Graduated in Electronic Engineering at the Instituto Tecnológico de Aeronáutica in 1975, Master in Sciences from the Physics Departement of the Instituto Tecnológico de Aeronáutica in 1978 and Ph.D. in Electrical Engineering, University of Wisconsin - Madison, in 1986. Has experience in Aerospace Engineering, focusing on aerospace system modeling and control, with an emphasis in aircraft parameter estimation, control of flexible structures, flight tests, dynamic modeling, and flight actuation systems (electromechanical and electrohydraulic control systems). Address: Brazil
AIAA Propulsion and Energy 2020 Forum, Aug 17, 2020
With an always increasing demand for more efficient aircraft due to both economic and environment... more With an always increasing demand for more efficient aircraft due to both economic and environmental purposes, academy and industry are studying hybrid-electric and full-electric concepts to explore new aircraft design opportunities. This paper proposes a study based on a Cessna 208B Grand Caravan, using it as a platform to implement distributed electric propulsion and enable the use of high-lift propellers by electrifying the propulsive system. Key design parameters of the aircraft are varied to evaluate the effectiveness of the lift augmentation system as well as its effects on generated thrust and aerodynamic efficiency. The effects of the propellers slipstreams on the wing are implemented on SUAVE, a conceptual level design environment, which is used to integrate the aircraft model and run the simulations. Results of the analyses differ from what is available on the literature, yielding aerodynamic efficiency gains that are much more modest than what was expected according to assumptions made on recent publications.
2017 International Conference on Computational Science and Computational Intelligence (CSCI), 2017
A methodology was developed in this work for the automatic counting of individual seedlings in pl... more A methodology was developed in this work for the automatic counting of individual seedlings in plantations of Eucalyptus spp from high definition photographs with the help of Scientific Python Libraries from literature. The problem to be investigated was presented and two different ways of solving it were discussed together with their implications. With the algorithm properly validated on training data, an actual business case of seedlings detection and counting out of a mosaic aerial image was proposed as testing data. The high-definition pictures were taken by multispectral sensor onboard an UAV from an Eucalyptus spp plantation stand of approximately 25 hectares and provided by Eldorado Brasil. The results were considered very encouraging, stimulating future works in this line of research.
This work presents numerical and experimental results of a damage detection technique based on st... more This work presents numerical and experimental results of a damage detection technique based on strain energy, with the application on a real size composite helicopter main rotor blade (MRB). The blades from helicopter rotors are a very important structural element - they very long beam-like structures that undergo different load conditions and aerodynamic forces at different parts of it. The damage detection method used in this study is based on the modal strain energy formulation of a beam. Initially, finite element method (FEM) simulations of a composite MRB blade section were carried out to study the technique proposed and afterwards experimental parameters are were extracted via an experimental modal analysis. Vibration modes and natural frequencies were identified by means of a least squares fit (PolyMAX). For this purpose, 55 uniaxial accelerometers were positioned along the blade to measure the most significant vibration modes and an electrodynamic shaker was used to excite t...
25th International Congress of Mechanical Engineering, 2019
Subscale flight testing requires control and identification of unmanned aerial vehicles, in turn,... more Subscale flight testing requires control and identification of unmanned aerial vehicles, in turn, these two aspects both require a competent dynamic model of the system. This work uses the port-based Bond Graph graphical modeling framework to model and simulate the dynamics and aerodynamics of a fixed wing unmanned aerial vehicle (UAV). This model is used to design a total energy compensated based controller (TECS) and to perform system identification using the Output Error Method (OEM). The platform of this work consists of two UAVs, a subscale model of a BAE Hawk fighter jet and a commercially available drone, the Vector-P. These UAVs are used to determine the aerodynamic derivatives and compare these with simulations, wind tunnel and real airplane data. Proper subscale flight testing requires repetitive steady flight conditions, which can only be properly realized using a stabilizing autopilot. The multidisciplinary nature of UAVs make them especially suitable for modeling using bond graphs, a universal domain-independent energy and port- based modeling framework. The explicit representation of energy in bond graph modelling matches very well with TECS control and provides valuable insights in controller operation and opens new doors to future UAV controlling techniques based on Port Hamiltonian systems.
