Engenharia de Produção
URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/19
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14 resultados
Resultados da Pesquisa
- Development of a Digital Twin for smart farming: Irrigation management system for water saving(2023-02-15) ALVES, R. G.; MAIA, R. F.; Fabio Lima© 2023 Elsevier LtdWorld agriculture faces the challenge of increasing its agricultural production by 50 % from 2012 to 2050, while reducing water consumption, as agriculture accounts for 69 % of all fresh water used on the planet. The use of technologies such as the internet of things, artificial intelligence, digital twins, among others, in the agricultural environment is increasing. Digital twin applied to agriculture is in its early stages of development. A digital twin is one in which data flows automatically and in both directions between a physical object and a virtual object. Withing this context, this paper presents a digital twin of a smart irrigation system in an application scenario. A digital twin for an irrigation system is one in which the physical components of the system, such as its sensors and actuators, are connected with their virtual representations. The system is composed of a FIWARE-based internet of things platform and a discrete event simulation model in Siemens Plant Simulation software. The internet of things platform is used to collect, aggregate and process soil, weather and crop data to calculate daily irrigation prescriptions. The simulation model is used to simulate the behavior of an irrigation system defined in an application scenario. The communication between the platform and the simulation model happens in real-time and is intermediate by an OPC UA server. A application scenario is considered to evaluate the behavior of the system and to evaluate, in future research, different irrigation strategies. The benefits of the systems proposed are twofold. First, evaluate the behavior of the Internet of Things (IoT) platform and an irrigation system before implementing both in the field. Second, enable the evaluation of different irrigation strategies in parallel with current farm practices. Within the system proposed, farmers can evaluate the behavior of the system before implementing in their farms and allowing the system to operate automatically. It is possible to infer that the system can improve farm operations and reduce water usage by allowing farmers to gather soil, weather and crop information and evaluate multiple irrigation strategies.
- MRAS-based sensorless control for high-speed induction machine connected to the grid(2013-11-05) Fabio Lima; ROSA, F. C.; FUMAGALLI, M. A.This paper describes a MRAS-based sensorless control of a high-speed squirrel cage induction machine connected to the grid. This paper contributes with the subject when using a high-speed machine supported by active magnetic bearings (AMB) for energy applications. This kind of system is suitable for energy generation from gas sources. To control the grid side as well as the generator side a back-to-back converter with voltage oriented control (VOC) and rotor field oriented control (RFOC), respectively, is used. Simulations are presented for the MRAS observer, and some experimental results are also showed. A test bench was designed and the final experimental results are undergoing. © 2013 IEEE.
- Estimation of Energy Consumption in Manufacturing Lines Using Machine Learning into Industry 4.0 Context(2022-01-05) Fabio Lima; NONOGAKI, L. K. B. Y.; CHANG, J.; Alexandre Augusto Massote© 2022 PICMET.This paper deals with the simulation of production lines focusing on opportunities of reducing the energy consumption. The simulation of systems is one of the pillars of the so-called Industry 4.0. It has been used a digital manufacturing software, which allow the creation of digital twins, to carry out the models. Once the model has been created and validated, a machine learning approach, more specifically a Neural Network was trained to estimate the energy consumption of the line. The estimation of the energy consumption allows to use this variable to take decisions of the production scheduling. Moreover, the neural network package is embedded into the digital manufacturing software which provides more flexibility to solve the problem using one single software tool. The results validate the proposal, and, for future work, the effective creation of the digital twin should be performed.
- High-speed grid connected induction generator supported by magnetic bearings(2012-10-25) Fabio Lima; ROSA, F. C.; FUMAGALLI, M. A.This paper proposes an implementation of a high-speed induction generator supported by magnetic bearings and connected to the grid. An indirect field oriented control (IFOC) is used for high performance of the generator side. On the grid side the voltage oriented control (VOC) is applied to guarantee the high quality of the current injected into the grid. The magnetic bearings improve the system performance because the absence of any kind of friction. The maintenance of the system is also reduced. The high speed and the absence of mechanical coupling between the turbine and the generator also improve the system performance as well as reduce the total length of the system. Simulation results were carried out with the Matlab/Simulink software. An experimental test bench was constructed to prove the system performance and experimental results are in progress. © 2012 IEEE.
- Development of a high-speed turbo-generator supported by active magnetic bearings(2012-10-25) ROSA, F. C.; Fabio Lima; FUMAGALLI, M. A.This paper presents the construction of a mechanical shaft supported by active magnetic bearings (AMB), reproducing a prototype of a turbogenerator. In turbogenerators, the shaft is supported by two radial and one axial magnetic bearings. At the center of the shaft was inserted a rotor of an induction machine, which will operate as motor as well as generator, and at the shaft extremity is coupled a small turbine. The mechanical modeling and assembly are presented in details. After that the control system of the AMB is introduced. Simulations and experimental results are presented to validate the AMB. The high speed AMB supported shaft reduces the length of the system as well as losses and increases the system efficiency. The validation of the high-speed shaft supported by AMB allows the energy generation, in the future, provided by the asynchronous generator mounted upon the shaft. Prime mover like gas will be considered to provide the mechanical power. © 2012 IEEE.
