Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Raony M. Fontes"'
Publikováno v:
Digital Chemical Engineering, Vol 5, Iss , Pp 100056- (2022)
A virtual flow meter (VFM) is an interesting and growing method to replace or support expensive and high-maintenance dependent physical flow rate sensors in oil and gas production systems. This paper presents a new use of Physics-Informed Neural Netw
Externí odkaz:
https://doaj.org/article/dfef56e36f5c4344925067df5a5440d9
Publikováno v:
IFAC-PapersOnLine. 54:176-181
This work presents the benefits of using an adaptive model predictive control approach for controlling an ESP-lifted oil well system. The idea behind the proposed scheme is the successive linearization of the plant nonlinear model and incorporate it
Publikováno v:
Journal of Petroleum Science and Engineering. 216:110816
Publikováno v:
Procedings do XV Simpósio Brasileiro de Automação Inteligente.
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
The vehicle mass is an important information to guarantee drivability, performance feel, fuel economy and safety. In this sense, the application of strategies to reach these goals depends on how accurate the vehicle operating information is, requirin
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
Este trabalho avalia a aplica¸c~ao do filtro de Kalman (EKF) estendido na estimação da massa veicular. O veículo de estudo é um caminhão simulado em ambiente computacional de forma a permitir variar sua massa durante a simulção para atestar o
Autor:
Odilon Santana Luiz De Abreu, Raony M. Fontes, Erbet Almeida Costa, Márcio A. F. Martins, Leizer Schnitman
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
This paper presents an application of a stabilizing model predictive control (IHMPC) strategy with the underlying guarantee of feasibility to an oil production well system with Electric Submersible Pump (ESP) installation. The proposed controller is
Autor:
Diego Arruda Rodrigues, Antonio Santos Sánchez, Ricardo de Araújo Kalid, Raony M. Fontes, Márcio A. F. Martins, Ednildo Andrade Torres
Publikováno v:
Renewable Energy. 115:1055-1066
This research presents a mathematical model that uses artificial neural networks for the assessment of the wave energy potential of sites, based on data recorded by wave monitoring instrumentation. The model was implemented and validated in two diffe
Autor:
Yuri Oliveira, Diogo A. Martins, Alírio S. Sá, Oberdan Pinheiro, Márcio A. F. Martins, Raony M. Fontes
Publikováno v:
Proceedings of the III Brazilian Humanoid Robot Workshop (BRAHUR) and IV Brazilian Workshop on Service Robotics (BRASERO).
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The proposed auto-tuning method is a layer of receding horizon optimization problem whose objective function is able to consider the performance/robustness through the trade-off representation combining the responses of the process variables and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::237d04b669e71628baffa3e1f7963b3f