2022
Authors
Figueiredo, N; Pádua, L; Cunha, A; Sousa, JJ; Sousa, AMR;
Publication
CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2022, Hybrid Event / Lisbon, Portugal, November 9-11, 2022.
Abstract
2022
Authors
Vinagre, J; Ghossein, MA; Jorge, AM; Bifet, A; Peska, L;
Publication
ORSUM@RecSys
Abstract
2022
Authors
Santos, MF; Honorio, LM; Moreira, APGM; Garcia, PAN; Silva, MF; Vidal, VF;
Publication
ISA TRANSACTIONS
Abstract
Autonomous Robots with multiple directional thrusters are normally over-actuated systems that require nonlinear control allocation methods to map the forces that drive the robot's dynamics and act as virtual control variables to the actuators. This process demands computational efforts that, sometimes, are not available in small robotic platforms. The present paper introduces a new control allocation approach with fast convergence, high accuracy, and dealing with complex nonlinear problems, especially in embedded systems. The adopted approach divides the desired nonlinear system into coupled linear problems. For that purpose, the Real Actions (RAs) and Virtual Control Variables (VCVs) are broke in two or more sets each. While the RA subsets are designed to linearize the system according to different input subspaces, the VCV is designed to be partially coupled to overlap the output subspaces. This approach generates smaller linear systems with fast and robust convergence used sequentially to solve nonlinear allocation problems. This methodology is assessed in mathematical tutorial cases and over-actuated UAV simulations.
2022
Authors
Jesus, TC; Costa, DG; Portugal, P; Vasques, F;
Publication
FUTURE INTERNET
Abstract
Wireless visual sensor networks have been adopted in different contexts to provide visual information in a more flexible and distributed way, supporting the development of different innovative applications. Although visual data may be central for a considerable set of applications in areas such as Smart Cities, Industry 4.0, and Vehicular Networks, the actual visual data quality may be not easily determined since it may be associated with many factors that depend on the characteristics of the considered application scenario. This entails several aspects from the quality of captured images (sharpness, definition, resolution) to the characteristics of the networks such as employed hardware, power consumption, and networking efficiency. In order to better support quality analysis and performance comparisons among different wireless visual sensor networks, which could be valuable in many monitoring scenarios, this article surveys this area with special concern on assessment mechanisms and quality metrics. In this context, a novel classification approach is proposed to better categorize the diverse applicable metrics for quality assessment of visual monitoring procedures. Hence, this article yields a practical guide for analyzing different visual sensor network implementations, allowing fairer evaluations and comparisons among a variety of research works. Critical analysis are also performed regarding the relevance and usage of the proposed categories and identified quality metrics. Finally, promising open issues and research directions are discussed in order to guide new developments in this research field.
2022
Authors
Retorta, F; Gouveia, C; Sampaio, G; Bessa, R; Villar, J;
Publication
International Conference on the European Energy Market, EEM
Abstract
This work presents a methodology to segment the MV electric grid into grid zones for which the active power flexibility needs that solve the forecasted voltage and current issues are computed. This methodology enables the Distribution System Operator (DSO) to publish flexibility needs per zones, allowing aggregators to offer flexibility by optimizing their portfolio of resources in each grid zone. A case study is used to support the methodology results and its performance, showing the feasibility of solving grid issues by activating flexibility per grid zones according to the proposed methodology. © 2022 IEEE.
2022
Authors
de Soares, EL; Jacobina, CB; de Freitas, NB; Rocha, N; Maia, ACN;
Publication
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Abstract
This paper presents a unidirectional converter for wind energy conversion systems (WECS) based on six-phase synchronous generators. The proposed configuration uses three two-level three-phase half-controlled converters, nine legs in total, connected in series with the generator stator windings, in an open-end winding configuration (OEW). Half-controlled converters are composed of three controlled switches and three non-controlled switches, reducing the overall cost of the system. The converters operating principles, pulse-width modulation (PWM), and generator control are discussed. Furthermore, the proposed system is compared with conventional configurations concerning harmonic distortion and semiconductor losses. Simulation and experimental results show the validity of the discussed strategies. Finally, it was verified that the proposed system maintains low-distorted currents over the generator stator windings, despite the uncontrolled switches. © 2022 IEEE.
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