-Integral-Derivative (FOPID) controller applied in the control of a boiler system. For a sequence of 100 runs, this application had compared and analyzed with other implementation that uses MOGWO to optimize the gains of the classical Proportional-Integral-Derivative (PID) controller. In the computational simulation, the value hypervolume metric had used to analyze the performance of the controllers. In the results, the implementation of the FOPID showed superior to PID, where the comparison had validated by a hypothesis test. Despite the higher computational cost concerning the tuning process of the PID controller, this study proved that the FOPID controller can be advantageous for industrial applications.

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An Online Application of Edge-Cloud Computing for Lithium-Ion Battery with SOC Estimation

An Online Application of Edge-Cloud Computing for Lithium-Io...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Joelton Deonei Gotz João Pedro dos Reis Mendes José Rodolfo Galvão Emilson Ribeiro Viana Fernanda Cristina Corrêa Milton Borsato Graduate Program in Mechanical Engineering (PPGEM) Federal Technological University of Paraná Curitiba-PR Brazil Graduate Program in Electrical Engineering (PPGEE) Federal Technological University of Paraná Ponta Grossa-PR Brazil Graduate Program in Physics and Astronomy (PPGFA) Federal Technological University of Paraná Curitiba-PR Brazil

The adoption of cloud and edge computing for several application motivates the monitoring and controlling a Lithium-ion batteries (LIB) online and remotely. In these scenarios, this work presents a case of study by the application of a hybrid concept of edge-cloud computing. The edge collects the data from the cells and sent directly to the cloud where several Machine Learning algorithms can be built, trained and tested. Then, the trained models are downloaded to the edge and do inferences in real time. The proposed idea presented still an SOC estimator based on Long Short-Term Memory (LSTM) with average error below 5%.

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Multi-Objective Grouped Grey Wolf Optimization of PID Controllers Applied to a Water Treatment Plant Model

Multi-Objective Grouped Grey Wolf Optimization of PID Contro...

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Congress on Evolutionary Computation

作者： Yan Lieven Souza Lúcio Viviana Cocco Mariani Leandro Dos Santos Coelho Electrical Engineering Graduate Program (PPGEE) Federal University of Parana (UFPR) Curitiba Parana Brazil Department of Electrical Engineering Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) and Federal University of Parana (UFPR) Curitiba Parana Brazil Department of Electrical Engineering Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) and Federal University of Parana (UFPR) Curitiba Parana Brazil

A comparison of proportional-integral-derivative (PID) controller tuning for a 2x2 Multiple-Input Multiple-Output (MIMO) water treatment plant model is presented. The PID tuning procedures are based on Multi-Objective Grey Wolf Optimizer (MOGWO) and Multi-Objective Grouped Grey Wolf Optimizer (MOGGWO) are performed under two different initial conditions. The tuning procedure is structured as a multi-objective optimization problem with four objective functions, the integral time-squared error is minimized in each output response, and the integral of the control actions is minimized in each input. MOGWO is a metaheuristic based on the hunting behavior of grey wolves, following the hierarchy and leadership procedures that these animals have, while the proposed MOGGWO is a new version proposed in this study with two different groups with different functionalities. The performance was analyzed by 50 runs based on statistical metrics. MOGGWO can find more local minima since its Pareto front is more dispersed than that found by MOGWO.

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Performance Comparison of Single-Phase PV Inverter Topologies Regarding Efficiency and Power Density

Performance Comparison of Single-Phase PV Inverter Topologie...

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IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Aurean Belo Guimaraes Junior Thiago Ribeiro De Oliveira Graduate Program in Electrical Engineering (PPGEE) Federal University of Minas Gerais (UFMG) Belo Horizonte Brazil Department of Electronic Engineering Federal University of Minas Gerais (UFMG) Belo Horizonte Brazil

This paper investigates the performance of single-phase inverter topologies regarding their efficiency and power density. The main objective is to verify competitive advantages among topologies and determine which ones are more suitable for being employed as PV inverters. A brute force multi-objective algorithm is used to produce multiple inverter designs for each topology and create a solution space, whereas a Pareto-front optimization selects the optimal designs for comparison.

