Átila Madureira Bueno

Prof. Dr. Átila Madureira Bueno

Institute of Science and Technology, São Paulo State University (UNESP), Sorocaba 18087-180, Brazil
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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Chaos, Solitons & Fractals
Verified
Journal Article
Closed access
CBCristiane M. Batistela
Cristiane M. Batistela
DCDiego P.F. Correa
Diego P.F. Correa
ÁBÁtila Madureira Bueno
Átila Madureira Bueno
Jose Roberto Castilho PiqueiraJose Roberto Castilho Piqueira
Jose Roberto Castilho Piqueira

27 August 2013 in Journal of Intelligent Material Systems and Structures
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Journal Article
Closed access
IIItamar Iliuk
Itamar Iliuk
Jose Manoel BalthazarJose Manoel Balthazar
Jose Manoel Balthazar
Angelo Marcelo TussetAngelo Marcelo Tusset
Angelo Marcelo Tusset
JPJosé Rc Piqueira
José Rc Piqueira
BPBento R de Pontes
Bento R de Pontes
ÁBÁtila Madureira Bueno
Átila Madureira Bueno
An analysis of a new energy harvester model is presented, based on a simple portal frame structure, considered a nonideal system due to the kind of excitation influenced by the response of the system, such as a direct current motor with limited power supply. The horizontal motion of the portal frame is considered under a nonideal excitation, and the approximated mathematical model of the system is obtained, considering the coupled oscillators. To model the piezoelectric coupling, the nonlinearities of the piezoelectric material were considered. A constantly sustained energy harvesting is essential for using these devices in real applications; for this, a control strategy is required. Passive control was obtained by means of a nonlinear substructure with properties of nonlinear energy sink. Numerical simulations were performed in order to find best values of control parameters. To check the robustness of the control strategy, an analysis considering uncertainties in the parameters of the model was performed, showing the efficiency of the passive control (energy pumping) in the suppression of the chaotic behavior, as well as the sensitivity of the control system to parametric errors. Passive control leads the system to a stable periodic orbit, allowing a more efficient energy harvest, due to the higher peak-to-peak amplitude of oscillation mean value. The passive control strategy eliminates the need for an active microcontroller to stabilize the system in a periodic orbit, improving the energy budget (harvested versus expended). The results show the displacement of the structure and the maximum power harvested by the device with and without passive nonlinear energy sink. It can be concluded that the application of passive control was successful. The control was robust and improved the energy harvested through the suppression of the chaotic motion, leading the system to a periodic orbit with stable amplitude of vibration, without damaging the structure.

9 August 2016 in Journal of Vibration and Control
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Journal Article
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Angelo Marcelo TussetAngelo Marcelo Tusset
Angelo Marcelo Tusset
VPVinícius Piccirillo
Vinícius Piccirillo
ÁBÁtila Madureira Bueno
Átila Madureira Bueno
JBJosé Manoel Balthazar
José Manoel Balthazar
DSDanuta Sado
Danuta Sado
RBReyolando Manoel Lopes Rebello da Fonseca Brasil
Reyolando Manoel Lopes Rebello da Fonseca Brasil
In this paper the dynamical interactions of a double pendulum arm and an electromechanical shaker is investigated. The double pendulum is a three degree of freedom system coupled to an RLC circuit based nonlinear shaker through a magnetic field, and the capacitor voltage is a nonlinear function of the instantaneous electric charge. Numerical simulations show the existence of chaotic behavior for some regions in the parameter space and this behaviour is characterized by power spectral density and Lyapunov exponents. The bifurcation diagram is constructed to explore the qualitative behaviour of the system. This kind of electromechanical system is frequently found in robotic systems, and in order to suppress the chaotic motion, the State-Dependent Riccati Equation (SDRE) control and the Nonlinear Saturation control (NSC) techniques are analyzed. The robustness of these two controllers is tested by a sensitivity analysis to parametric uncertainties.

20 April 2013 in Journal of Control, Automation and Electrical Systems
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Journal Article
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RNRicardo Nozaki
Ricardo Nozaki
JBJosé Manoel Balthazar
José Manoel Balthazar
Angelo Marcelo TussetAngelo Marcelo Tusset
Angelo Marcelo Tusset
BPBento Rodrigues de Pontes
Bento Rodrigues de Pontes
ÁBÁtila Madureira Bueno
Átila Madureira Bueno

30 September 2013 in The European Physical Journal Special Topics
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Journal Article
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III. Iliuk
I. Iliuk
Jose Manoel BalthazarJose Manoel Balthazar
Jose Manoel Balthazar
Angelo Marcelo TussetAngelo Marcelo Tusset
Angelo Marcelo Tusset
Jose Roberto Castilho PiqueiraJose Roberto Castilho Piqueira
Jose Roberto Castilho Piqueira
BPB. Rodrigues de Pontes
B. Rodrigues de Pontes
ÁBÁtila Madureira Bueno
Átila Madureira Bueno

23 November 2012 in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
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Journal Article
Closed access
JBJosé Manoel Balthazar
José Manoel Balthazar
Angelo Marcelo TussetAngelo Marcelo Tusset
Angelo Marcelo Tusset
SSSilvio Luiz Thomaz de Souza
Silvio Luiz Thomaz de Souza
ÁBÁtila Madureira Bueno
Átila Madureira Bueno
The tapping mode is one of the mostly employed techniques in atomic force microscopy due to its accurate imaging quality for a wide variety of surfaces. However, chaotic microcantilever motion impairs the obtention of accurate images from the sample surfaces. In order to investigate the problem the tapping mode atomic force microscope is modeled and chaotic motion is identified for a wide range of the parameter's values. Additionally, attempting to prevent the chaotic motion, two control techniques are implemented: the optimal linear feedback control and the time-delayed feedback control. The simulation results show the feasibility of the techniques for chaos control in the atomic force microscopy.