AIAA Propulsion and Energy 2020 Forum, Aug 17, 2020
With an always increasing demand for more efficient aircraft due to both economic and environment... more With an always increasing demand for more efficient aircraft due to both economic and environmental purposes, academy and industry are studying hybrid-electric and full-electric concepts to explore new aircraft design opportunities. This paper proposes a study based on a Cessna 208B Grand Caravan, using it as a platform to implement distributed electric propulsion and enable the use of high-lift propellers by electrifying the propulsive system. Key design parameters of the aircraft are varied to evaluate the effectiveness of the lift augmentation system as well as its effects on generated thrust and aerodynamic efficiency. The effects of the propellers slipstreams on the wing are implemented on SUAVE, a conceptual level design environment, which is used to integrate the aircraft model and run the simulations. Results of the analyses differ from what is available on the literature, yielding aerodynamic efficiency gains that are much more modest than what was expected according to assumptions made on recent publications.
2017 International Conference on Computational Science and Computational Intelligence (CSCI), 2017
A methodology was developed in this work for the automatic counting of individual seedlings in pl... more A methodology was developed in this work for the automatic counting of individual seedlings in plantations of Eucalyptus spp from high definition photographs with the help of Scientific Python Libraries from literature. The problem to be investigated was presented and two different ways of solving it were discussed together with their implications. With the algorithm properly validated on training data, an actual business case of seedlings detection and counting out of a mosaic aerial image was proposed as testing data. The high-definition pictures were taken by multispectral sensor onboard an UAV from an Eucalyptus spp plantation stand of approximately 25 hectares and provided by Eldorado Brasil. The results were considered very encouraging, stimulating future works in this line of research.
This work presents numerical and experimental results of a damage detection technique based on st... more This work presents numerical and experimental results of a damage detection technique based on strain energy, with the application on a real size composite helicopter main rotor blade (MRB). The blades from helicopter rotors are a very important structural element - they very long beam-like structures that undergo different load conditions and aerodynamic forces at different parts of it. The damage detection method used in this study is based on the modal strain energy formulation of a beam. Initially, finite element method (FEM) simulations of a composite MRB blade section were carried out to study the technique proposed and afterwards experimental parameters are were extracted via an experimental modal analysis. Vibration modes and natural frequencies were identified by means of a least squares fit (PolyMAX). For this purpose, 55 uniaxial accelerometers were positioned along the blade to measure the most significant vibration modes and an electrodynamic shaker was used to excite t...
25th International Congress of Mechanical Engineering, 2019
Subscale flight testing requires control and identification of unmanned aerial vehicles, in turn,... more Subscale flight testing requires control and identification of unmanned aerial vehicles, in turn, these two aspects both require a competent dynamic model of the system. This work uses the port-based Bond Graph graphical modeling framework to model and simulate the dynamics and aerodynamics of a fixed wing unmanned aerial vehicle (UAV). This model is used to design a total energy compensated based controller (TECS) and to perform system identification using the Output Error Method (OEM). The platform of this work consists of two UAVs, a subscale model of a BAE Hawk fighter jet and a commercially available drone, the Vector-P. These UAVs are used to determine the aerodynamic derivatives and compare these with simulations, wind tunnel and real airplane data. Proper subscale flight testing requires repetitive steady flight conditions, which can only be properly realized using a stabilizing autopilot. The multidisciplinary nature of UAVs make them especially suitable for modeling using bond graphs, a universal domain-independent energy and port- based modeling framework. The explicit representation of energy in bond graph modelling matches very well with TECS control and provides valuable insights in controller operation and opens new doors to future UAV controlling techniques based on Port Hamiltonian systems.
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