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ADHD Diagnosis through Resting-State EEG Frequency Analysis with Random Forest 46

ADHD Diagnosis through Resting-State EEG Frequency Analysis ...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Pedrollo, Guilherme R. Bagesteiro, Leia B. Franco, Alexandre R. Balbinot, Alexandre Universidade Federal do Rio Grande do Sul Post-Graduate Program in Electrical Engineering Porto Alegre Brazil San Francisco State University Department of Kinesiology San Francisco United States Nyu Grossman School of Medicine Child Mind Institute The Nathan Kline Institute for Psychiatric Research New York United States

ISBN: (纸本)9798350371499

Attention-deficit hyperactivity disorder (ADHD) affects about 5% of the population. In order to minimize ADHD effects, it is important to identify its biomarkers. We analyzed electroencephalographic (EEG) signals using a random forest (RF) classifier optimized with a genetic algorithm (GA) to find differences between control and ADHD groups. Data from 856 participants were analyzed with a preprocessing procedure that included artifact subspace reconstruction (ASR) and independent component analysis (ICA). After preprocessing and GA optimization, the RF classifier achieved 88.6% total average accuracy considering the theta frequency band. This outcome suggests that this approach has great potential as a biomarker analyzer for ADHD diagnosis. © 2024 IEEE.

关键词： Electroencephalography

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Small Signal Modeling of DC-DC SEPIC Converter With Multilevel Flying Capacitor Switching Cell

Small Signal Modeling of DC-DC SEPIC Converter With Multilev...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Rhavél Batista Morais Montiê Alves Vitorino Jens Friebe Graduate Program in Electrical Engineering (PPgEE–COPELE) Industrial Electronics and Machine Drive Laboratory (LEIAM) Federal University of Campina Grande (UFCG) Kassel Germany Department of Power Electronics University of Kassel Kassel Germany

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

Nowadays multilevel converters have been widely adopted in low and medium power DC-DC conversion systems, especially for automotive applications and renewable energy systems. However, the increase in the number of components and the complexity of the control also complicate the modeling and control of these converters. A dynamic model will be detailed, studied, and used to illustrate the properties of the SEPIC DC-DC converter with three-level flying capacitor switching cell. The model’s applications include, but are not limited to, controller analysis, design for load voltage regulation, and flying capacitor voltage balancing. Both simulations and experimental results are provided to verify the principle of operation.

关键词： Renewable energy sources Multilevel converters Capacitors Prototypes Switches Voltage control Integrated circuit modeling Vehicle dynamics Load modeling Switching circuits

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Vector field for curve tracking with obstacle avoidance

Vector field for curve tracking with obstacle avoidance

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IEEE Conference on Decision and Control

作者： Arthur H. D. Nunes Adriano M. C. Rezende Gilmar P. Cruz Gustavo M. Freitas Vinicius M. Gonçalves Luciano C. A. Pimenta Graduate Program in Electrical Engineering (PPGEE) Universidade Federal de Minas Gerais (UFMG) Belo Horizonte MG Brazil

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

In this work, we extend a recently proposed methodology to construct artificial vector fields for robot navigation in n-dimensional spaces to track and circulate time-varying curves. Now, we incorporate the ability to deviate from obstacles that might be static or dynamic by constructing a collision-free vector field. It can be considered a reactive approach in which the obstacles can be locally sensed and then circumnavigated at a fixed distance. The novel vector field that allows the circumnavigation of obstacles and the traversal of a target curve is built upon the consideration of the closest points on the obstacles, which can assume a generic shape, and the closest point on the curve. To validate our method, we present ROS-based computational simulations and real-world experiments with a wheeled robot and a UAV quadcopter.

关键词： Shape Navigation Computational modeling Robot sensing systems Mobile robots Collision avoidance Quadrotors

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CAN-Modes: In-vehicle datasets generation and analysis in different driving situations

CAN-Modes: In-vehicle datasets generation and analysis in di...

