2013
DOI: 10.1016/j.jsv.2013.04.002
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Receptance method for active vibration control of a nonlinear system

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Cited by 28 publications
(5 citation statements)
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“…Nonlinear saturation controller (NSC) is one of the frequently applied approaches [11], as it has been used with some other selected algorithms on a geometrically nonlinear beam-like composite structure [12,13]. Neural Network [14] and Receptance [15] are two other methods implemented for nonlinear vibration suppression. A control law based on cubic velocity feedback was proposed for a system under principal parametric excitation in single-mode control [16].…”
Section: Introductionmentioning
confidence: 99%
“…Nonlinear saturation controller (NSC) is one of the frequently applied approaches [11], as it has been used with some other selected algorithms on a geometrically nonlinear beam-like composite structure [12,13]. Neural Network [14] and Receptance [15] are two other methods implemented for nonlinear vibration suppression. A control law based on cubic velocity feedback was proposed for a system under principal parametric excitation in single-mode control [16].…”
Section: Introductionmentioning
confidence: 99%
“…As future work, a multiple DOF system and uncertainties should be taken into account in order to construct a robust control strategy. The linearized system can also be investigated, using different control strategies, for instance, pole placement in the frequency domain (Ghandchi-Tehrani et al., 2013, 2015). Especially, if many simulations are needed to generate the numerical simulations, fast computations with a linearized system could be of great value.…”
Section: Discussionmentioning
confidence: 99%
“…The authors note the presence of noise phenomena that interfere with the assessment and accounting of these phenomena, it is proposed to implement using mathematical processing. The work [5] is devoted to the application of the method in nonlinear active vibration control systems. As the authors note, the advantage of such an integral method is that there is no need to know the parameters of the system, such as mass, attenuation, and stiffness coefficients, which are usually obtained by finite element methods.…”
Section: Issn 2226-3780mentioning
confidence: 99%