Mechatronics engineer with 20-year experience on Process Control and Automation Projects.
Work experiences in Brazil, United States, France and China, and studies in Germany.
Master in Production and Maintenance at Université Lille 1 (France).
Founded Ledefi in 2017, since then over 30 projects have been delivered to the industries.
CASE #CPIW - CHAMBER TEMPERATURE AND HUMIDITY CONTROL
CASE #MCAS - AUTOMATED MACHINE FOR STEEL BLADE CUTTING
CASE #RPAV3 - TECHNOLOGICAL UPGRADE OF CRANES
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CEO & Lead Engineer
Ledefi Industrial Solutions (Brazil)
Jan 2017 - Present
Development of industrial solutions on automation (PLC & SCADA programming on different platforms, such as Siemens, Rockwell, GE, Phoenix, Schneider, WEG), instrumentation, process control and simulation.
Control & Reliability Engineer
ArcelorMittal Vega (Brazil)
Jul 2012 - Mar 2016 (3 years, 8 months)
Evaluation, troubleshooting and improvements on the Cold Mill and Pickling line control loops.
Reliability and automation support on the maintenance of the Cold Mill and Pickling line.
Asset Risk Management plant coordinator.
VAMA Valin ArcelorMittal Steel (China)
May 2014 - Sep 2014 (4 months, 1 day)
Support on the startup of the Tandem Cold Mill line, evaluating and improving the performance of all control loops (thickness, strip tension, gap, flatness, shifting, bending...).
Training of the local maintenance team.
Research Doctorate - Process Control
Universidade Federal de Santa Catarina, Brazil 2016 - 2019
Master - Production & Maintenance
Telecom Lille 1 - Ecole d'Ingénieurs, France 2010 - 2011
Bachelor - Control & Automation Engineering
Universidade Federal de Santa Catarina, Brazil 2000 - 2005
Niveau atteint sur l'échelle ALTE: 1.9
Capacités acquises selon le référentiel de la Communauté Européenne: B1/3
Remaks: this exam has been taken during my first months living in France, where I stayed for 3 years working and studying.
Versant for English
Overall score 80 (highest possible).
Total score 103 on Test of English as a Foreign Language.
ROBUST MIMO SMITH PREDICTOR TUNING VIA CONVEX OPTIMIZATION
Congresso Brasileiro de Automatica
The basic principles of a multivariable Smith Predictor controller tuning method for stable processes is presented. Originally developed for PID tuning, this automatic method formulates the tuning procedure as a convex optimization problem, where convergence to a local minimum is guaranteed. It can be readily extended in many ways to more complex applications. The method is tested on simulated multivariable processes with constant transport delays.
WAVELET NEURAL NETWORK MODEL BASED PREDICTIVE CONTROL
SICOP - IFAC Workshop on Solving Industrial Control and Optimization Problems
A new predictive control strategy is proposed here. The model with which predictions are made from is a wavelet neural network. This way, all of the optimization work has to be done in a different way, demanding the use of state-of-the-art space-search algorithms like SQP. Experimental results obtained from a four-tank system controlled is presented.
Redução de Erros de Balanço de Utilidades Fluidas
13o. Seminário de Automação de Processos - Associação Brasileira de Metalurgia
This article provides an overview of actions taken to reduce the average absolute errors of volume balances, applied to the fuel gases BFG (Blast Furnace Gas) and COG (Coke Oven Gas), whose distribution is managed by the Utilities Area of ArcelorMittal Tubarão steel plant.