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Workshop on Communication Networks and Power Systems (WCNPS)

作者： Alexandre Dos Santos Roque Lucas Melo Da Silva Alves Edison Pignaton de Freitas Regional Integrated University of High Uruguay and Missions - URI Santo Angelo RS Brazil Graduate Program of Electrical Engineering (PPGEE) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre RS Brazil

ISBN: (数字)9798331507152

ISBN: (纸本)9798331507169

In-vehicle networks are responsible for safety-critical control applications, depending on data communication between electronic control units, and most are based on the CAN protocol. A huge amount of data is necessary for reliability, safety, and cybersecurity analysis in today's automotive solutions, especially to feed machine learning models. It is relevant to provide comprehensive datasets about CAN communication and different driving situations, which represents a lack in recent research because most public datasets are very limited. This paper addresses this problem by providing a set of CAN datasets collected in real cars and driving conditions, analyzed, and preprocessed for further research applications. The results present data collection and labeling, in three car brands, two data types (RAW and OBD pids), and they are available in recognized public sources.

关键词： Protocols Machine learning Data models Safety Power system reliability Automobiles Reliability Labeling Feeds Data communication

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Implementation and Analysis of LoRaWAN Network in Landfill

Implementation and Analysis of LoRaWAN Network in Landfill

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International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)

作者： João Paulo Silvino Belo da Silva Raimundo Carlos Silvério Freire Cleonilson Protásio de Souza Ícaro Modesto Granja Aguiar Post-Graduate Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brasil Department of Electrical Engineering Federal University of Campina Grande Campina Grande Brasil Department of Electrical Engineering Federal University of Paraíba João Pessoa Brasil

ISBN: (数字)9798350350869

ISBN: (纸本)9798350350876

LoRaWAN is a network protocol characterized by low latency, long-range wireless transmission reaching distances of tens of kilometers, and low power consumption of end devices (nodes). These properties favor the application of this technology in various fields related to the Internet of Things, such as environmental monitoring. This article presents methodological strategies for implementing and analyzing a wireless sensor network based on LoRaWAN technology in a landfill to promote future monitoring of system variables. Therefore, a radio station consisting of a LoRaWAN gateway was installed. Physical variables that could influence the proper functioning of the network were considered, such as physical location and specification of the LoRaWAN gateway antenna, obstacles between devices and data transmission parameters. Finally, the analysis of the network performance in the landfill indicated that the most significant issue pertains to the shaded areas resulting from the irregular terrain.

关键词： Wireless communication Performance evaluation Wireless sensor networks Transducers Power demand Transmitting antennas LoRaWAN Landfills Logic gates Soil

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Mathematical Analysis and Space Vector Modulation of the Three-phase Buck-Boost Rectifier with Reactive Power Capability

Mathematical Analysis and Space Vector Modulation of the Thr...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Yan Pontes Figueiredo Montie Alves Vitorino Jens Friebe Graduate Program in Electrical Engineering (PPgEE-COPELE) Industrial Electronics and Machine Drive Laboratory (LEIAM) Federal University of Campina Grande (UFCG) Campina Grande Brazil Department of Power Electronics University of Kassel Kassel Germany

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

Buck-boost current-source based converters are attractive for applications in electric vehicles (EVs) due to several inherent benefits regarding high-power charging. However, methods are still needed to increase the efficiency of these converters. This paper covers a mathematical analysis of the three-phase buck-boost rectifier with reactive power capability and shows its equation and operating conditions for a wide range of power factors. In addition, the control strategy based on space vector modulation (SVM) is presented in detail, as well as the passive elements design. Experimental results show that the converter modulated by SVM is more efficient in terms of switching losses compared to scalar modulation.

关键词： Support vector machines Reactive power Mathematical analysis Modulation Rectifiers Switching loss Energy conversion Aerospace electronics Electric vehicles Vectors

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