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R. Panneer Selvam

Bio: R. Panneer Selvam is an academic researcher from Council of Scientific and Industrial Research. The author has contributed to research in topics: System identification & Added mass. The author has an hindex of 1, co-authored 1 publications receiving 12 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, a nonlinear system identification approach, specifically the reverse multiple input-single output (R-MISO) method, was used to identify a large floating system in random ocean waves with linear and cubic nonlinear mooring line stiffnesses.
Abstract: Dynamics of a large moored floating body in ocean waves involves frequency dependent added mass and radiation damping as well as the linear and nonlinear mooring line characteristics. Usually, the added mass and radiation damping matrices can be estimated either by potential theory-based calculations or by experiments. The nonlinear mooring line properties are usually quantified by experimental methods. In this paper, we attempt to use a nonlinear system identification approach, specifically the reverse multiple input-single output (R-MISO) method, to coupled surge-pitch response (two-degrees-of-freedom) of a large floating system in random ocean waves with linear and cubic nonlinear mooring line stiffnesses. The system mass matrix has both frequency independent and frequency dependent components whereas its damping matrix has only frequency dependent components. The excitation force and moment due to linear monochromatic waves which act on the system are assumed to be known that can either be calculated or obtained from experiments. For numerical illustration, a floating half-spheroid is adopted. The motion as well as the loading are simulated assuming Pierson-Moskowitz (PM) spectrum and these results have been analyzed by the R-MISO method yielding frequency dependent coupled added mass and radiation damping coefficients, as well as linear and nonlinear stiffness coefficients of mooring lines satisfactorily.

12 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, a novel identification approach for linear and nonlinear time-variant systems subject to non-stationary excitations based on the localization properties of the harmonic wavelet transform is developed.

39 citations

Journal ArticleDOI
TL;DR: In this paper, a multiple-input/single-output (MISO) system identification technique is developed for parameter identification of nonlinear and time-variant oscillators with fractional derivative terms subject to incomplete non-stationary data.

28 citations

Dissertation
01 Jan 2011
TL;DR: In this paper, the authors present a list of FIGURES, FIGURES and TABLES for the XV DECLARATION, XVI CHAPTER, and the XV NOMENCLATURE of ACKNOWLEDGEMENTS.
Abstract: ....... ........................................................................................................................................................... I CONTENTS....... ........................................................................................................................................................... II LIST OF FIGURES ........................................................................................................................................................ V LIST OF TABLES .......................................................................................................................................................... XI NOMENCLATURE ....................................................................................................................................................... XII ACKNOWLEDGEMENTS ........................................................................................................................................... XV DECLARATION... ...................................................................................................................................................... XVI CHAPTER

16 citations

Journal ArticleDOI
TL;DR: In this article, a spectral identification technique is developed for determining the parameters of nonlinear and time-variant multi-degree-of-freedom (MDOF) structural systems based on available input-output (excitation-response) realizations.

13 citations

Journal ArticleDOI
TL;DR: In this paper, a robust output feedback control methodology for the course keeping control of a fully submerged hydrofoil vessel is proposed, where an iterative learning observer is established for the estimation of system states and the generalized disturbances.
Abstract: This paper proposes a novel robust output feedback control methodology for the course keeping control of a fully submerged hydrofoil vessel. Based on a sampled-data iterative learning strategy, an iterative learning observer is established for the estimation of system states and the generalized disturbances. With the state observer, a feedback linearized iterative sliding mode controller is designed for the stabilization of the lateral dynamics of the fully submerged hydrofoil vessel. The stability of the overall closed-loop system is analyzed based on Lyapunov stability theory. Comparative simulation results verify the effectiveness of the proposed control scheme and show the dominance of the disturbance rejection performance.

9 citations