- Speed neuro-fuzzy estimator applied to sensorless induction motor control(2012) Fabio Lima; KAISER, W.; SILVA, I. N.; OLIVEIRA, A. A.This work proposes the development of an Adaptive Neuro-fuzzy Inference System (ANFIS) estimator applied to speed control in a three-phase induction motor sensorless drive. Usually, ANFIS is used to replace the traditional PI controller in induction motor drives. The evaluation of the estimation capability of the ANFIS in a sensorless drive is one of the contributions of this work. The ANFIS speed estimator is validated in a magnetizing flux oriented control scheme, consisting in one more contribution. As an open-loop estimator, it is applied to moderate performance drives and it is not the proposal of this work to solve the low and zero speed estimation problems. Simulations to evaluate the performance of the estimator considering the vector drive system were done from the Matlab/Simulink software. To determine the benefits of the proposed model, a practical system was implemented using a voltage source inverter (VSI) to drive the motor and the vector control including the ANFIS estimator, which is carried out by the Real Time Toolbox from Matlab/Simulink software and a data acquisition card from National Instruments. © 2012 IEEE.
- Vector control of a high speed induction machine supported by magnetic bearings(2015-11-09) FUMAGALLI, M. A.; Fabio Lima; ROSA, F. C.© 2015 IEEE.This paper presents the rotor field oriented control (RFOC) of an induction motor supported by magnetic bearings. The shaft of the motor is supported by two radial and one axial magnetic bearings. The rotor was inserted at the center of the shaft, which will operate as motor as well as generator, and at the shaft extremity is coupled a small turbine. The mechanical modeling and assembly are presented in details. After that the control system of the AMB is introduced. The RFOC modelling with impressed stator currents is so introduced. The mechanical and electrical system was constructed in a test bench and the experimental results confirm the good dynamic response of the system. It is the intention to use the system in the future for generating electrical energy from gas sources.
- Petri net application in simulation of ambulatory processes(2015-11-09) Fabio Lima; CORTEZ, M. F. R.; SCHMIDT. P. P.; SILVÉRIO. A. K.; CHANG, J.© 2015 IEEE.This paper presents a simulation of an ambulatory processes using timed Petri net (TPN). The simulation considers the flow of patients in the biggest Brazilian cardiology hospital. The TPN is used as a decision support system (DSS) in order to improve the processes, to reduce the waiting time of the patients in the ambulatory and in this way to assure a high quality service to the patients. Simulations were carried out using the software Visual Object Net++. This is a free software and therefore the presented solution is a low cost solution. To provide a low cost solution is very important since the hospital is kept from the government and operates with limited financial resources. The patients' workflow in the hospital can be faced as a service and the modelling and optimization of these services bring more efficiency to the system as well as improve the human factors involved.
- Evolving fuzzy controller applied in indirect field oriented control of induction motor(2016-03-14) ROSA, F. C.; Fabio Lima; FUMAGALLI, M. A.; BIM, E.© 2016 IEEE.This paper presents the indirect rotor field orientation vector control of a squirrel-cage three-phase induction motor, where an evolving fuzzy controller is used. Both the structure and the parameters of the controller are defined and adapted online from data collected by the plant, without the need of any type of pre-training or previous knowledge of the plant's dynamics. Computational simulations are made under different conditions and validate the capacity of adaptation and autonomy of the controller, which proved to be stable and presented good dynamic response in all the several simulated situations.
- Innovative laboratory model based on partnerships and active learning(2017-12-12) Rodrigo Maia; Alexandre Augusto Massote; Fabio Lima© 2017 IEEE.The advent of the internet of things and industry 4.0 bring new paradigms that tend to affect the way of organizing several human activities, among them the production processes that are ruled by production and human work on a large scale in the production lines. Therefore, it is inevitable to think of how to prepare students for this new, oncoming reality, since these students will have to deal with a society where usual jobs will no longer be available. This paper presents the initiative of two laboratories developed to prepare students in engineering and computer science to deal with the Internet of Things (IOT) and industry 4.0 (I4.0) subjects. These laboratories were developed in partnership with companies: the first one of Digital Manufacturing (DM) and the second one of IOT, and the integrated work of these laboratories approaches with the students the concepts of I4.0 or advanced manufacturing. The collaborative environment between academia and companies, as well as the joint work of two laboratories, allowed graduate students to develop discussions and works that integrate issues of society and companies with academic studies.